You might have come across many videos and posts on your social media feeds about this hot topic of data analyst vacancies and salaries being paid for such roles. Well, most of them speak of hypothetical data but what if I also tell you that the professional networking platform LinkedIn reported vacancies of whooping 1.09 lakhs on their platform? The numbers are really promising but let’s dig down to know the details of the Research Data Analyst you have come looking for. You might be having a lot of questions going on in your mind -How to become a Research Data Analyst? What is the ideal way to get started? Don’t worry you will have the answer to all your questions.
Who is a Data Analyst?
To explain in layman’s terms, a research analyst is the one who cleans up the mess and helps in communicating with the complicated machines in the language (data) they understand. Like, a business analyst analyzes the business and helps in making the decision. As a data analyst, you will be analyzing the data to put it to good use.
The Job Typically Includes:
Gathering the data
Analyzing the data – removing the clutter
Present data and put it to good use
In the past few years, the world is moving slowly away from certification to skill-based jobs. It wouldn’t be surprising if you have been asked to produce your work on the skill you possess rather than your educational certifications. We will discuss both the parameters of how to take the role of a data analyst with or without having a professional degree.
If you are looking to take up the role without the degree, we would request you drop here and continue reading from the second part.
How to Become a Research Data Analyst? A Step-by-step Guide
As a data analyst, you can be a part of various industries as it is in high demand now. If you are looking to get your first job or trying to shift your career path, here are a few steps that could help you get started.
Understand if it suits you
Start building the basic skills
Work as a freelancer to get better exposure
Create your portfolio
Practice, Practice, and Practice
Get yourself started with an internship/full-time job
Certification
Let’s discuss them in detail! You are with me, right?
1. Understand if It Suits You
Most of the time we tend to make our career decisions based on the content we have consumed on the Internet or have known someone doing great in their particular fields. This seems to be easy to decide without having to risk trying your own hands rather than depending on someone’s suggestions who has already done it. Trust me! You may not end up making the right decision every time.
Hence, it becomes very important to understand what suits you better and what makes you happy. So, research more about the tasks you will be involved in day-to-day life, speak/connect with people on the professional network sites who have already taken up this career, and most importantly consider your present life situation.
2. Start Building the Basic Skills
One of the most important things to do while finding a new job or changing your career path is to list the tools that are required. The tools here are the technical skills you need to gather.
Python
SQL
Statistics
Data Preparation
Start accumulating knowledge about the above-mentioned skills. Most of them are available for free cost on the Internet. If you are a professional who doesn’t have much time to read through yourself, take up live classes on weekends (this will help you stay committed to the timeline and finish the required-on time rather than watching a recorded video which can lead to procrastination).
Python is a simple and beautifully designed language that is easy to understand and anyone with Zero knowledge or exposure can easily understand it. SQL on the other hand is similar to the way python is and doesn’t consume much of your time.
3. Work as a Freelancer to Get Better Exposure
Once you gather a sufficient amount of knowledge on the skills we have discussed, it is always better to test your knowledge or skills by putting them to work. If you haven’t started your professional career, it is highly recommended to take any internship programs (paid/non-paid) to understand your flaws and groom yourself to be better.
If you are a working professional and do not have time to join an internship, you can test your skills by freelancing or answering technical questions on the platforms like GitHub.
While a resume will have the details of your skills, the portfolio acts as proof. Hence, building a portfolio becomes most important as it showcases your work and helps the employer with the good details about your skills when they are looking for the right fit.
How to Build the Portfolio?
Choose a platform to showcase your work. There are many free platforms that will help to host your portfolio.
LinkedIn:
This is a great platform for all professionals. Whether you are starting your career or having a thriving career, this platform can be leveraged to show up your skills. Write a detailed explanation of the things you worked on or like working on. Also, have someone recommend you from within your network which can be a great help.
GitHub:
This is an open-source community with almost 56 million developers and is another well-liked choice where you can host your portfolio for no cost. You can begin contributing data projects to a public repository after creating an account, where you can display components like your code and Jupyter Notebooks.
Kaggle:
The adaptable cloud platform for Jupyter Notebooks known as Kaggle can also be used as a free online portfolio for your work. You can present any data sets you’ve produced or any code you’ve developed here, as well as the outcomes of any Kaggle data science competitions in which you participate.
5. Practice, Practice, and Practice
Let’s admit this, we human beings tend to forget the things that we learn or read. The only way we can keep the bar high is by practicing what we learn. Taking up a course is just 20% of the job and the rest 80% depends on how well you enhance the skills. The only way you can sharpen your skills is to practice what you have learned regularly. Take up small tasks and work on them. Test yourself to do better every day. This is the only way you can master it.
6. Get Yourself Started with an Internship/full-Time Job
Since we have discussed the things required in great detail, we are at the final and most important part of finding yourself a career as a Data Analyst. According to one of the job-finding portals, here are the top companies that are looking for you:
Accenture
TCS (Tata Consultancy services)
Cognizant
Amazon
Capgemini
Infosys
EY
Wipro and many more
As we are done with learning the skills, enhancing the skills and building the portfolio, it is time for the world to see what you have in your kitty. Create your profile on the job-finding portals. Most of them today are freely available.
7. Certification
Though the world is slowly moving away from certificates to skills. The trust factor is still attached to this small piece of paper. Hence, having a valid certificate will add great value. Also, not every employer may consider your skills without having a certificate that proves that you exhibit a skill.
It is important to choose the best institutes or colleges that offer the course. This is one most important things out of all the steps we have discussed till now. We have curated a few best picks for you to help you reduce your research time.
How to Become a Research Data Analyst? Here is the Complete Road Map
Since we have looked at the basic details of data analysis, it’s time to go through the steps of becoming a data analyst. And we will try to find an answer to the most asked question: How to become a Research Data Analyst? We will look at the details in 3 different parts which will include the prerequisites, different kinds of roles available, and job opportunities (Salary as per the industry standards).
Prerequisites
Before choosing any industry, it becomes important to understand the details about the requirement that the industry might need from you as an individual. This will include the skills you need to acquire, any specific degree, or any soft skills that will add weight to your resume.
Mathematics and Statistics
To start your journey as a data analyst, you need to be good at Mathematics and Statistics. If you are someone who doesn’t like numbers and hates the complications of math formulas, you will not enjoy doing your job. If you don’t have any prior exposure to these subjects, it is highly recommended to start learning these skills and acquire them which could be done in just a month.
Most organizations/companies prefer someone who has a bachelor’s degree in the above subject. This isn’t a compulsion rather will be an advantage over the competition.
Tools and Programming Languages
You might need to learn a few new skills to race ahead of everyone and the tools or programming languages we are going to discuss might be different for each company. For example, banking-related firms can choose to pick someone better at SAS than python. Confused? Need not worry, the article further will guide you.
Excel:
We are in the 21st century now and we have got robots doing most of our jobs and making decisions. Technology has evolved to a great extent, but this beautiful tool remains one of the best inventions of mankind. Needless to say, you need to master excel skills to make your job easier, along with the basic skills you might have to learn the below skills to enhance the knowledge
Functions
VLookUP
Macros & VBA
Charts
Pivot Table
SQL (Structured Query Language):
A relational database’s structured query language (SQL) is a programming language used to store and process data. To store, update, remove, search for, and retrieve data from the database, utilize SQL statements. SQL can also be used to optimize and maintain database performance. A few of the important skills that you need to develop in SQL are:
Aggregator functions
Joins
Views
Query optimization
Triggers transactions
Programming Languages:
To become a data analyst, you need compulsorily to know the programming languages but given the cutthroat competition and bias, you need to make sure you stand out. As discussed earlier, few companies can particularly choose to pick someone based on their operational requirement. A few of the well-known programming languages you need in your kit are:
Python: Out of all the programming languages, python will be preferable for anyone who wishes to learn to program. Due to its built-in library and ease of understanding, this programming language has made its way to various applications across the industry. It is easy to learn, and you can finish the curriculum in a matter of 3 months.
R language: R might be a good fit for you if you’re passionate about the statistical computation and data visualization aspects of data analysis.
SAS: If you are looking to start your career in a banking-related company, SAS (statistical software suite) is a language that needs to be on your list. Most banking companies like Citi bank prefer SAS over any other language as this has proven to be effective for banking transactions.
Visualization Tools:
As a data analyst, you will be dealing with a lot of data, and explaining the data over the tool using charts will be easier and more understandable. Imagine explaining the population of the countries in the world with just numbers and putting the same on the charts. Which one would be easier to understand? You are right, the charts are an easier way to analyze the data. Needless to say, to need to be an expert at using these visualization tools, to name a few:
Tableau: One of the leading visualization tools which are used for data analysis and has been named as one of the most used tools in this segment.
Power Bi: Microsoft’s Power BI is a cloud-based business analytics tool that anybody can use to quickly and effectively view and analyze data.
Hope you have added all these to your checklist. All the details we have discussed aren’t a compulsion and you need to also ensure that you will not be able to master everything. Hence, choose the one based on your requirement and comfort.
Soft Skills
When you become a data analyst along with data you will be dealing with the top hierarchy of the organization. Since you are involved in making the decision, you are expected to be a notch up in your soft skills. Needless to say, this will be a great help in clearing your interview and negotiating your salary.
Even after having heavy baggage of skills, marketing companies may not consider someone with average soft skills. YouTube is the best source to learn soft skills free of cost. Now that we have discussed how to become a research data analyst in a detailed manner. We will move on to discuss resume building.
Resume Building
We have discussed all the technical aspects. But the most important thing to do is to show the world what skill you possess and grab the opportunity. While this is a really important thing which most of the freshers ignore or try to inflate the details which are not correct.
As discussed earlier, there could be cases in the company could require a different set of skills they need for their operation. Hence, it becomes most important to tweak your resume when required. The cutthroat competition in the industry needs to stand apart from the crowd.
Job Description and Keywords
While applying for any job, go through the job description in great detail and try to find the keywords that are matching with your skills. For example, if you have learned the Python language, you will be mentioning the projects you have worked on and the papers you have published. Try to highlight these things which will seek the attention of the employer.
Projects
Most organizations prefer to choose folks who have practical knowledge about any subject. And any practical knowledge can only be acquired by working on the skills. Ensure you have at least two of the projects you have worked on or if you don’t have anything to put on this set of resumes, it is highly recommended to take up any projects with the help of Kaggle.
Certifications
Though we are moving away from the certifications. It is always recommended to get some certifications to rank yourself higher. LinkedIn and Google certifications are the best tools to make use of. This will be a booster to your ranking.
Work Experience
If you have already worked as a data analyst earlier, clearly mention the work experience and the technology you have worked on. For someone fresher, you can mention the internship that you have undergone.
We are almost at the end of the discussion. We have discussed how to become a research data analyst. Now, we will discuss how to find yourself a job and companies which prefer a data analyst.
Create Your Account on Job Portals
Create a profile of yours on any well-known job portals like LinkedIn, Shine, Monster, Naukri etc. Most of them offer free services, you can use them to apply for jobs.
Referrals
If you have decided on joining any particular company you like, you can contact any of the employees who are already working in these organizations and ask them to refer you. You can contact employees through LinkedIn or any social media.
List the Companies
Not all companies will be looking for a data analyst. Hence, you need to ensure you are aware of the companies that are looking for you. Here are a few well-known names:
Mc Kinsey
Bain
BCG
Deloitte
Accenture
Now that we have discussed How to become a Research Data Analyst? Let’s dive into a few of the most frequently asked questions.
FAQs
Q1. What does a data analyst typically earn?
An annual salary of Rs. 10–12 lakh is typical for data analysts. Experiential learning makes things better. You’ll find rich possibilities fairly early in your career if you have the talent.
Q2. I’m an engineer; can I take a data analytics course?
Anyone from any field can take this course; there are no prerequisites. Being an engineer would be advantageous because you have studied mathematics, which forms the core of the data analytics course. Anyone, whether or not they have a degree, can take this course because the majority of them are beginner-friendly. It is advised to examine the qualifying requirements from the institute in question if you have a specific one in mind.
Q3. After completing the online data analytics course, what career profiles should I consider?
Data analysts have become a significant position in the current business environment. Business analysts, research analysts, project managers, and data analysts are just a few of the positions that professionals can apply for. The retail, banking, healthcare, telecommunications, e-commerce, financial, and sales sectors are the main areas that employ data analyst experts.
Q4. What are the ideal abilities of data analysts?
Data analysis is a process that involves analyzing and interpreting data using a variety of tools and approaches. Listed below are a few technical and soft skills needed to succeed as a data analyst.
Visualization of data.
Cleaning data
NoSQL and SQL.
Computer learning.
Algebra II and Calculus
Q5. How to become a Research Data Analyst with a full-time job?
Given the world is moving into digital space, this question doesn’t need to be answered specifically. Since the skill can be developed digitally, you just need to ensure that your time is being utilized effectively.
Q6. How to become a Research Data Analyst as a homemaker?
Getting a few basics stronger and regular practice will ensure that you will learn efficiently.
Q7. How to become a Research Data Analyst as a student?
As a student, you might have a little hard time learning any new skills. Start your journey with a few free youtube videos and enroll yourself for suitable courses.
Q8. How to become a Research Data Analyst, if I don’t have any technical background?
If you don’t have a technical background, you will have to learn a few basic languages (not completely) like C, and HTML for basic understanding. Later, you can plan for full-time skill building.
Q9. How to become a Research Data Analyst, if I belong to a finance background?
If you want to shift your career to tech, it is always better to get the basic essentials first. Taking up the research data analyst skill isn’t recommended unless the basics are in place.
Q10. How to become a Research Data Analyst, if I belong to a medical background?
If you want to shift your career to tech, it is always better to get the basic essentials first. Taking up the research data analyst skill isn’t recommended unless the basics are in place.
Conclusion:
The discipline of data analysis is expanding every day. Data analysis is being used by all firms, which is why this position is paying quite well. This field has enormous potential because it requires significantly fewer workers than there are now on the market. One can open the door to a prosperous and bright future by enrolling in an online data analysis course. The course is also becoming more and more popular among working people because it can be completed online and helps their careers.
Digital marketing is a booming industry with a growing number of job openings. It is a viable career for anyone looking for high pay jobs. In this article, we have outlined the course information, along with the course duration and costs, for people who are seeking the top digital marketing courses in Springs. Anyone wishing to improve their digital skills can use this extensive guide.
“A brand is no longer what we tell the consumer it is- it is what consumers tell each other it is.”- Scott Cook, Founder, and Chairman of the Executive Committee. On reading the above quote stated by Scott Cook, don’t you see that this has already taken its place in the market?
Yes, today’s Internet-based society has made it incredibly simple for any firm to connect with potential clients. It depends on how successfully our brand connects with the relevant consumers. Every type of business, from small startups to established corporations, uses the internet as a marketing tool to promote their brands online in today’s world.
Now, why do you believe that online advertising is given such a high priority? It’s pretty easy; in the past, we had media outlets like TV, radio, newspapers, and magazines through which we could promote our businesses. These channels are still in use today, but they have changed to become more digital.
Table of Contents
What is Digital Marketing?
Why Digital Marketing is important?
Eligibility Criteria for Digital Marketing Courses in Springs
The reason why one should choose Digital Marketing as a Career
Top 5 Digital Marketing courses in Springs
Conclusion
FAQ’s
What is Digital Marketing?
Digital Marketing is the method of promoting any recent brand into the market digitally along with traditional marketing methods. Anyrecentbrandthataimstosucceedinthecurrentmarketmustincorporatedigitalmarketingstrategiesintoitsoverallbusinessplan.
To begin with the list of Digital Marketing Courses in Springs. Let’s try and understand why Digital Marketing has an important role in today’s market.
The very main objective of using Digital Marketing is its affordability which is less expensive than other marketing strategies to reach potential customers. Digital Marketing hence saves money and reaches out to more customers. Business and marketing strategies have altered in line with technological advancements.
The majority of firms go digital by establishing an online presence through digital marketing. Digital marketing is both affordable and focused on getting results. Currently, customers and business owners may connect and interact online thanks to digital marketing, which is the preferred and popular type of marketing.
It is Simpler to Connect with the Potential Customers Who Would Buy Your Goods or Services
To attract new clients, there were times when traditional marketing techniques including hangouts, email, broadcasting, cold phoning, print ads, and more were used. Nowadays, PPC, Social Media Marketing, SEO strategies, and more have helped us attract an increasing number of targeted clients.
Hats off to the digital marketing sector for making the marketing approaches much more straightforward. In the end, digital marketing enables you to carry out the research required to establish your customer personas and hone your approach to make sure you’re interacting with customers who are most likely to make a purchase.
Evaluation of Campaign Performance and Changes
Analyzing your campaign becomes crucial to gain insightful information. A smart data-driven marketing plan that uses a little digital marketing budget can help you reach a sizable and relevant audience. By implementing various digital marketing techniques, such as precise and data-driven audience identification, matching the appropriate offers and name of the brand with the appropriate audience, etc., you may boost the number of conversations you have with your audience.
The best thing is that you can identify the weak points in the campaign, figure out where buyers lost interest, and then change the web page or content to make it more engaging. Even with a small budget, you can test various ad variations to see which one performs the best.
Additionally, if the campaign is yielding positive results, you may continue using it to further improve your results as the majority of platforms (such as Facebook or Google) compile information about the effectiveness of your ads and gradually enhance targeting. By tracking these, you can compare the performance of your current initiatives and simply assess how efficient your digital marketing is.
Make the Most of Social Media
You can successfully market yourself even if you have a tight budget and don’t want to spend a lot on advertising. A very cost-effective method of marketing is to write a series of social media articles about a hot issue or one that is relevant to your company, utilizing the appropriate hashtags, etc. You’ll get traffic from people who are interested in and related to your subject.
Simply opening an account on a social media platform, such as Facebook, Twitter, or Instagram, can allow you to sell your company or brand to a potentially enormous audience with a very small-time commitment.
Eligibility Criteria for a Digital Marketing Course in Springs
Thesamerequirementsapplytooverseasapplicants: theymusthaveearnedtheirdiplomaoranequivalentdegreefromaninstitutionoruniversitythatisregardedaslegitimateintheirhomecountry. There are no restrictions on the study area or channel for taking Digital Marketing Courses in Springs. You can enroll in this course regardless of your specialization, whether you’re an IT worker, an engineer, a business owner, or anything else.
It’s not necessary to have a degree in business or any marketing-related field. To add to that, I want to let you know that there are few Digital Marketing Courses in Springs that are only open to professionals and not to students from any subject, and that these programs require a few years of work experience. The bulk of digital marketing courses, however, do not require prior professional experience.
Reasons Why One Should Choose a Career in Digital Marketing
Nowadays, everyone searches the internet for the answers they need. Everything that can be answered on Google is.
someone looking to launch a new business or grow an already established one.
IIM SKILLS is well renowned for its online coaching that offers a Master’s in Digital Marketing Courseto anyone looking for Digital Marketing Courses in Springs. They offer skill-based instruction, and according to the top educational blogs, they are ranked no. 1.
Their main goal is to upskill individuals and instill confidence in them so that they can weather any market turbulence. This program includes two months of paid internship in addition to three months of live training. 15+ Live Projects and 10+ Case Studies will be assigned to you to complete. Candidates who sign up for this course will get access to tools worth $80,000.
Candidates will receive a master’s certification from IIM SKILLS and 13 additional Certifications in preparation from Google, Facebook (Meta), and HubSpot upon completion of the program.
Course Module
Introduction to Digital Marketing
Web Development at Word Press
SEO, Search Engine Marketing
Email and Inbound Marketing
Integrated Digital Marketing Strategy
Social Media Marketing
Video Marketing
Affiliate Marketing
ORM
Content Writing and Advanced Blogging
Marketing Automation
Digital Infographics Resume Creation
Course Fees: 6,253.46 South African Rands
2. Hubspot
Hubspot Academy is one of the well-known training institutes that provide Digital Marketing Courses in Springs. They are known worldwide for their excellence in delivering modulated courses that suit every candidate – a student, working Professional, Manager, and more. The course modules have been designed taking the current marketing trends and the syllabus is updated to date.
Those who can look up to this course are those who have graduated from a recognized institution. It may not be specifically Commerce or Marketing, but those from IT are also eligible to take up the course. These courses are also for entrepreneurs who run their businesses, an IT graduate or Engineer who is interested can take this course.
Course Module
There are 9 modules they provide.
Fundamentals of Digital Marketing
Creating a Framework for Building Content Creation
Ways to look at How SEO Strategy suits your business.
Ways of Improving website performances
Learning about how to Create Quality Blog Content
Learn how to Develop a Social Media Strategy
Paid Search Advertising
Ways to Create a high-performance Email.
Course Highlights
Free Online Course
The course consists of 9 lessons with 37 videos and 11 quizzes.
Globally recognized Certifications
3. IIDE Digital Marketing Courses in Springs
For those who are looking for the best Digital Marketing Courses in Springs, IIDE is one of the leading online institutes that work Globally. They have been Awarded Best Digital Marketing Institute by World Education Congress Awards 2021. They offer customized courses that are updated, brief and relevant to the current market. And have trained more than 1lac+ students, who have been placed in reputed companies.
Live Project– (Social Media Advertising) + Final Project
Course Highlights
100+ hrs of Live Class
50+ HRS of Video
1- on – 1 mentoring Session
20+ Industry Tools Mastery
In-Class Live Presentations
7+ Live Projects & Practice Assignments
100% Placement Assistance
Resume & Interview Training
Candidates receive 12+ certificates on completion of all modules.
Candidates will be asked to complete 7 Assignments and 1 final project.
Course Fees: 88,983 INR + Taxes
Duration: 4-5 months
4. WITS University
WITS University is well-known for its excellence in research and academics. Numerous undergraduate and graduate programs are available at Wits, and these programs and degrees are recognized worldwide. WITS University is ranked 2nd for Digital Marketing Courses in Springs course. And is one of the Top 100 universities in Africa.
Course Modules:
Give a complete picture of What Digital Marketing is.
Integrated Marketing Communication (IMC)
Learn about the types of websites and technologies involved in these websites.
Digital Marketing Strategy
To manage user experiences, Call to Action, and Conversion Marketing.
Developing and carrying out mobile marketing plans.
Learning about social media, Content Creation.
Online community management
Online Reputation Management
On and Off-Site SEO
Introduction Email Marketing
Creation and Acquisition of email databases
Learn about types of paid advertising like Google Adwords, affiliate marketing, social media, and display paid advertising.
Google Analytics, Google Webmaster Tools, and Social Media Insight Tools.
Course Highlights:
Owners of businesses, marketing specialists who need expertise in digital marketing, and project managers who work in the online environment can take up this course.
Course Duration: 14 weeks
Course Fees: USD 784
5. Digital School of Marketing (DSM)
TheDigitalMarketingCoursesfromDSMhavereceivedboardcertificationfromMICT (MediaInformationandCommunicationTechnology). Their well–designedcourseshavemetindustryrequirements,thankstothiswell–knownemblem. If you are looking out for Digital Marketing courses in Springs well, DSM is a well-known institute for Digital Marketing.
Learn WordPress to build and customize your website. Learn different techniques to use plugins.
Designing techniques to search and display paid advertisements through Google’s ads platform.
How to create pertinent social media advertising to reach your target audience on various social media platforms.
How to segment and plan an email campaign to generate leads.
How to exploit the user behavior of your target market to develop advertising and marketing strategies for mobile.
How to create a comprehensive campaign integrating all aspects of digital marketing into your business’s goals and strategy
How to write advertising and marketing content that will appeal to and attract your target audiences.
The best ways to create several types of content marketing copy for your particular target group.
Market Strategy – How to strategically employ each digital platform in a corporate setting.
Project Management – How to lead and manage large project teams for successful outcomes.
Fundamental marketing management communication ideas are at the heart of any marketing effort.
Learn the Principles of Brand Management – Discover the guidelines for maintaining a brand effectively.
Basics of Public Relations in the Digital Environment
Course Highlights
This course can be taken by any professional who would want to upskill digital marketing. Any individuals who are looking forward to working in a corporate company for marketing and advertising sectors. Any existing working professionals who are looking for an edge in the working environment.
Course Duration: 3-4 months
Course Fees: Kindly get in touch with the institute for more details.
6. Udemy
Established in 2010, Udemy is a well-known online university with a global following. 74,000 educators are currently teaching 213,000 courses on Udemy. They provide a large range of programs, and one of them is the Digital Marketing Courses, which is endorsed by numerous industry experts around the world.
Based on industry trends, learner and organization feedback, and course module development, the course has been created. The most crucial thing is that they continually update their courses to keep organizations and applicants ahead of the curve.
Course Highlights
12 Modules in One-course
Marketing Research
WordPress
Email Marketing
Copywriting
Search Engine Optimisation
YouTube Marketing
Social Media Marketing (Instagram, Facebook, Twitter, Pinterest, Quora)
LinkedIn Marketing
App Marketing
Google Adwords
Facebook Ads
Google Analytics
You will be capable of successfully identifying the target audience across the main internet marketing platforms by the completion of this course. All of the suggested tactics, advice, and resources are either free or affordable.
Course Duration
22.5 hrs On-demand Video
35 articles
8 downloadable resources
Life Time Access
Course Fees: 3,400 INR
Who Can Take Up This Course
Business entrepreneurs preparing for launch who are unsure about where to begin
Those who run websites and are having trouble increasing traffic and sales
Anyone wishing to enhance their resume with highly in-demand talents.
Frequently Asked Questions FAQs
Q1. What is Digital Marketing?
Digital Marketing is the method of promoting any recent brand into the market digitally along with traditional marketing methods. Is also called Online Marketing with helps the brand to reach out to its potential clients through digital Marketing Strategies like SEO Marketing, PPC, Email Marketing, Content Marketing, and more.
Q2. Is it difficult to apply for Digital Marketing Courses in Springs?
No, there are several reputable colleges where students can enroll in digital marketing courses. Both candidates from India and candidates from outside must possess a basic graduation degree from an accredited university. A list of reputable institutions that provide Digital Marketing Courses in Springs has been discussed. Anyone who wants to apply for this course must meet the requirements.
Q3. What is Data-Driven Marketing?
Data-driven marketing refers to tactics and procedures that make use of data to understand clients’ needs more thoroughly. You are empowered to make better decisions, further, improve and personalize the customer experience, and increase sales when you comprehend the who, what, where, when, and why of how customers react to your marketing activities.
Q4. What are you going to study in Digital Marketing?
Introduction to Digital Marketing
Website Design and Development
In-Depth knowledge of SEO
Search Engine Marketing
Social Media and Content Marketing and Strategies
Web Analytics
Planning and Purchasing Digital Media
Email Marketing
Web Remarketing
Design Essentials
The Management of Online Reputation
Influencer & Podcast Marketing
Marketing Automation
Q5. What is the salary of a Digital Marketer?
The pay scale merely depends on the years of experience in a particular field:
The average pay scale for a Digital Marketing Intern is 1.8L p.a to 5.0L p.a INR.
The average pay scale for a Digital Marketing Manager is 6.4L p.a to 18.5L p.a INR
The average pay scale for a Digital Marketing Executive is 2.7L p.a to 5.2L p.a INR
Conclusion
We observe significant technological advancements in the modern internet era, and the field of digital marketing is no exception. As already stated, the reason why digital marketing is so popular right now is that it makes it simpler for us to connect with our target customers. Additionally, with a thorough evaluation of a company’s success rates, we can always make changes to improve our business through digital marketing. We hope to have provided all the information about the Digital Marketing Courses that is necessary for you to make an informed decision about what is best for you from a career viewpoint.
As it is important to analyze the pros and cons before making a certain decision, it is also important to analyze new data to run a smooth business. How much data does your company collect from its customers? Are they happy with the service? What kind of information do you store? Data analytics is the practice of analyzing large amounts of data to gain insights into customer behavior. This helps businesses improve their offers. In this article, we will learn in-depth about data analytics, how it works, its benefits, data analytics courses in New Jersey, and various job aspects after doing it.
What is Data Analytics?
Data analytics is the process of examining large amounts of raw data sets to uncover patterns and correlations. The goal of data analytics is to gain insights that can be used to improve business performance or make better decisions. Data analytics is a growing field, with more and more businesses using it to improve their operations.
Companies today collect a huge amount of data from their customers. They are interested in hearing what clients have to say. There is a lot of buzz around data analytics and for good reason. The potential to use data to make better decisions is huge.
Data analytics allows you to look at past data to understand what has happened and then use that information to predict what might happen in the future. This makes it possible to identify patterns and trends that would otherwise be hidden.
The usage of data analytics is increasing day by day. It plays a crucial role in how firms function. Data analytics helps in understanding customer behavior, needs, and wants. The data collected can be used to improve marketing campaigns, products, or services. Below are the 5 steps to how data analytics works.
1. Set Defined Questions: The first step in data analytics is to set questions or goals. A business needs to prepare some questions before they can go and collect data. Clearly stating your objectives and research questions in the data analysis process will help you and guide you through the rest.
2. Collect Data: The next step in data analytics is to collect data. There must be data available before you can begin analyzing. Data may contain sales histories, cloud storage, information about clients, and more. It’s crucial to check that all data is accessible when utilizing a business intelligence tool. The amount of information needed ultimately depends on the question you’re trying to answer.
3. Cleansing of data: Now that all of your data is in one place, the third step is to cleanse data. It is crucial to clean the data before starting the analysis phase. Make sure the data is in a format that can be used as a significant component of the cleansing process. This can frequently be a lengthy and difficult procedure. Data purification is essential to maximizing the accuracy of your research.
4. Analyze the data: Now that the process of cleaning the data is completed, the next step is to conduct an analysis. It is important to choose the correct analysis method to analyze the question or goals that were previously stated. There are 3 major analysis methods:
Diagnostic Analysis – Data is used in diagnostic analysis to identify a problem’s root cause and potential solutions.
Descriptive Analysis – By summarizing the most important sections, descriptive analysis can characterize the data.
Predictive Analysis – It uses both historical data and statistical modeling to make future performance predictions for certain indicators.
5. Interpret the results: Once the analysis process is done, it is time to interpret the results. The results can be interpreted in one way by using data visualizations. These can be carried out using various coding tools. These tools are excellent at enabling users to produce visualizations to inform stakeholders, clients, and internal executives about important metrics and trends.
There are many benefits to using data analytics. It helps in various ways in different fields. Whether to make better decisions, increase efficiency or reduce cost, data analytics can help you achieve that.
Data Analytics helps in business: Businesses can make better decisions about improving their products and services by analyzing data. Data analytics can also help businesses identify trends and understand customer behavior.
Data Analytics helps in healthcare: There are many benefits of using data analytics in healthcare. It can help improve diagnoses’ accuracy and treatments, and prevent medical mistakes.
Data Analytics helps in education: Teachers can better understand a student’s interests and work to improve their learning experience by using the information gained from behavior analysis and other assessments.
Data analysis tools are software and programs that gather and examine information about a business, its clients, and its rivals. With millions of data in existence, a data analyst needs to use a variety of tools and techniques to extract insights from data to streamline operations and help in identifying trends. Below are the top 5 Data Analytics tools that you can use.
Python: Python is a well-known multi-purpose programming language extensively used for its adaptability and a large collection of libraries that are useful for analytics and complicated calculations. Python is free to use and you can download it from its official website.
Microsoft Excel: Microsoft Excel helps users to format, organize, and calculate data in a spreadsheet. A few versions of Excel are free for one month. Each of these has a variety of versions with features and price points that vary.
RapidMiner: RapidMiner is a data mining program that supports model deployment, model operations, and data mining. The complete data science platform provides all of the machine learning and data preparation skills required to make a great difference in any organization. There is a 30-day trial for new users after that money is charged.
Tableau: Tableau is a complete data analytics tool that enables you to prepare, analyze, work together, and share your big data findings. With Tableau, users can browse large data, perform self-service visual analysis, and instantly communicate their findings with others within the organization. It is a free tool for discovering, making, and sharing data visualizations with the public.
Power BI: Using Microsoft Power BI, an organization’s data is searched for insight. Power BI may assist in fusing separate data sets, transforming and cleaning the data into a data model, and producing charts or graphs to show the data visually. The Power BI users can access and use all of this information within the company. Both free and paid licensing options are available with the Power BI service.
Data Analytics Career Opportunities
Data analytics is one of the most in-demand occupations globally. Due to the strong demand for their skills and the absence of skilled individuals, data analysts attract top salaries and perks, even at the entry-level. Below are some of the career prospects you can do after finishing the data analytics course.
In data analytics courses, students can pick up the core abilities required to collect, organize, analyze, and display data. Courses cover the fundamentals of programming using applications like Python, Microsoft Excel, and Tableau. If you’re looking to learn data analytics then here are the top 10 offline and online institutes that teach data analytics courses in New Jersey.
Top 11 Institutes for Data Analytics Courses in New Jersey
Rank #1. Data Analytics Courses in New Jersey
1. IIM SKILLS
IIM SKILLS was founded and started by Vaibhav Kakkar in the year 2015 with the first course in content writing. In so many years of journey, they started with a wide range of courses that are certified and globally recognized. One of their high-ranking courses is data analytics courses in New Jersey.
They function worldwide on an online platform based in Delhi. Data Analytics Course by IIM SKILLS is a comprehensive 6 months of live training online session which is offered with an extended practical training internship of 2 months which is optional.
The course curriculum is best designed for all levels of learners from beginners to professionals. They have a team of the most efficient mentors with years of professional experience and are domain experts.
They offer a 100% refund if you are not happy with the first session of the course. Also an additional 10% for those willing for group registrations. The course is practical and tool-oriented with weekly assignments.
Recordings of the live sessions are regularly shared for future reference or in case you miss the session. The learning materials are given free access for a lifetime.
In the list of data analytics courses in New Jersey, we have Saint Elizabeth University. It is a private, coeducational, four-year liberal arts college in Morris Township, New Jersey. There are additional campus areas in Florham Park. SEU provides 25 undergraduate majors, 16 master’s degree programs, and two doctoral degrees.
Course
The M.S. in Data Analytics program offers students the training they require to succeed in this quickly growing and in-demand sector of the economy. As you explore the complexities of data analytics, learn about a variety of topics relating to data collection, manipulation, processing, analysis, and visualization.
Degree Requirements
For the program, a total of 32–36 credits must be completed. All students need to take the following courses:
Next, in the list of data analytics courses in New Jersey, we have Drew University. It is a private university located in Madison, New Jersey. Drew University’s 186-acre campus is covered in woods, giving it the nickname “University in the Forest.” As of autumn 2020, more than 2,200 students were pursuing degrees at the university’s three schools.
Course
The course teaches students how to extract information from data. The curriculum includes statistics, data science, and programming classes in addition to real-world data analytics projects and internship opportunities in a range of industries. Students finish the program with a portfolio of data analytics projects that demonstrate how they used their expertise in internship and case study assignments.
Through these programs in Data Analytics:
Learn how to compile, prepare, and manage data from a variety of sources
Master the methods for data analysis
Experiential learning projects and internships will provide you with a portfolio of your work and job experience
Degree Requirements
All the students need to take the following courses.
Required Courses (30 credits)
Core Courses (21 credits)
DATA502 – Data Visualization
DATA503 – Applied Regression Analysis
DATA504 – Network and Text Mining
DATA505 – Statistics Using R
DATA506 – Computational Thinking/Programming in Python
DATA552 – Data Analytics using SQL and Relational Databases
DATA601 – Machine Learning
Required Capstone Courses (6 credits)
DATA875 – Data Analytics Internship
DATA975 – Case Studies for the Capstone in Data Analytics
Elective Course (3 credits)
DATA551 – Modeling and Simulation
DATA602 – Business Analytics
DATA683 – Topics in Data Analytics
DATA690 – Master’s Tutorial
FIN507 – Financial Economics
FIN523 – Behavioral Finance
Foundational Courses (6 Credits)
Students must complete the below courses before enrolling in the Data Analytics required courses.
STAT207 – Introduction to Statistics or equivalent or permission of Department Chair
CSCI150 – Introduction to Computer Science in Python or equivalent or permission of Department Chair
Contact
Phone:
973-408-3000
Rank #4. Data Analytics Courses in New Jersey
4. Montclair State University (MSU)
Next, in the list of data analytics courses in New Jersey, we have Montclair State University. It is a public research institution located in Montclair, New Jersey, with portions of its campus extending into Little Falls. As of autumn 2018, MSU was New Jersey’s second-largest public university by enrollment.
Course
The Business Analytics (MS) program covers a wide range of topics in-depth, including data analytics, statistical and predictive modeling, the analysis of structured and unstructured data, enterprise architecture, data management, analytics for pricing, knowledge discovery, analytical reporting, and data visualization. Students gain depth of skill in utilizing analytics to identify trends and patterns as well as to refine and improve any suggested data-driven plans.
Admission Requirements
They are looking for students who are proficient in math and who are passionate about applying technological and analytical skills to solve business problems. To be eligible to apply for a graduate program, the students must have the equivalent of a bachelor’s degree in the United States, according to the Office of Graduate Admissions.
For information on the equivalency of non-U.S. degrees, candidates should see their International Applicants website page. There are some supplemental materials that the students need to carry along with their application forms for the Business Analytics program.
Transcript (one from each college attended)
SOP (Students need to write according to the questions asked by them)
Resume
Two letters of recommendation
Curriculum
The MS in Business Analytics program requires 30 credits of coursework. The 10-course, 30-credit program is designed for full- or part-time study and can be completed in 18 to 24 months.
Contact
Phone:
+1 973-655-4000, 973-655-5147
Website:
https://www.montclair.edu/
Mail:
1 Normal Ave,
Montclair, NJ 07043, United States
Email:
graduate@montclair.edu
Rank #5. Data Analytics Courses in New Jersey
5. New Jersey City University School of Business (NJCU)
Next, in the list of data analytics courses in New Jersey, we have New Jersey City University. It is a public university located in Jersey City, New Jersey. Originally founded in 1927 and known as Jersey City State College for the first 40 years of its existence.
Course
The goal of NJCU’s Master of Science in Business Analytics and Data Science program is designed to prepare students for careers in the data analytics sector, which is growing rapidly. After completing the Master of Science in Business Analytics and Data Science degree, graduates will be prepared to gather, store, analyze, and comprehend enormous amounts of big data to support sound business decisions.
Graduate students interested in analytics can focus their studies through the NJCU School of Business program on approaches relevant to specific business disciplines like finance, marketing, logistics, and accounting.
Admission Requirements
There are certain admission requirements that students need to follow while taking the data analytics program.
A completed graduate school application and a $55 non-refundable application fee
A 1,000–2,000 word essay explaining your reasons for applying to the program, as well as how your background, skills, and goals align with it
Two letters of recommendation
A current résumé that includes your education, previous employment, engagements in the professional world, and extracurricular activities
Contact
Phone:
+1 201-200-2000, (201) 200-3409
Website:
https://www.njcu.edu/
Mail:
John F. Kennedy Blvd,
Jersey City, NJ 07305, United States
Email:
gradadmissions@njcu.edu
Rank #6. Data Analytics Courses in New Jersey
6. Rowan University (RU)
Next, in the list of data analytics courses in New Jersey, we have Rowan University. In addition to a public research university in Glassboro, New Jersey, Rowan Institution also has an academic and medical campus in Camden. Glassboro Normal School was founded there in 1923 in a 25-acre area donated by 107 people.
Course
The Rowan University Master of Science in Data Science program is designed for students who already have a Bachelor’s degree in a STEM-related field and want to expand their knowledge and career options. The curriculum gives students interested in those sectors a strong foundation in data mining, modeling, statistical analysis, and machine learning, but it also gives them the option to focus on either business data analytics or health data analytics.
Curriculum
The M.S. in Data Science program consists of 10 courses and 30 graduate semester hours in total. Part-time and full-time enrollment options are available in this program.
Foundation Course
Candidates must have completed the following courses at an accredited institution:
Calculus II
Probability and Statistical Inference for Computing Systems
Linear Algebra
Computer Science and Programming or Introduction to Object-Oriented Programming
Data Structures and Algorithms or Data Structures for Engineers
Coursework
The M.S. in Data Science program is made up of
10 courses with 30 hours of the total program semester
No Graduation / Exit / Thesis Requirements.
Foundation Courses
Admission Requirements
Below is a list of materials required to begin the program application process. Additional procedures or materials can be required for admission to the program.
Bachelor’s degree (or its equivalent) from a recognized higher education institution
Current professional resume
$65 (U.S.) application fee (not refundable)
Typewritten SOP (Students need to write according to the questions asked by them)
Two letters of recommendation
Contact
Phone:
+1 856-256-4000, 08028 • 856-256-4000
Website:
https://www.rowan.edu/
Mail:
201 Mullica Hill Rd,
Glassboro, NJ 08028, United States
Rank #7. Data Analytics Courses in New Jersey
7. Thomas Edison State University (TESU)
We have Thomas Edison State University on the list of online data analytics courses in New Jersey. It is a state university located in Trenton, New Jersey. The institution is one of New Jersey’s 11 senior public research institutions. Thomas Edison State University offers both undergraduate and graduate degrees.
Course
The Bachelor of Science degree in Data Science and Analytics program can be completed entirely online by combining online data science and analytics courses with online exams, courses, and other credit-earning possibilities from Thomas Edison State University. The credits obtained by successfully finishing the degree-required courses will satisfy the program’s field of study criteria.
Credit Distribution
The credits are distributed in the following ways.
General Education Featured Courses (46 Credits)
Intellectual and Practical Skills (15 Credits)
Civic and Global Leadership (9 Credits)
Knowledge of Human Cultures (15 Credits)
Scientific Knowledge (7 Credits)
Area of Study (42 Credits)
Core Area of Study Courses (23 Credits)
Area of Study Electives: Students select four of the following courses (12 Credits)
Electives (32 Credits)
Total credit hours are 40. For more details, visit their website.
Contact
Phone:
(609) 777-5680
Mail:
111 W State St, Trenton,
NJ 08608, United States
Website:
https://www.tesu.edu/
Rank #8. Data Analysis Courses in New Jersey
8. Rutgers University (RU)
Next, we have Rutgers University on the list of online data analytics courses in New Jersey. It is a public land-grant research university with four campuses. Under the name, Queen’s College, Rutgers was founded in 1766 and affiliated with the Dutch Reformed Church.
Data Analysis Courses in New Jersey
The professional Master Program in Data Science, which also includes the MS Program in Data Science, is offered by the Department of Statistics at Rutgers University in collaboration with the Department of Computer Science.
A 30-credit program that can be finished in three semesters of full-time study
Part-time students will be accepted for every evening course.
The program is DHS STEM-designated, allowing international students to participate in up to 36 months of practical instruction without the need for corporate sponsorship
Outcomes
A thorough understanding of the computational infrastructure and algorithmic tools required to manage, examine and make sense of uncertain and complex data
Exceptional technical proficiency in data visualization, analysis, and summarization
The communication and leadership skills necessary for successful careers as data scientists
Contact:
Mail:
110 Frelinghuysen Road
479 Hill Center, Busch Campus
Piscataway, NJ 08854
Website:
https://www.rutgers.edu/
Email:
director@stat.rutgers.edu
Rank #9. Data Analysis Courses in New Jersey
9. Seton Hall University (SHU)
Next, in the list of online data analytics courses in New Jersey, we have Seton Hall University. It is a private Catholic research university with its main campus in South Orange, New Jersey. The oldest diocesan institution in the country is called Seton Hall. It was founded in 1856 and named for Saint Elizabeth Ann Seton by the then-bishop James Roosevelt Bayley.
Data Analysis Courses in New Jersey
The MS in Business Analytics program offers excellent foundations in both business operations and data analytics (STEM MSBA). The program develops managers and executives with marketable skills. Graduates feel at ease speaking with managers just as much as they do with quantitative analysts.
The STEM classification gives an additional benefit by allowing international students to apply to extend their 12-month optional practical training (OPT) by an additional 24 months.
Pre-qualification Courses
Pre-qualification courses do not count toward graduation but are meant to help students refresh and enhance their Excel and core math skills. The MS in Business Analytics (MSBA) offers two pre-qualification courses, each of which costs $475. Each student must complete the pre-qualification which is provided online.
Curriculum
The program covers everything a business decision-maker needs to know, from using R/Python, JSON, and SQL, to examining business processes through data models, to extracting meaning from big, unstructured data.
Courses (21 Credits)
BSAN 7001: Intro to Data Analytics and Business Intelligence 3
BSAN 7031: Databases and SQL 3
BSAN 7041: Business Processes and Data Models 3
BSAN 7011: Exploratory Data Analysis and Data Visualization 3
BSAN 7021: Predictive Analytics 3
BSAN 7051: Big Data Analytics 3
BSAN 9000: Capstone Project 3
Elective Courses (9 Credits)
Approved IT or Quantitative Analysis electives 9
Total 30
Admission Requirements
There are certain materials required through the admission process.
The application form
Official Transcripts
Resume
SOP (Students have to write it based on the questions asked by them)
Application Fee
Contact
Phone:
(973) 761-9000
Mail:
400 South Orange Ave
South Orange, NJ 07079
Website:
https://www.shu.edu/
Rank #10. Data Analysis Courses in New Jersey
10. Stockton University (SU)
Next, on the list of online data analytics courses in New Jersey, we have Stockton University. It is a public university located in Galloway Township, New Jersey. It is a part of New Jersey’s public higher education system. It is named after Richard Stockton.
Data Analysis Courses in New Jersey
Students attending the Data Science and Strategic Analytics (DSSA) Program at Stockton will obtain significant experience with sophisticated, industry-standard computational software and programming tools to research data-driven themes in the humanities, social sciences, business, and/or science.
Additionally, students will learn how to analyze data, present it, and display it so they can forecast outcomes and visualize findings.
Curriculum
The Master’s degree program has 30 credits (10 graduate courses), which can be finished in one year of full-time study (or part-time study). In a year of full-time study, it might be finished (Fall, Spring, Summer). The courses are hybrid online offerings, students will meet with instructors at Stockton’s Kramer Hall Instructional Site once per week.
DSSA Curriculum – 30 credits
All courses are for 3 graduate credits.
FALL
DSSA 5001 An introduction to analytics and data science
DSSA 5101 Data Exploration
DSSA 5102 Data gathering and warehousing
SPRING
DSSA 5103 Data Visualization
DSSA 5104 Deep Learning
DSSA 5201 Machine Learning
SUMMER I
DSSA 5202 Data Entrepreneurship
DSSA 5203 Data Stewardship
SUMMER II
DSSA 5301 Communicating Data Stories
DSSA 5302 Data Practicum
Prerequisite Requirements
A baccalaureate degree from a regionally accredited college or university
A minimum 3.0 undergraduate GPA is required, with an overall average of at least 3.2 in all quantitative courses
There are certain materials the students need to submit for admission purposes.
Application fee: $50 (non-refundable) submitted with your online application
3 letters of recommendation
Official transcripts
Resume
Students whose second language is English must take the TOEFL exam
And some other materials which you can find on their website.
Contact
Phone:
(609) 652-1776
Mail:
101 Vera King Farris Drive
Galloway, NJ 08205-9441
Website:
https://stockton.edu/
Rank #11. Data Analytics Courses in New Jersey
11. Saint Peter’s University (SPU)
Lastly, in the list of online data analytics courses in New Jersey, we have Saint Peter’s University. It is a private Jesuit institution located in Jersey City, New Jersey. It was founded in 1872 as Saint Peter’s College by the Society of Jesus. The institution offers more than 60 undergraduate and graduate programs to its more than 2,600 undergraduate and 800 graduate students.
Data Analysis Courses in New Jersey
The Master of Science in Business Analytics program is developed for managers and professionals who are already working in the field and want to improve their subject-matter expertise, data analysis skills, and capacity to use and monetize data in operational processes and business decisions to meet customer demands.
The curriculum provides a unique combination of skills and knowledge for managers. Among the topics covered are finance, strategic management, and advanced data analysis and visualization.
Key Highlights
Master of Science in Business Analytics degree awarded
Location: Jersey City Campus, Online/Hybrid
Duration: 30 Credits. A full‐time student taking 30 credits/year should complete in 18 months (Part-time: 15 credits/year in 21 months).
Trimester (11 weeks)
Some hybrid/online courses are available.
Contact
Phone:
(888)-772-9933
Mail:
2641 John F. Kennedy Boulevard
Jersey City, NJ 07306
FAQs
Q1. Does the Data Analyst need coding?
Coding skills are not generally required for positions in data analysis, but some data analysts do have to do it daily. Although simple data analysis tasks, like interpreting, can be carried out without writing code, the emergence of big data has increased the technical complexity of the role of the data analyst, making coding much more likely to be required.
Q2. How much does data analytics cost?
The investment is totally up to you. The spending should be between 2-6% of your data analytics budget. The majority of organizations allocate 2 to 6 percent of their total expenses which include tools, salaries, and services to data analytics.
Q3. How much data is needed for statistical analysis?
It takes at least 30 observations to do meaningful statistical analyses. This can be interpreted in a variety of ways, with the most fallacious one being that your confidence interval can be trusted with a sample size of 30.
Q4. Should I study Python or SQL?
If someone is sincere about starting a career as a developer, then studying SQL is a better option as it is a standard language and has an intuitive structure & programming, and coding tasks can be completed more quickly. Python, on the other hand, is for proficient coders.
Q5. Who is qualified to use data analytics?
Education and business expertise. You should have industry knowledge in the field you operate in and a degree in any relevant field. However, you can still become a data analyst if you have the requisite skill set and come from a different background.
Ever wondered how E-commerce platforms like Amazon or OTT platforms like Netflix offer you suggestions based on your view/purchase history? This is due to the collection of data and the study of user behavior which are done by business analysts. Sounds cool, right? And what if we tell you that you can also become a Business Analyst by pursuing a course in Business Analytics? And that too, in the land of the “Ascending Dragon,” i.e., Vietnam? Keep reading to know more about the various business analytics courses in Vietnam.
Table of Contents
What is Business Analytics?
The Four Types of Business Analytics
Industry Applications of Business Analytics
Use Cases of Business Analytics
Job roles in Business Analytics
Best Business Analytics Courses in Vietnam
Frequently Asked Questions
What is Business Analytics?
Before you get to know about the various kinds of business analytics courses in Vietnam, you must have a basic understanding of business analytics. To put it simply, the process of turning data into insights to enhance business decisions is known as business analytics. The insights are created from the data gathered with the help of tools related to data management, forecasting simulation, data mining, predictive modeling, and optimization.
Although statistical, operational, and quantitative analysis plays a significant role in business analytics, creating data visualizations to explain your results and influence business decisions is the end goal.
To succeed in this sector, it is crucial to possess a solid technical background along with effective communication abilities. Keep reading this article to find out about the various business analytics courses in Vietnam that you can pursue to enhance your career prospects.
The Four Types of Business Analytics
Business analytics is all about gaining insights and improving the strategic decision-making process. Businesses rely on three different forms of analytics to help them make these decisions: Descriptive Analytics, which explains the impact of what had already occurred; Diagnostic Analytics, which explains why that something had occurred; Predictive Analytics, which inform us what might happen; and Prescriptive Analytics, which inform us what ought to occur going forward.
Descriptive Analytics:
This type of analytics is concerned with representing what happened in the past. It analyses the historical data of a business using two main techniques – data mining and data aggregation. Although descriptive analysis can provide insightful information on its own via visual data representations like pie charts, line charts, and bar charts, it often serves as the groundwork for future analysis.
Any conclusions from descriptive analytics should be clear enough for the general corporate audience to understand because it employs relatively straightforward analysis methodologies.
Hence, in many firms, descriptive analytics are the foundation of everyday reports. Some examples of descriptive analysis are Annual Revenue reports, Google Analytics tool, and Social Media, all of which provide data that can be aggregated easily to give a comprehensive picture of a business’s operations.
Diagnostic Analytics:
One of the four major types of analytics used to determine the causes of past events is diagnostic analytics. Drill-down, data mining, data discovery, and correlations are some of the strategies that define it. Diagnostic analytics examines data to understand the primary causes of the incidents.
It helps in determining the factors and circumstances that contributed to a particular result. For the analysis, likelihoods, probabilities, and the distribution of outcomes are typically used. It provides thorough insights into a particular problem for which a business must have access to comprehensive data.
Predictive Analytics:
Predictive Analytics is a more sophisticated form of data analysis that uses probabilities to predict what might happen in the future for a company/business. Prescriptive analytics uses data mining, just like descriptive analytics, but it also employs machine learning techniques and statistical modeling to determine the likelihood of future outcomes based on prior data.
Machine learning algorithms use the data that is already available to make predictions by making the most accurate assumptions to fill in the gaps. The solutions to challenges and growth opportunities of a company can then be found using these projections.
For instance, businesses are using predictive analytics to optimize marketing campaigns by spotting cross-selling opportunities, preventing fraud by looking for behavioral patterns among criminals, and lowering risk by identifying which customers are most likely to fall behind on payments based on past behavior.
Deep learning is a subset of predictive analytics that imitates human decision-making to provide even more accurate predictions. For instance, deep learning is being utilized in the medical industry to classify digital medical pictures like MRI scans and X-rays to produce an automated forecast for doctors to use in making patient diagnoses.
Prescriptive Analytics:
Prescriptive analytics identifies the optimum course of action for businesses using statistical methods drawn from mathematics and computer science. Despite being closely related to both predictive and descriptive analytics, prescriptive analytics emphasizes practical insights rather than data monitoring.
This is accomplished by compiling information from a variety of predictive and descriptive sources and using it to inform decision-making. Then, algorithms construct and recreate potential choice patterns that might have diverse effects on an organization. Prescriptive analytics can assess the effects of a choice based on several future possibilities and then suggest the best course of action to pursue to meet a company’s objectives.
The use of prescriptive analytics has great business advantages. It enables teams to see the best course of action before making decisions, saving time and money and assuring the best results possible. An example of the usage of this analytics is in healthcare where decision-makers use prescriptive analytics to improve business results by suggesting the best course of action for patients and providers.
Industry Application of Business Analytics
As can be inferred from the above information, business analytics can be applied through various industries for various purposes. For example, Credit card companies can gather data about a user’s purchase history, financial situation, demographics, behavior trends, and lifestyle habits for various purposes such as detecting potential credit risks, personalizing loan packages for each user, preventing identity theft, etc.
CRM systems examine significant performance metrics, including demographics, purchasing trends, socioeconomic data, and lifestyle, to improve customer relations and retain customer loyalty. By poring over data that describes high-performing individuals, such as educational background, attrition rate, the average length of employment, etc., business analysts aid the process of hiring in companies and assist HR by predicting the ideal matches between the firm and candidates using this data.
In some instances, the information can even assist in predicting employment requirements before a position is posted. Furthermore, business analysts use data to explain to stakeholders how certain factors affect the operations of a company. Companies can streamline inventory management, hazards, and supply-chain management to achieve optimum efficiency by identifying factors like equipment downtime, maintenance expenses, and inventory levels.
They also aid with marketing by optimizing advertising campaigns, devising strategies for social media penetration, identifying viewer likes/dislikes, etc by evaluating marketing and advertising indicators, determining consumer behavior and the target demographic, and examining market trends.
Business Analytics help in churn prevention. Churn is a measure of how many subscribers or customers discontinue doing business with a company or their rate of attrition. Low churn rates are essential for profitable businesses, as is the replacement of any lost clients. The cost of acquiring new clients is also higher than the cost of keeping the ones you already have. A business analyst can help detect dissatisfaction of customers and the most likely risks or departures by employing predictive analysis.
Business Analytics aids in the personalization of e-commerce. To personalize their consumers’ buying experiences, online retailers like Amazon collect, handle, and analyze customer data. Vendors can provide suggestions and boost the possibility of more sales by personalizing the experience.
Equipment maintenance, both planned and unexpected, is inevitable for businesses. Business analysts use data to build metrics regarding maintenance lifecycles to forecast upcoming maintenance requirements and prevent expensive unplanned downtime.
Business Analytics helps in detecting insurance fraud. For both businesses and their clients, insurance fraud is expensive. In the US, fraud costs businesses in the medical insurance sector $68 billion a year, which is especially true. Big data processing by business analysts allows investigators to spot and stop any fraudulent behavior by processing billions of billings and claim records.
Job Roles in Business Analytics
Before exploring the best business analytics courses in Vietnam, let us give you a brief overview of the kind of job roles that exist in the field of business analytics. Since the field of business analytics is not yet saturated, you have plenty of options to choose from.
You can become a Data Scientist (who uses software technologies such as Python, SQL, and SAS) to qualitatively interpret data, a data analyst who analyses data to address specific business roadblocks, a or data engineer who creates, upgrades, maintains and assesses the data infrastructure to make sure it can support algorithms developed by the data scientists.
The database administrator oversees the proper use and functioning of enterprise databases and the backup and restoration of essential data, and the data architect is in charge of drafting the blueprints for data management, which enables the centralized, integrated, and safe use of databases.
These are just some of the roles available in the fastest-growing job field of business analytics. To meet the requirements of the job that you are interested in, you need to pick the right course for it. The following section is our top picks for business analytics courses in Vietnam. Go through it carefully and visit the respective websites of the respective institutions to know more and make your decision.
Best Business Analytics Courses in Vietnam
To help you kickstart your career in the field of business analytics, here is a comprehensive list of the Best Business Analytics Courses in Vietnam:
1. ExcelR
ExcelR is a pioneer training institute that offers 75+ technical and management training courses in more than 40 countries. The Certified Business Analytics course that they offer is in partnership with IBM, an American MNC tech giant.
According to their website, their Business Analytics course can be taken up by professionals/freshers from any field who have good logical and analytical skills, graduates from any field of commerce, science and engineering, accounting and finance professionals, management professionals, and KPO and BPO professionals, as they can consider making a logical move to the field of business analytics to enhance their careers.
The course curriculum of ExcelR is a precise match with the market requirements and it consists of topics like Business Statistics, Power BI, SAS, Excel (Basics to Advanced), MySQL, Tableau, R Basics, Agile, Python Basics, etc. Enrolled students will have a blended mode of learning with access to both live and recorded sessions.
They will have assignments and chances to work on live projects to enhance their learning experience and give them a practical application of their course syllabus.
Apart from this, those who enroll in this course will also get post-training support till they master the concepts and will get end-to-end placement assistance with mock interviews, building resumes, etc and they will receive internship offers through the placement cell of ExcelR. For fee structure and other details related to the business analytics courses in Vietnam that they offer, visit their official website.
If you want to do short-term business analytics courses in Vietnam, NobleProg is one of the best choices. NobleProg, a Poland-based training, and consultancy firm with branches all over the world offer some of the best business analytics courses in Vietnam, both onsite or online sessions through remote desktops, and these are led live by qualified instructors.
Their courses are offered at Ly Thai To, Hanoi, Saigon Tower, and Saigon Centre Tower 1, Ho Chi Minh City, and also through Robotic Process Automation (RPA) at Saigon Centre Tower 1.
Their range of courses in Business Analytics includes Adobe Analytics Training Course, MATLAB for Prescriptive Analytics Training course, MATLAB for Predictive Analytics Training Course, From Data to Decision with Big Data and Predictive Analytics Training Course, AWS QuickSight Training Course, and more which will help you to gain a better understanding and hands-on training in the field of business analytics.
To know more about the vast range of courses that they offer for Business Analytics, visit the official website of NobleProg Vietnam.
3. UpGrad
upGrad is an Indian higher EdTech firm that offers online courses and higher education programs for students across 100+ countries. Accredited by the Institute of Analytics (IOA), this education company has helped over 2 million learners to upskill themselves. The Business Analytics Certification Program offered by UpGrad is considered to be one of India’s best-selling programs with a 4.5 rating.
The course provides 100+ hours of learning with 3+ case studies and projects, a personalized learning platform, and live sessions with experts in the industry. Moreover, they offer an AI-powered Profile builder and an Exclusive Job Opportunities Portal that enables learners to make a smooth career transition into the field of Business Analytics.
Student Support is available 24×7 on all days of the week for timely resolution of the doubts and concerns of the enrolled students. Some of the leading topics covered in this course are Statistics and Optimization, Business Problem Solving, Predictive Analytics and Modelling, Excel, etc. To learn more about UpGrad’s Business Analytics Certificate Course, visit their official website.
4. Coursera
Coursera is an American-based open online course portal that offers over 5000 online degrees, courses, and certifications in partnership with leading universities and other relevant organizations. This portal offers several courses in Business Analytics in partnership with top-class global universities.
Some of their courses include Business Analytics Specialization offered by Wharton (University of Pennsylvania), Duke University’s Excel to MySQL: Analytic Techniques for Business Specialization, University of Colorado’s Advanced Business Analytics Specialization, and Strategic Business Analytics Specialization offered by Essec Business School.
Each course is specially designed to serve students based on their expertise level. For more details, visit the official website of Coursera and browse the course of your choice in the field of Business Analytics.
5. edX
EdX is also an American open online course portal that offers a multitude of online courses in a vast range of disciplines, in partnership with more than 160 top global universities and with over 500,000 global learners. Some of the courses in Business Analytics that they offer include Business Analytics Fundamentals offered by Babson College, Business Analytics Micromasters Certificate Course by Columbia University, and Boston University’s Business Analytics for Data-Driven Decision Making.
Some of these courses even offer you certain credits for master’s programs in the respective course universities (like Columbia University). To enroll in this course, visit the official website of edX.
Now that you have a basic understanding of what is business analytics, the various job roles in the field, and the various business analytics courses, choose the most appropriate course for you and apply now!
Frequently Asked Questions
Q1: Is Business Analytics a good career?
Business analytics is a very good career with great scope. Almost every company and business hire business analysts to improve and optimize their operations and hence this sector witnesses a huge growth in the job market and is an in-demand job. It also acts as a springboard to other rewarding careers in the fields of project management, business architecture, strategy, and program management.
Q2: Is Business Analyst an IT job?
Unless a business analyst chooses to concentrate on the information technology sector, a business analyst role is not an IT career. IT business analyst would then be the title. Business analysts in other industries will be expected to have some familiarity with IT and other important business applications that will help improve workflow. You may have a look at the various business analytics courses offered in Vietnam that we have mentioned above to get a general idea about the various industries that use business analytics.
Q3: What are the eligibility criteria for a Business Analyst?
To work as an entry-level business analyst, you typically need to have a bachelor’s degree. A job in business analytics at the management level or higher may require you to complete an advanced degree. A master’s degree, which is necessary for business analytics or business administration, could help your business analyst credentials stand out in a crowded industry.
Additional skills include knowledge of Microsoft Excel, SQL, and programming languages like R, and Python and good analytical, negotiation, and communication skills. If you wish to expand your business analytics and learn courses in Vietnam, we suggest you opt for any of the above-mentioned business analytics courses, depending on your skill set and skill gaps.
Q4: What is the salary of a Business Analyst?
In the US, a business analyst gets an average income of 68,346 USD per year. In India, it is 7 lakh rupees per year. In the UK, it is 40,000 GBP per year and in Australia, it is 90,000 AUD. In Vietnam, the average salary is 20,800,000 VND per year. To enhance your business analytics skills, and that too in Vietnam, you can opt for any of the business analytics courses that we have mentioned above.
Q5: Are business analytics and data analytics the same?
Data analytics is the process of examining databases to find insights and trends which are then applied to decision-making within organizations. Business analytics is concerned with examining various forms of data to create useful, data-driven business choices and then putting those conclusions into practice. Insights from data analysis are frequently used in business analytics to pinpoint issues and come up with remedies.
Data is an asset for every organization as it helps to identify problems, provide solutions, make confident business decisions, analyze trends, increase sales, and grow the overall business when handled effectively. It necessitates the demand for data professionals and opens the door to more data-driven jobs with high salaries and promising careers. Data Analytics and Data Science are two domains in the data world. Both are connected to one another in numerous ways and are the primary paths to kick-start a career in the data field.
On an outlook, they appear similar, yet they are different, and each has its pros and cons. If you wish to become a data analyst or a data scientist and establish yourself in the data world, this article is for you. Read the article to get more insights about the key points to consider in deciding between Data Analytics and Data Science careers.
Data Analytics is a subset of data science that processes and analyzes a large amount of data to give meaningful insights and solutions for organizational problems. It begins with data collection, cleaning, statistical data analysis, interpretation, and sharing of results. The outcomes of data analytics are reliable and exhibit immediate progress in the business.
Data Analytics has four levels of analytics listed below.
Descriptive Analytics – It gives insights based on historical business data about market trends and patterns.
Diagnostic Analytics – This level is to identify the root cause of events that halt the growth of a business.
Predictive Analytics – This level uses statistics to predict the future of any business
Prescriptive Analytics – It analyzes past data and makes proposals to proceed further in the industry.
Data Science is the umbrella term that includes data analytics along with data engineering, data mining, and other related disciplines. It deals with large volumes of data using machine-learning algorithms or predictive modeling processes to give valuable insights. Data Science is constantly changing and developing. However, Data science relies on the following concepts, which are the pillars of data science.
Domain Knowledge – This indicates the knowledge about the business, product, or service and its customer base.
Math & Statistic Skills – These skills are necessary to analyze and interpret data to get insights and valuable solutions.
Computer Science – Computer science is the foundation for all the other pillars of data science. It gives the algorithms, software, and systems to collect and interpret data.
Communication and Visualization – Communication is essential to share the results visually with graphs, charts, and diagrams.
10 Key Points To Choose Between Data Analytics and Data Science
1. Scope
As we know, Data Science is a broad field with different disciplines like machine learning, statistics, and programming, whereas Analytics is a subset of data science. Data science has more scope compared to data analytics. Moreover, data science is a research-oriented field, while analytics is a practical-oriented one.
Data scientists work on large data sets to give new conclusions and better tools for analyzing data. Data Analytics is a more focused domain in which data analysts work on the same data sets to offer actionable insights to the organization. Data Science does not give answers to any specific question.
Instead, it guides the organization with the insight to frame the questions needed for the business to grow. Data Analytics always works with questions in hand. Data Analysts work to discover the answers to the questions asked.
If you are interested in a more practical-oriented job, you can choose data analytics. Most data scientists start their work as data analysts and then upgrade themselves.
2. Data Types in Data Analytics and Data Science
Data Science handles structured and unstructured data, while data analytics deals only with structured data. Unstructured data has no specific format. It represents the bulk of business data in its native form with no predefined model and is not stored in a structured database.
Unstructured data is collected, stored, and managed quickly. It includes images, videos, emails, social media posts, reports, web pages, and presentations. Specialized tools like NLP and data science experts are mandatory for analyzing unstructured data.
Structured data is well-organized data with a persistent order and conforms to a predefined model. It includes data generated at colleges, universities, banks, companies, etc., and is stored using SQL, MySQL, Oracle DB, and SQLite. It can be handled by data scientists as well as data analysts.
As unstructured data is in its native form and supports massive storage, the importance of unstructured data is increasing. Many businesses prefer this data type for their data management as it gives a deeper understanding of customer behavior. This increases the demand for data scientists compared to data analysts.
Both need knowledge of statistics to analyze data. Statistics is the basis of machine learning algorithms to capture data patterns and translate them into meaningful insights. It also helps with data preprocessing and feature engineering.
Statistics aids data scientists and analysts in visualizing numbers to figure out the trends in quantitative data. Statistics are mathematical analyses of big data and are broadly classified into two types.
1. Descriptive Statistics – Summary Statistics
This type gives an overview of an organization’s data. It helps to review and summarize data understandably. It does not provide insights into decision-making and the growth of a business.
2. Inferential Statistics
This type of statistics interprets data, identifies patterns, and helps to build predictions for decision-making. It suggests valuable insights to achieve organizational success.
Statistical skills help data scientists and analysts confirm the validity of the analysis and also to avoid logical errors. The level of expertise in statistics may vary depending on the job role and the data handled. However, Statistical skills are mandatory for data scientists and analysts. If you are not comfortable and confident in statistics, then it is of no meaning to pursue a career in the data field.
Looking for the best practical-oriented courses to become a professional data analyst? Check here the top-ranked:
Both Data Analytics and Data Science require programming skills to clean, process, and transform raw data into valuable insights. A data scientist with programming skills or a software background is a more relevant candidate. Their expertise in software makes them not depend on other outside resources.
Advanced object-oriented programming is the most important skill needed by data scientists as they have to handle large data sets, write SQL queries to a database, understand black box tools, and do data cleaning. A Data Analyst also needs programming skills but only a basic level of expertise is sufficient.
The main responsibilities of a data analyst are focused on data crafting and presenting. However, practicing analyzing tools and algorithms, requires programming skills. This skill can also help them to perform advanced data analysis without the support of a programming expert. Moreover, programming expertise is very much needed for data analysts who aspire to be data scientists in the future.
5. Coding Languages
Data Analysis uses coding languages like Python and R for data analysis. Recruiters expect expertise in any one of the two languages even from an entry-level data analyst. Python is a general-purpose language, which is predominantly preferred for data analysis in the business world.
R is a language for data analysis and visualization. It is mostly preferred by academia for research and the finance industry. In addition, data analysts also require knowledge of SQL, RDBMS, and Oracle to extract data from databases and perform data wrangling and presentation.
Data Science uses advanced object-oriented programming languages like C++, Java, Javascript, SAS (Statistical Analysis Stem), and Scala. However, Python is the preferred language, as it easily integrates with SQL and TensorFlow.
The coding language is selected based on the data set provided by the industry. For example, in the retail sector, python is preferred to build trust by providing valuable suggestions to customers. IoT applications prefer languages like C and C++.
So, to kick start a career in data analytics and data science, knowledge in any one of the above-mentioned programming languages is mandatory. Online certification in any one of the coding languages will make you shine from your competitors.
6. Career Growth
In the digital era, data is everywhere, and every business, regardless of its size, searches for people who can handle data effectively and devise constructive ways to develop the company. Data Analytics and Data Science are two different career paths in the data field.
When you choose Data Analytics, you start your career as an entry-level analyst in any industry and after a few years, you can become a specialist in that industry and can take up roles like financial analyst, health analyst, and so on. Moving on the ladder, you can expect yourself to be a senior analyst or an analyst manager in the data industry.
You also have the opportunity to move to the data science field with strong expertise in data analytics. A Data Scientist with more than three years of experience can become a senior data scientist with a reasonable salary and later on, with further experience and expertise can be the director of analytics.
Data Analysts are responsible for analyzing data using statistical tools and converting raw data into information, information into valuable insights, and insights into progressive business decisions. Their day-to-day duties cover the following.
Data interpretation, statistical analysis of interpreted data, and provision of ongoing reports
Create and deploy databases, data collection methods, data analytics, and other measures to improve statistical accuracy and efficiency.
Maintain databases and data systems and gather data from primary or secondary sources.
Finding, analyzing, and interpreting patterns or trends in large, complicated data sets
Review computer outputs, printouts, and performance indicators to clean and filter data, and find and fix coding issues.
Prioritize business and information needs in collaboration with management
Discover possibilities for process improvement
Data Scientist
Data Scientists handle large amounts of structured and unstructured data to trace patterns and trends to offer business insights and predict the future growth of the business.
Find useful data sources and automate the processes for gathering them
Create machine learning algorithms and predictive models.
Combine various models.
Using data visualization approaches presents information.
Build strategies and solutions for organizational problems.
Work along with the product development team.
It is evident from the job descriptions that, Data science is for persons with a passion for research while data analytics is for people who like to work for practical business.
8. Additional Job Roles
Data is the lifeblood of any business in today’s digital world as it gives tremendous growth and profit. An ocean of opportunities is there for an expert data professional. All businesses are recruiting data analysts and scientists. Besides data analyst and scientist, there are few other job roles available for data professionals.
Additional Job roles
Business Intelligence Analyst – Analyzes the company’s data to extract valuable insights for the successful growth of the business.
Data Engineer – Focuses on large data sets to optimize database formats and data collection processes.
Quantitative Analyst – Analyzes data of financial organizations to propose investment plans.
Data Analytics Consultant – It is similar to data analysis but for different businesses over a short duration. It is more like a freelancing job.
Operations Analyst – Focuses on internal business processes like product manufacturing and distribution.
Marketing Analyst – Work along with marketing professionals to help improve the results of campaigns and in turn sales of the company.
IT Systems Analyst – Analyse data and propose plans to address issues in information technology.
Additional Job roles
Data Architect – Design the process and flow of data management. They create new databases or enhance existing databases.
Machine Learning Engineer – develop machine learning models, algorithms, and systems to process organizational data.
Database Administrator – Maintains the organization’s database and ensures safe data storage with data recovery solutions.
Clinical Data Managers – Analyze data collected for clinical research and predict the future of the medical industry.
9. Salary in the Field
Domain
Job Role
Average Salary
Data Science
Data Scientist
10-12 LPA
Data Architect
13-15 LPA
Machine Learning Engineer
8-10 LPA
Database Administrator
13-15 LPA
Clinical Data Managers
6-8 LPA
Data Analytics
Data Analyst
3-5 LPA
Business Intelligence Analyst
4-6 LPA
Data Engineer
8-10 LPA
Quantitative Analyst
2-4 LPA
Data Consultant
10-12 LPA
Operations Analyst
5-7 LPA
Marketing Analyst
8-10 LPA
IT Systems Analyst
7-10 LPA
The salaries given are average values and may vary with your expertise, experience, and the size and reputation of the organization you work for. All the job roles provide a handsome salary.
10. Courses
Data Analytics
As we have seen in the above key points, the following skills are required to become a data analyst
Mathematics and Statistical Skills
Basic level programming skills in any one programming language like Python or R.
SQL
Microsoft Excel
Data Visualization
Critical thinking
Presentation skills
To acquire the above skills, you can enroll in an online course from a renowned institution. Most of the courses come with the following modules in the curriculum.
Business Statistics
Advanced Excel
SQL
Tools – Tableau and BI
Python Basics
Anyone with a graduate degree can pursue an analytics course. It costs around 10,000 INR to earn a short-term certification course.
Data Scientist
The skills required for a data scientist are listed below,
Statistical skills
Advanced programming skills
Machine Learning
Problem-solving skills
Data Analysis
You can develop the above skills by completing an online short-term certification course with the following modules.
Mathematics
Probability and Statistics
Data Visualization and Analysis Tools
Machine Learning
Programming with Python
Anyone with a graduate degree with a STEM background (Science, Technology, Engineering, and Mathematics) is eligible for a data science course. The curriculum, duration, and fees rely on the level of the course. Depending on your requirements and budget, you can do a short-term certification course, diploma course, undergraduate course, or postgraduate course.
Frequently Asked Questions
1. Which is easy data analytics or data science?
Both are comfortable for persons who love to work with numbers. Interest in mathematics, statistics, and programming makes it easy to learn. Data Science requires a depth of knowledge in machine learning and advanced object-oriented programming. So Data Science looks not as easy as data analytics. But given the time, effort, and patience, you can easily learn it. Initially, you can get analytics skills, start as a data analyst, and then upgrade your programming and machine learning skills to become a data scientist.
2. Which pays more?
Any profession related to the data world fetches an average salary of 4 Lakhs per Annum at the entry-level. Data Analyst at the front level earns an average of 2 lakhs per annum and it reaches 12 lakhs per annum within a span of 5 years of expertise in the same industry. In contrast, a data scientist at the initial stage of their career gets up to 3.5 lakhs per annum, and around 8 years of dedication in the industry can earn him 26 lakhs per annum. It is clear that data science pays better than data analytics.
3. Is Python enough for Data Science?
Python is a high-level language predominantly used in data science. It is feasible to work in the data science field with proficient knowledge of Python. However, in addition it, expertise in SQL, statistics, mathematics, critical thinking, and great communication skills to interact with all departments of a business are essential to secure a job in data science. Besides, other programming languages like R, C, C++, JAVA, and JavaScript are also desired, based on the industry standard to progress in the data science career.
4. How long does it take to learn Data Analytics?
Most institutions promise to offer courses in 3 to 6 months. But practically it is very hard to learn all the modules from statistics to programming, all in one within a short span. Short-term certification courses can be completed in 3 months but only the basic knowledge of the domain can be gained.
To acquire expertness and master the field a graduate or post-graduate course with a duration of around 1 year is necessary. The post-graduate courses offered by renowned universities just don’t teach you the knowledge but give hands-on training in handling data via real-time projects with the aid of their industry partners.
5. Is a job in data science stressful?
Many data analysts and data scientists all over the world feel data science is a stressful job due to factors like continuous learning, no help of textbook knowledge, just a degree or course is not enough, doing difficult tasks on your own, relationships with professionals from multiple departments and a keen interest in the business. Nevertheless, no job is stressful when you love the job. It relies fully on the person’s passion for the job.
Conclusion
Every year the demand for data science professionals increases. From business analyst to Data Engineer, to data architect and machine learning engineer, the opportunities are endless in the data field. This growth is expected to continue in the next decade too. The platforms to learn these courses are also enormous.
From online to offline institutions, from short-term certification to post-graduate level courses, from project training to internship, a lot of gateways are open to enter the data world. Despite that, a massive gap exists between the demand and supply of professionals with the right skills. A proper understanding of the field and being a leader in the skills needed for the profession can open your doors to the data world. All the Best.
How much can you keep up with the rapid introduction of new technology and trends? The answer is simple, as much as possible if you wish to stay relevant. The same technology blesses us with simple solutions as well, all you need to know is how and where to look for the right data and this is where Business analytics trends come in. Business analytics is a rapidly evolving field, that enables companies or organizations to stay up-to-date on the latest trends in order to make informed decisions and stay competitive. And this is exactly what we have brought for you today, the trends. So read along and stay germane.
What is Business Analytics?
Business analytics is the use of data, statistical algorithms, and other analytical tools to understand and improve business performance. This includes a wide range of activities and technologies that are used to collect, process, and analyze data to gain insights and support decision-making.
The specific components of business analytics can vary depending on the organization and the types of data being analyzed. The use of analytics can help businesses make more informed decisions, identify new opportunities, and mitigate risks.
Benefits of Business Analytics
Business analytics and understanding of business analytics trends help in many ways and make decision-making for future endeavors pretty simple. Let’s have a look at some of the benefits:
Improved decision-making: By analyzing data, businesses can make more informed decisions that are based on facts rather than intuition or guesswork.
Increased efficiency: Analytics can help businesses identify inefficiencies and areas for improvement in their operations, leading to cost savings and increased productivity.
Better customer understanding: Analytics can provide insights into customer behavior and preferences, allowing businesses to tailor their products and services to better meet the needs of their target market.
Enhanced competitiveness: By using analytics to gain a deeper understanding of their industry and competitors, businesses can make strategic decisions that give them a competitive edge.
Risk management: Analytics can help businesses identify and assess potential risks, allowing them to develop strategies to mitigate or avoid those risks.
Improved financial performance: By using analytics to track key performance indicators and make data-driven decisions, businesses can improve their financial performance and achieve their goals.
Better communication: Analytics make it easy to communicate the data and insights to other stakeholders in a meaningful way.
Overall, business analytics help companies make data-driven decisions, identify new opportunities, and optimize their operations to improve overall performance and achieve their business objectives.
Industries That Can Use Business Analytics Trends
Almost every business can benefit from this technology since it enables organizations to make data-driven choices and enhance operations. Knowing the trends for the new year can give you an edge. The following are some instances of industries that frequently employ business analytics:
Finance: Financial institutions use business analytics to track financial data, such as revenue and expenses, and to identify trends in customer behavior. This can help them to identify new opportunities for growth and to detect potential risks, not to mention increase security.
Retail: Retailers need real-time data analysis. They can use business analytics to track sales data, customer behavior, and inventory levels, which can help them optimize store layouts, product displays, and pricing strategies.
Healthcare: Healthcare providers use business analytics to track patient data, such as diagnoses and treatment outcomes, and to identify trends in patient behavior. This can help them to improve patient outcomes at reduced costs.
Manufacturing: Manufacturers use business analytics to track production data, such as equipment performance and inventory levels, and to identify trends in production efficiency. The right implementation of business analytics trends can help them to improve production processes, reduce downtime, and lower costs.
Telecommunications: Telecommunications companies use business analytics to track customer usage data, such as call and data usage, and to identify trends in customer behavior. This can help them to optimize their network infrastructure, improve customer service, and develop new products and services.
Business Analytics Trends
Having discussed Business analytics, it’s time to move on to our discussion on the top trends for the year. The following is the list.
1. Increased Adoption of Artificial Intelligence and Machine Learning
One of the most significant trends in business analytics is the increasing use of artificial intelligence (AI) and machine learning (ML). Despite all the apprehension, AI and ML are making a huge impact in every field including business. These technologies are already being used to automate repetitive tasks, such as data entry and analysis, and it is expected that they will become even more prevalent in the coming years.
Companies will increasingly use AI and ML to gain insights from large data sets, which will help them make more informed decisions and improve their operations. AI and ML can be used to automate and improve many business processes, such as predictive modeling, automation, customer service, fraud detection, and optimizing operations.
By leveraging these technologies, companies can gain valuable insights and make more informed decisions, improve efficiency, and gain a competitive advantage.
2. Rise of the Internet of Things (IoT)
The Internet of Things (IoT) is another technology that is expected to have a major impact on business analytics. Let us quickly try to understand IoT. The Internet of Things (IoT) refers to the growing network of physical devices, vehicles, buildings, and other items that are embedded with sensors, software, and connectivity, which enables them to collect and exchange data.
These devices are connected to the internet and can communicate with other devices and systems, allowing for the automation of various processes and the ability to remotely monitor and control them.
With smartphones in every hand and smart devices at every home, companies can now have access to a vast amount of data that can be used to gain insights into customer behavior and optimize operations. This data is going to be used to improve customer experiences and drive business growth in the coming years.
3. Greater Emphasis on Real-time Analytics
Another trend that is expected to gain traction in 2023 is the use of real-time analytics. Real-time analysis, also known as real-time analytics, refers to the process of analyzing data as it is generated, rather than waiting for it to be collected and processed.
The real-time analysis enables organizations to make more timely decisions and respond quickly to changes in the market. This type of analytics allows companies to analyze data as it is generated, rather than waiting for it to be collected and processed.
This enables companies to make more timely decisions and respond quickly to changes in the market One example of real-time analysis is in the case of a retail store, where real-time analytics can be used to track customer behavior and adjust inventory in real-time.
By monitoring data on customer purchases, store traffic, and other factors, retailers can quickly identify which products are selling well and which are not, and adjust their inventory accordingly. Real-time analytics is definitely going to be one of the top business analytics trends.
4. Greater Use of Predictive Analytics
This technology is already being used by companies to predict customer behavior and forecast demand, and it is expected to become even more prevalent in the coming years.
Predictive analysis can be used in a wide range of business applications to gain insights and make more informed decisions. By leveraging predictive analysis, companies can improve efficiency, reduce costs, identify new opportunities, and mitigate risks. Businesses and companies will use predictive analytics to make better decisions, identify new opportunities, and mitigate risks.
5. Use of Natural Language Processing (NLP)
Natural Language Processing (NLP) is a branch of artificial intelligence (AI) that enables computers to understand and interpret human language. This technology can be used to analyze and extract insights from unstructured data, such as text and speech, which can help businesses gain a deeper understanding of customer sentiment and preferences.
NLP can be used to create chatbots and virtual assistants that can understand and respond to customer queries in natural language. It can also be used to analyze speech, such as phone calls and voice recordings, to extract information and identify patterns.
It can also classify text into different categories, such as spam or non-spam emails, or negative or positive sentiment, and translate text into different languages, which can be useful for companies that operate in multiple countries or want to expand to new markets. NLP is futuristic and going to be one of the very useful trends.
Cloud-based analytics is another trend that is expected to gain traction in 2023. This type of analytics allows companies to access data and run analytical models from anywhere, at any time. The cloud-based analytics also allows for scalability, this means companies only pay for the resources they use, which can be a cost-effective solution for companies of all sizes.
Hosting business intelligence analytics within a cloud computing source network is a lifesaver for multiple businesses at present and the trend seems to grow rapidly. Platforms for analytics are partially or entirely hosted in the cloud. They are particularly advantageous for sales data, marketing data, and even financial and HR data.
7. Data Governance
Data Governance is a set of policies, standards, and procedures that organizations use to manage the availability, usability, integrity, and security of their data. It is an important aspect of the field of business analytics. Data Governance in business refers to the overall management of the availability, usability, integrity, and security of the data used in an organization.
It involves creating policies and procedures for collecting, storing, protecting, and using data, as well as assigning responsibilities for enforcing those policies and procedures. The goal of data governance is to ensure that data is accurate, consistent, and accessible to those who need it, while also protecting it from unauthorized access or misuse.
With the increasing amount of data being collected and stored, companies will need to implement data governance practices to ensure that the data is accurate, secure, and compliant with relevant regulations.
8. Video analytics
Video analytics is the process of extracting insights from video data, such as facial recognition, object detection, and tracking, and predicted business analytics trends. This uses technology to analyze video footage in order to extract useful information, such as identifying patterns and detecting unusual activity.
In business, video analytics can be used in a variety of ways to improve operations and security, for example- Surveillance, in Transportation, Retail, and Manufacturing industries, etc. This technology can be used to improve security, optimize operations, and gain insights into customer behavior.
How to Hire a Business Analyst?
By now it is transpicuous that hiring a business analyst is a must to grow your business. So, we are here to help you on the hiring front. Hiring any employee takes a lot of time and resources, this is no different. Following are some of the steps you can follow to find the right candidate for yourself:
1. Identify Your Requirements
It is crucial to figure out your needs. Ask yourself the following questions:
What kind of help does your organization require and can afford at this point?
Do you need one-time advice or constant support?
You require a business analyst for which front of business; finance, IT, etc.
What goal are you looking to accomplish with help of your business analyst?
How long do you need the services?
Do you need a full-time or part-time employee?
2. Learn About The Different Types of Business Analyst
The business analyst can be categorized into various types based on their specialization which are listed below:
Business analyst manager:
Data business analyst
IT business analyst
Quantitative business analyst
3. Start Networking
Networking is the best way to find the most suitable employee. You can use one or more of the following:
Professional social media platforms like LinkedIn
Run a placement drive at colleges/Universities
Post your job online
Ask your professional friends
4. Create an Excellent Job Description
If you wish to hire the best, make sure your JD is at par. You always hire the best content writers. Make sure your JD has all the essential keywords like SAP, SQL, Business analyst, Business analyst remote, Data analyst, Analyst, Business, etc. Post your JD at job portals like Indeed, Naukri, etc. As soon as you post, the applications will come pouring in.
5. Shortlist and Interview
Shortlist your candidate and prepare for the interview. Have your questions ready beforehand and ask the right questions based on your requirements. Research about latest trends so you can make a better decision.
Bonus: Free Tools for Business Analytics
Did you think I will leave you just here? Before you make your final decision on whether to hire someone for business analytics, you can use these free tools to do it for free. However, it is important to understand that free tools have some limitations. Nonetheless, here is a list of some free tools that you can use:
Google Analytics: A web analytics service that tracks and reports website traffic. It can be used to track the performance of a website, including the number of visitors, the pages they visit, and how they interact with the site.
OpenRefine: A tool for cleaning and transforming data. It can be used to correct errors, standardize formats, and merge data from multiple sources.
R: A programming language and software environment for statistical computing and graphics. It can be used to perform a wide range of data analysis tasks, including statistical modeling and machine learning.
KNIME: An open-source data integration, transformation, and analysis platform. It allows users to visually create data workflows and can be used for tasks such as data mining and text mining.
Tableau Public: A data visualization tool that can be used to create interactive charts, maps, and dashboards. It can be used to explore and communicate data insights.
Microsoft Excel: A widely used spreadsheet software that can be used to organize, analyze, and visualize data. It offers a wide range of built-in functions and tools for data analysis, including pivot tables and charts.
IBM Watson Studio: A cloud-based platform for data science and AI that offers a variety of tools for data preparation, modeling, and visualization.
Google Sheets: A free web-based spreadsheet software that can be used to create and edit spreadsheets, charts, and more. It can also be used to analyze data, create pivot tables and charts, and collaborate with others.
Things You Need to Understand and Use These Tools Effectively
Although these tools are available for free, it takes a certain skill set to use these tools effectively. So here are a few things you need to use efficiently.
Data: This is the raw material that you will use to perform your analysis. The data may come from a variety of sources, such as spreadsheets, databases, or web analytics platforms.
Business questions: Having a clear idea of what you want to learn from your data will help you focus your analysis and ensure that you are using the right tools for the job.
Metrics: These are the measurements or indicators that you will use to evaluate your data. Examples include website traffic, conversion rates, and customer satisfaction scores.
Context: Understanding the context in which your data was collected, such as the time period, location, or industry, can help you interpret the results of your analysis.
Understanding of the tool: Familiarise yourself with the features and capabilities of the tool you are using. Learn how to use the tool’s features, such as importing data, creating charts and tables, and generating reports.
Analytical skills: Having a good understanding of statistical concepts and analytical methods can help you make sense of your data and extract insights.
Data Cleaning and Preprocessing: Before you can analyze your data, you need to clean and prepare it. This process involves removing errors, missing values, outliers, and duplicate data and transforming the data into a format that can be easily analyzed.
Communication skills: Being able to communicate the insights and recommendations from your analysis to others in a clear and effective way is crucial. This involves creating clear data visualizations, writing clear and concise reports, and being able to explain complex concepts in simple terms.
Frequently Asked Questions (FAQs)
1. What are the future trends in data analysis?
Answer: There are several trends in business that are expected to continue to gain momentum in the future. Some of the most notable include:
Artificial Intelligence
Digital Transformation:
Remote Work and Virtual Collaboration
Sustainability
2. What are the top 5 business trends today?
Answer: At present following business trends are making waves:
Digital Transformation
Artificial Intelligence and Machine Learning
Remote work and Virtual Collaboration
Business Analytics
3. What are the four pillars of business analytics?
Answer: Business analytics can be understood at four levels which are also called four pillars. They are listed below:
Descriptive analytics.
Diagnostic analytics.
Predictive analytics.
Prescriptive analytics
Conclusion
In conclusion, business analytics is a rapidly evolving field, and it is important for companies to stay up-to-date on the latest trends in order to make informed decisions and stay competitive. The trends discussed in this article, such as the increased adoption of AI and ML, real-time analytics, IoT, predictive analytics, cloud-based analytics, data governance, NLP, and video analytics are expected to shape the industry.
These trends will help companies to gain insights from large data sets, make more informed decisions, improve operations, enhance customer experiences, and drive business growth. Companies that are able to effectively leverage these trends will be well-positioned for success in the coming years. It’s also important to note that this is not an exhaustive list and there could be other trends that emerge in the coming year. It’s essential for businesses to stay updated with the latest developments in the field and adapt their strategies accordingly.
Are you looking for the best digital marketing courses in Doha? Before getting started, let me ask you something. When was the last time you read a newspaper to keep yourself updated about the latest news? Or when was the last time you ended up buying something looking at a sales brochure or newspaper ad? Well, a long back, is it? Thanks to the internet, which made consumption of content and making the decision very easier at our fingertips. Everything you see today on the internet is nothing but digital marketing.
With an immense increase in the demand for digital marketing professionals, small companies to large corporations are looking to grab the opportunity to hire the best professionals. In this article, we will discuss digital marketing in great detail. What is digital marketing? Why choose digital marketing? And also some best Digital marketing courses in Doha.
What is Digital Marketing?
Digital marketing in simple words is marketing being done digitally through various digital channels. The digital channels include social media platforms like Instagram, Facebook, Youtube, etc., along with emails, blogs, and search engines like google, yahoo, etc.,
Unlike the traditional marketing approach, digital marketing is very customer centric which will help the organization to build trust and help them understand the needs of the customer and cater accordingly. Targeted reach on the other hand helps us organizations to clearly distinguish the prospects and focus on converting the sales rather than hitting a stone in the dark.
Since the cost of delivery is really low, digital marketing is proven to be less expensive and more effective as a way to market your products or services. Along with all these benefits, digital marketing has a greater reach compared to any other traditional marketing which is confined to a single area/country.
What Are the Different Types of Digital Marketing?
There are different forms of digital marketing which we will discuss in detail. All of us have probably been the prospect of digital marketing through the Ads we get on YouTube, Facebook posts by a celebrity, an Instagram reel/post by an influencer, google search results, emails in our inbox, the text message on our phones, random online ads popped on your screen while surfing. Everything has been divided into different categories, below are a few types of digital marketing:
1. Content Marketing:
Everything you see on the internet including this article is content. This also includes other forms such as sharing a video, infographics explanation, blogs, social media posts, and hashtags. A recent development in content marketing is the podcast which is making a greater impact as well. To list down a few examples:
Blogs or Articles
Sponsored videos.
Podcasts
Infographics
E-book
2. SEO (Search Engine Optimization)
When we search anything on the internet, we generally check the first few results which are shown on the results by search engines like google. Do you remember scrolling to the second page of the results? No, right? So, SEO is a technique to optimize your content as per the search engine and use the keywords to rank yourself on the top of the search results.
Though, you can place the Ad of your website on the top of the page which can cost a lot. The other way of organically placing your website on the top is by using techniques like SEO.
3. Social Media
A typical internet user logs in for 6 hours, and 53 minutes every day on social media platforms. A staggering 93% of marketers use social media for business. These figures will tell you the impact of social media on marketing. With a growth in the influence culture, people seem to be trusting someone whom they admire or follow and make a decision to purchase relying on the feedback they have found on the social media platforms.
Think of the last time when you bought a product by looking at an influencer using/recommending based on their purchase or clicking on the ad that had popped out on your feeds based on your search results. This is one of the most effective and most used ways to market.
4. Email Marketing
Do you remember receiving an email about a launch of a new product from the same company where you made a purchase last year? Though we have discussed a lot of different and effective platforms, email is still relevant even in today’s world.
Over the past year, email interaction has increased, according to 77% of marketers which clearly indicates that email marketing is more effective in the current world too. Businesses use email marketing to retain customers, announce the launch of new products, payment collection, etc.,
5. Affiliate Marketing
This type of marketing involves using independent influencers or websites or blogs to promote products/services. A reward will be passed on to every successful purchase or subscription. Amazon affiliate is a great example of such marketing where an influencer suggests you on his video/blogs to buy a product that you were looking for using their promo code.
The Rewards Will Be Given to the Affiliates Based in Various Ways Like:
Subscriptions
Sales
Views/Clicks
Sign-ups
6. Pay Per Click
Have you ever noticed that when you have a plan to buy any product and you have made a search for the same on the search engine and automatically the ads related to this product pops-out on the website/blogs while you are surfing something else?
In contrast to affiliate marketing, Pay Per Click or PPC is a way to enable the user to visit your site/product and eventually convert the sale. The one running such ads on the website will pay per every click (for the owner of the site). These are usually used to grab the attention and showcase any ongoing offers.
7. Mobile Marketing
The last way of digital marketing is mobile marketing which involves sending promotional SMS on WhatsApp/number, push notifications of the applications, newsletters, etc.,
Is Digital Marketing a Good Career Choice?
According to Statista, a staggering 19.7% of sales are happening online (e-commerce) and the number is expected to reach 24% by the end of 2026. With an increase in online sales and engagement, a digital marketing career is going to be one of the prominent job options in the modern world. We will try to look at a few points which could be an X-factor in choosing a digital marketing career.
1. No College Degree
The digital marketing career is a recent development that dates back to 1-2 decades after the e-commerce boom. Though there are many colleges offering digital marketing certification, having a fixed curriculum for the course is close to impossible as there are new developments happening every day.
Think, Instagram is 12 years old, and today most of the engagement happens on this platform. The career is mostly based on skills, understanding of new developments, and planning the engagement to increase traffic/sales. You can learn these skills with a basic understanding of the internet and there isn’t any requirement for a college degree.
2. Demand
As we have discussed earlier, the demand for digital marketers is going to be higher down the line. Artificial intelligence may be a threat in upcoming times, but this is applicable across all industries. According to the reports, the pay scale for the average digital marketer will grow 10% from 2020-2030 which is more than the normal average across all industries. This directly implies that the demand will remain in the industry.
3. Job Satisfaction
As we are moving towards becoming a very competitive world, mental health is going to be one of the major challenges the world will face in the future. Since we are slowly moving towards the skill-based approach to acquiring jobs rather than degrees, anyone can easily acquire a skill and get a job of his/her choice.
It becomes very important to enjoy what you are doing. According to a survey, a staggering 70% of marketing managers are happy with the job they are doing. These numbers clearly indicate job satisfaction and people willing to stick on to whatever they are doing.
4. Flexibility
Earlier in the article, we discussed the various types of digital marketing. Due to its multidimensional approach, you can choose any type based on your convenience. If you are someone who likes working on social media but wants to shift to content marketing, you can easily make a switch.
5. Salary
One of the most important aspects to check while choosing a career in any industry is to know the average pay scale. An inflated pay-scale number or low pay scale is something that needs to be avoided. Anything which is close to average or above is a great choice.
A digital marketer on average earns 76k $ every year. This could be a really great number to get started for someone without prior experience or a college degree.
6. Freelancing
Now that we have discussed in great detail what digital marketing is and why digital marketing can be a good career option. It is time to discuss the most important thing that you are here for top Digital Marketing Courses in Doha.
What Are the Best Digital Marketing Courses in Doha
Now that we have discussed in great detail what digital marketing is and why digital marketing can be a good career option. It is time to discuss the most important thing that you are here for top Digital Marketing Courses in Doha.
Fortunately, you can choose the best courses online and get a certification to start your career without prior experience. But remember just acquiring a certification wouldn’t get you a job, you might need to go through an internship and get hands-on experience. Now, let’s look at the top Digital Marketing Courses in Doha.
1. IIM SKILLS
IIM SKILLS is one of the prominent and well-known online learning platforms known for Digital Marketing Courses in Doha. The reason it tops the list is due to its well-experienced tutors which are industry experts as well. The courses are designed for working professionals and new fresh graduates.
The Digital Marketing Course is one of their well-known courses. Through the 40 modules and 120+ hours of practical exercises in this course, you will learn every facet of digital marketing.
IIDE is one of the top institutions for Digital Marketing Courses in Doha. The institution has trained more than 2.5 lakh students across various countries including the USA, UK, UAE, and Canada. IIDE is altering how pupils are taught nowadays. It is known as the cutting-edge method of education.
They have an excellent approach to teaching. In contrast to learning through PPTs these days, the team follows a real-time approach to teaching students. They favor material that is individualized, condensed, and applicable to the actual world.
Models Covered:
Optimization for search engines (SEO)
Content Promotion
Use of social media
Indian Digital Scenario
Analytics on the Web, Influencer Marketing
Management of brand perception
Media Strategy
Google Play Optimization (ASO)
AD Psychology
Website development and planning
Hard Skills
Internet Marketing
Innovative Approach
Email Promotion
Designing for Copy: Essentials
How to make money from your blog: Google Ads for Search Engine Marketing (SEM)
Future-Proof Content Strategy
Curriculum Highlights:
Mastery of 20+ Industry Tools
More than 40 Hours of Video Learning
70+ Hours of Live Instruction
13 and up certifications
One-on-one coaching
Projects for 8 brands
100% placement support
Around 250 Hiring Partners
Seven Modular Tasks
1 Super Session for the Final Project
Option for 0% EMI
Study with the pros
A live Q&A
Level: Beginner and Advanced
Contact Details:
Phone Number: +91 96199 58615
Email ID: admissions@iide.co
3. Excellence Training Centre
Over 13,000 students have received training from Qatar’s Excellence Training Center over the course of the past 10 years in a range of subjects. Additionally, there are more than 200 distinct courses available. It finds a place in Digital Marketing Courses in Doha due to its experience in the field.
Models Covered:
Foundational Marketing Course Syllabus
Foundation for Digital Marketing
Content Promotion
Optimization for search engines (SEO)
Ads by Google (Google Search Ads)
Ads by Google (Google Display Ads)
Use of social media
Facebook Advertising & Marketing
Instagram Advertising & Marketing
Marketing and advertising on LinkedIn
Marketing via email works.
Analytical and Measuring
Strategy for Digital Marketing
Tools for Digital and Social Media Marketing
Curriculum Highlights:
Directors of Experienced Courses with Certification
sessions that focus on discussion
Case studies and success tales of several regional and international brands
Course Length and Cost
The Doha digital marketing programs last for two months.
One of the top training organizations in the world is called ExecuTrain, which offers the best Digital Marketing Courses in Doha. The Institute is a franchise partner in the Middle East and collaborates with a number of foreign trainers. Also, finds its place in one of the top Digital Marketing Courses in Doha.
Through the digital marketing course, you learn how to effectively use digital marketing strategies to generate income. The course will go into great detail on subjects including digital marketing software, effective media techniques, resource management, and internet marketing.
Models Covered:
Introduction To Market Research in the Course Syllabus
Set Up an Email Marketing Campaign
Search engine optimization, or SEO
Video Marketing
Social Media Marketing
Twitter Promotion
using Google Adwords
Internet Analytics
Course Length and Cost
20 hours of instruction, including theoretical classes, are included in the QAR 3,000 one-on-one training for digital marketing.
Curriculum Highlights:
Curriculum Highlights
One-to-One Training
Certificate of Completion of Theory Classes
Level: Beginner
Contact Details:
Email: info@executrain.com.qa
5. Omni Academy
The renowned Training and Consulting company OMNI ACADEMY provides one of the best Digital Marketing Courses in Doha. The institute is using its technology to help the students become job-ready and help them get started in a digital marketing career. They are dedicated to offering consumers a remarkable level of assistance and support, enabling them to overcome the problems of contemporary business expansion.
They increase human potential, confidence, and student engagement by providing superior services for understanding, obtaining, and extending Digital Marketing expertise. It finds a place in top Digital marketing courses in Doha due to its wider reach and experience.
Models Covered:
Overview of Digital Marketing
Customers’ Journey
Use of social media
Optimization for search engines
Paid search, content marketing, and Google Display Network
video marketing on YouTube
Marketing with Google Analytics Email
Strategies for Online Marketing
Curriculum Highlights:
Flexible class times
Unlimited Learning – FREE Workshops Flexible Class Schedule Online Classes for Students from Outside the City/Country
Available Internships
Free videos and practice tests for the courses
Level: Beginner
Contact Details:
Phone: 1800-212-2120
Email: info@omni-academy.com
FAQs on Digital Marketing Courses in Doha
Q1. Is there any entry-level restriction to joining digital marketing courses in Doha?
There isn’t any restriction for anyone to join the courses. As we discussed earlier, this doesn’t require any college degree or professional experience. You need to pick the digital marketing courses from the above list based on your convenience.
Q2. Do I need to have the degree/prerequisite to take up the course?
You don’t have any degree or any other skills to start your course as most of them are beginner-level courses.
Q3. What is the average salary I can expect?
While discussing the advantages of digital marketing as a career. We have given an average salary figure but this could be someone who is well experienced. It is strongly recommended to take up the internship at any organization (with/without the stipend). This will help you have a better experience and be job ready.
Q4. How long will it take to start my career in digital marketing?
An average of 3-6 months is required to start your career in digital marketing including the internship if taken up.
Conclusion:
We have already discussed enough details about digital marketing as a career. It is always smart to ride the wave when it is available. With an immense increase in online activity, there is no looking back for digital marketing as an industry for at least a few more decades. If you are someone who was skeptical about this industry or wanted to start your career, the above discussion should convince you and help you make the decision you were procrastinating.
There will always be a threat to any industry in a different way. Artificial intelligence may pose a greater threat to any industry including digital marketing where machines are doing the job of human beings but we are far away from replacing human beings for decision-making tasks.
Post the exit of the United Kingdom from the EU, Dublin is in the process of becoming the next big place in the financial market. There are already huge financial giants who have been operating in Dublin. The city has been showing improvements year after year and is now listed among the top 30 financial centers in the World after Luxemburg, Geneva, and Paris. That said, professional financial modeling courses in Dublin are highly recommended. This article about the financial modeling courses in Dublin is a beginner’s guide. Must read if you are looking to gain knowledge in this extremely demanding skill of financial modeling.
Financial Modeling
Financial Modeling is one of the most vital tools for decision-making in any enterprise. It not only decides a company’s future performance but also anticipates and analyses the data and makes necessary changes in an enterprise.
That said, anything related to the future prediction of a company is related to finance, unlike accounting which analyzes the data of the past performance of the company.
It is a process for estimating the company’s future by analyzing and predicting the outcome and possibilities of a company involving future events. This article will give you a brief overview of some of the best places to learn Financial modeling Courses in Dublin and various opportunities involved in different places.
In layman’s language, assume you plan to do a task and decide to reach your goal in a certain period. You will have to plan your method, finances, and the process through which you would like to do the task.
Yet, you might face some uncertainties during your course of action that you were not prepared for, and you must plan an alternative to complete the task. In case an enterprise reaches its goal, it has to plan and predict the future of its business.
A greater risk will always need a bigger preparation. By and large this process of planning and anticipating is known as financial modeling which is done by preparing the future financial statements by the Financial Modular of a company.
Unlike balance sheets and profit & loss statements, there are very few examples of Financial Models available in an open domain because these are related to the company’s internal database of sales projections and investments which all the companies refrain from publishing.
Most of the financial modelers are employed in sections like Investment Banking, Retail Banking, Equity Research, Project Management, Corporate Finance, Insurance, and also in government sectors.
The demand for a Financial Modular has been increasing day by day. Different companies have started understanding that a Financial Modular will have a significant role to play in a company’s growth and it will help them solve complicated problems related to the future growth of a company.
To fulfill this increasing demand, one needs to gain expertise in this business.
A lot of Financial Modeler have started coming from Accounting and Engineering backgrounds, this is because a lot of modelers need to have a good grip on accounting formulas and basic financial concepts, yet those without a formal accounting background can also learn Financial Modeling if they are ready to hustle a little bit.
There are tools like Oracle Essbase and SAS Financial Management available to prepare a Financial Model but over a while; MS Excel and Spreadsheet have become more prominent in making a Financial Model.
There are different tools to forecast a business and, an income statement is one of them. It is also called a three-statement model where three income statements are forecasted. The Financial analyst carries out this task for various purposes such as capital raising and making business decisions.
Fund Rising
Be it an early-stage start-up or an established business, a company needs to raise funds for the expansion of its business. Having said that this process of fundraising always has to be data-driven. This data of sales forecast cash flow statements are managed by a financial modeler. And as a result, this process helps an investor to invest and have a long-term goal.
A process of collecting information and financial data to create a company goal is management accounting. It uses accounting information like buying products, services, and raw materials which helps in decision-making for the company, forecasting the future, and evaluating and forecasting the cash flow. The Management accounting process is the first step to generating a financial model for a company or an enterprise.
Financial Performance
The performance of a company is determined by the asset, liability revenue, and prospective growth of the company. It is carried out by a financial modeler to check where the company is standing in terms of its growth and position and predict the prospects.
Roadmap
A financial roadmap is an analysis done by the financial modeler to determine the future aspects of where the company would stand in its growth. A proper financial road map is the pillar of a company’s growth process, based on which the decision maker analyzes the risk and takes a decision. A financial model is the most important tool used by companies and a lot of important decisions are based on a financial analysis of a company.
Before you sign up for the financial modeling courses in Dublin, let us understand the Job prospects of a financial Modeler. Some of the opportunities for you after finishing Financial modeling courses in Dublin are:
Investment Banking Analyst
Credit Analyst
Equity Research Analyst
Private Equity Analyst
Financial Planner and Analyst
Corporate Development Analyst
The Job varies from profile to profile, and a Financial Modeler works with the decision-makers of the company and predicts the company’s profitability on products and services.
They are experts who check and analyze the market. A financial modeler tracks the market and plays a vital role in raising capital from the market for the expansion and growth of an enterprise.
For instance, an Equity research analyst works with the Finance team of an enterprise to generate a financial report for a market. They do extensive research on the equity and the stock market and help the investors decide on predicting prospective business opportunities.
They contribute to the surveys about the market and the target customer’s outcomes. In the financial modeling courses in Dublin, you will get to learn all the nuances of an analyst.
A Modeler has a pay scale that ranges from nothing less than 30,000 Euros to 70,000 Euros per year depending on the years of experience.
A financial model type is defined by the event that you are trying to define. You will cover all the different models while you sign up for the financial modeling courses in Dublin. Let us look at the different types of financial models,
Three Statement Model
It is the integrated or a combined form of financial statement designed based on the cash flow, income statement, and balance sheet of the company. It is the base of any financial model and all three statements are combined and integrated into a single layout, giving a complete picture of a company projection. It is done in an Excel format.
DCF – Discounted Cash Flow
The DCF (Discounted cash flow) model is the most used model by any organization. It works in the principle of Time Value of Money (TVM). A financial modeler through this model tries to predict the future outcome of the money invested today in the market.
LBM – Leveraged Buyout Model
This tool is built in Excel to understand the transaction. It is used by an equity analyst when a company acquires another company for various reasons, using sources like finance loans rather than the money generated from its business.
M&A – Merger & Acquisition
An M&A (Merger & Acquisition) is used to determine the performance of a company after a company acquires another company and it is determined by the EPS (Earnings per share of the company).
This model is used in a group of companies where the valuation is not possible through a single valuation technique like DCF. Different parts of a group company are valued and they are summed up or integrated to arrive at a single value.
Consolidation Model
The Consolidation Model is quite like the Sum-of-the-Parts model, however, in this model, many business units’ valuations are summed up together to come to a single conclusion.
Budget Model
This model is used by the financial planner to arrive at a monthly budget for an enterprise to run its operations. It consists of monthly assumptions. This model can roll forward which means as the actual results come; a new column of the forecast is added.
Forecasting Model
This model is used by the planner to forecast the upcoming results of company performance. It is the model used in monthly cash flow forecasting and builds assumptions. This allows you to give your point of view and recommendation to the executive members of the company.
Option Pricing Model
There are two types in the Option pricing model the Binomial Tree & the Black-Scholes. This model is completely based on mathematical formulas used in different financial instruments. ‘The Binomial Tree’ is a lengthy and time-consuming process compared to the Black-Scholes however both models are equally used extensively. It is used in predicting the premium price of the option.
Initial Public Offering (IPO) Model
This is the model where a finance Modeler creates a face value of the company before going into public to raise funds. An IPO‘s results are based on the other model’s valuation. It is the process to decide what price and quantity of shares, the company has to offer.
Things to Know Before You Start Financial Modeling Courses in Dublin
A job in finance is considered competitive and a course like financial modeling will always work as a key highlighter to the HR Manager of a company. Dublin is one of the growing markets as a global fintech hub currently.
According to a news article in The Irish Times, Ireland is close to securing the top 20 positions as the global financial hub in the coming years. Some of the companies operating in Dublin are as follows.
Bank of America
Jp Morgan
Deutsche Bank
BNY Mellon
Mastercard
Bank of Ireland
HSBC
Wells Fargo
Barclays
Fiserv
Northern Trust
Fitch
Mazars
ESB
Deloitte
The list is long and the opportunities are very high. If you are ready to sign up for intensive finance training and learn the latest tools and techniques from the below-mentioned institutes for financial modeling courses in Dublin, you are sure to upgrade yourself get to the edge, and succeed.
Some of the best e-learning platforms have come up with these wide-ranging financial modeling courses in Dublin as a result of the growing demand for analysts and specialists in the financial sector.
A self-speed learning experience will not only give you an edge in this competitive market but will also keep you up to date on the latest tools and techniques used in different categories of companies in the world market today. Let’s look at some of the best in this business.
6 Best Institutes for Financial Modeling Courses in Dublin
1. IIM SKILLS
Currently, the market leader in microlearning, IIM SKILLS is one of the top online education providers. Since 2015, IIM SKILLS has trained 15,000+ individuals across the world. IIM SKILLS has a dedicated placement cell and offers 100% placement.
The course is completely practical and a mock interview session is conducted post-completion of the course.
This course will not only help you to develop and analyze a financial model but it will also help you to upscale your knowledge and stay focused and competitive in the market.
Wall Street Prep is an online training provider for finance professionals. It not only focuses on training individuals on the foundation and different techniques in developing a financial model but it will also help you develop a three-step model using historical data and assumptions.
The course will give a brief introduction to the formation of different models.
Course Curriculum
Basic to Advanced Excel training
Training and developing 3 Statement model using historical data
Financial modeling best practices
Model Formation
Forecasting income statement model
Case Studies
Key Highlights
‘On the Job’ training
Unlimited Online support
Private Online Training (Extra)
Duration of the Course – 10 hours 29 mins
Rating – 4.9 /5
Fees – $ 199
3. Udemy
Udemy is a popular platform to learn. Udemy offers you a range of different courses at a very reasonable price. The course will introduce you to very significant valuation techniques like the DCF model in detail.
Any working individual who is looking to have a career change in financial modeling can join this course. The course is quick and easy to understand and it comes in pre-recorded version.
Course Curriculum
Basic to advanced Excel
Discount Cash Flow
Relative Valuation and Financial Modeling
Key Highlights
Duration – 31.5 hours
Lifetime access to Video Lecture
Average Rating – 4.3/5
Fees – 549 INR
4. EY
Ernst & Young also known as EY is one of the leading financial institutions in the world today. The e-learning platform of E&Y offers finance-related programs for skill development. Financial Modeling and Valuation is among the best courses offered by them so far.
It will give you a brief understanding of tools like Marcos and various parts of financial statements.
Course Curriculum
Structuring and designing models
Revenue & Expense
Understanding various parts of Financial Statements
Tax calculation
Valuation and its approaches
Key Highlights
Course Duration – 36+ hours of e-learning videos
Learning Management System (LMS) access for 6 months
Doubt clarifications through email
Online Assignments
Course Fee: 10,000 INR
5. Coursera
The F& QMA specialization is offered by Coursers in association with Wharton Business School, Philadelphia. You will get a good grip on the usage of MS Excel and spreadsheets which will in turn help you in understanding financial cash flow statements and analyzing them easily.
You will get a piece of extensive knowledge in understanding and developing your quantitative models. This course comes with hands-on projects to be completed to get certified upon completion.
Course Curriculum
Microsoft Excel & Corporate Finance
Regression Analysis
Probabilistic Model
Linear Programming
Key Highlights
Duration of the Course – 4 months
Rating – 4.5 /5
6. City University
This customized short course will help an individual build a solid understanding of the financial model right from the basic to the advanced level.
It will help you build a solid understanding of fundamental rules and techniques in auditing and evaluating data. You will receive knowledge in various disciplines of data formation and learn to work on historical data to forecast a business.
Course Curriculum
Financial Modeling in Excel Basic to Advance
Fundamentals of Financial Modeling
Data Formation
Data Validation.
Key Highlights
On-sight training based on a team’s need
15 full-time trainers
Accredited by international Certification bodies.
Duration of the Course – Customized
Fees: 1-day training €1,095
2-5 days training €995 per day
6+ days training €895 per day
FAQs
What are the eligibility criteria to sign up for the course?
Any business-savvy individuals who are passionate about finance and have completed graduation or post-graduation can peruse this course. You can also apply for the financial modeling courses in Dublin while you are doing your other studies.
Which are the companies I can apply to after financial modeling courses in Dublin?
Every company makes business decisions based on prospects, so every big enterprise will look for a financial modeler but most MNCs, Investment Banks, and finance companies will always look for suitable candidates.
Is it Mandatory to be from a Finance background to learn Financial Modeling?
Yes, for any aspirant who has knowledge in finance and accounts, the concept will be easy to understand and grasp. But, it is not always necessary, an aspirant who has a good hold on Excel and knows how to read a financial statement of a company, the balance sheet, or a cash flow statement can also apply for the course.
Will short-term financial modeling courses in Dublin help an individual with career growth compared to a college degree?
This course is for candidates who have completed a degree in finance. But looking at the growing market, a specialized course such as Financial Modeling will always come as a boon to an aspirant and this course will always get the resume highlighted.
What is the duration for an individual to become a professional?
The ideal duration for an individual to undergo training is 2-3 months, but it depends on every individual, if you are already from a finance background and have a piece of basic knowledge in Excel and Spreadsheet, it’s a matter of a month. If you are completely new and you are ready to hustle, with proper guidance you can be an expert by the end of the course.
Will I get an entry-level job after the completion of the course if I’m a complete fresher? If yes, which are the posts I can look at?
Yes, it is a demanding profile. After completing the financial modeling courses in Dublin, you can look at jobs like Investment banking associate, Tax advisor, Equity researcher, junior credit analyst, and many more.
Conclusion & Key Takeaway
A financial Modeler is one of the vital parts of an organization and a career as a Financial Modeler can be exceptionally rewarding. A course like the financial modeling courses in Dublin will upscale your knowledge and you can secure a position in one of the Big 4 as well. These are the tip of the iceberg and there is an endless possibility that opens up after the completion of a course.
Whether you are a graduate or a Master’s degree holder or still pursuing your education, you can enroll in the course and gain expertise and knowledge in the field of finance. Industries related to finance, Investment advisory, and financial research companies are always looking out for suitable candidates, so if you are passionate about finance and the money market, you should consider doing this course.
A successful career in investment banking requires unwavering dedication, a sharp analytical mind, and the ability to work under pressure. To help you in your journey we have given you the best investment banking interview questions and answers. We have filtered out the important investment banking interview questions to make it easier to refer to them and get an idea of how to answer them with perfection and acquire a good position at reputed banks and organizations.
Investment banking is a dynamic and ever-evolving world of finance. Aspiring for a career in investment banking is the ambition of many, people are highly drawn to it because of its stake deals, the lucrative financial rewards and to work in a highly collaborative environment and the biggest minds in the finance industry.
Investment banking is a highly competitive field with a sea of opportunities to grow. In an investment banking interview your skillset, your technical knowledge, and how you deal with practical problems are put to the test. Your passion for the work and people’s skills will be the major factors for the companies to hire you.
All of the investment banking interview questions enlisted here are not just asked to check your technical knowledge of the field but to know more about your presentation and communication skills.
The structure of investment banking interview questions often includes a set of generic interview questions, questions regarding the technical aspect, and then practical questions to analyze your logical thinking and how smart you are in applying them in your career as an investment banker.
A career in investment banking needs you to have the ability to work under pressure, The interviewer might give instances to know how well you respond to stress and pressure. The article provides you with an ultimate guide to the best investment banking interview questions to make you ace the interview effortlessly.
The first set of investment banking interview questions includes generic questions which is your chance to make an impression and sell yourself. This is where you can pull out your soft skills, public speaking, and communication skills which are integral to a good career in investment banking. Other skills which are evaluated during the interview are your analytical skills and sense of innovation.
Listed Below Are Some Important Generic Investment Banking Interview Questions
1. Walk me through your resume.
This is the first question you are going to encounter at your interview and is not part of technical investment banking interview questions. Supposing that you have built a strong resume highlighting your education, your skills, and your previous experience in the field, the interviewer through this question requires you to give a brief of your resume so that they can evaluate the way you speak, and your confidence and know more about you.
While briefing your resume make sure you talk with full confidence and energy, be passionate when you talk about yourself be crisp and clear. This is the first impression they have of you, try to make it as smooth as possible.
2. Why investment banking?
Be passionate when you answer this question. The answer must be tailored toward why you choose the field, although big paychecks are one of the reasons try not to mention. Communicate how passionate you are about the dynamicity and collaborative nature.
Make it clear that you are fit to work in a fast-paced work environment. Mention the work and dedication you have put in your past work and educational environment to learn and grow in the field. Be logical and present your ideas clearly with a natural flow.
Find here the top-ranked investment banking courses for career advancement:
This question is one of the most important questions among top investment banking interview questions the list highlights how unique you are and how you stand out from the other potential candidates.
You can stress your skills and the place you have made use of those skills. List out your achievements and convey that you are the ideal candidate as you are ready to experience the work hustle and ethics.
To answer the question of why you selected the particular bank, you must be well aware of all the information about the bank, You should thoroughly go through and study the website of the bank, their outlook, their goals, and banking strategies, this, give the interviewee a impression that you have made a good effort in understanding the bank and its policies.
Also, make follow-ups of the bank’s press releases and announcements. It would be also great if you had some social ethics and values that align with those of the companies. This is a bonus point for the company to consider you for the position
This set of investment banking interview questions is just a warm-up to know more about you in detail and to analyze the way you present and communicate and your behavior.
The Next Section Includes Technical Investment Banking Interview Questions With Their Answers.
1. What is CAPM? How to Calculate it? Explain in Detail.
CAPM stands for capital asset pricing model, it is a mathematical model, and it is a method to quantify risk, converting it into estimates of the expected return of an investment. It estimates the cost of equity in an adjective nature. The formula of The formula for the cost of equity is
CAPM analyses the relationship between the investment’s riskiness and the inherent risks in the market.
2. What does Negative Working Capital Mean?
It is when the current liabilities are more than its current assets. It is not typically regarded as a desirable thing, but it can be advantageous in certain circumstances, for some companies.
Occasionally, this means that the business can create income so quickly that it has time in between to pay its creditors and suppliers.
In essence, the business uses the money from its suppliers to fund its daily operations. But if the time taken to receive income is too high and the payables are too low, then it can pose serious issues for the organization to run properly.
3. What Are the Three Main Financial Statements? How Do They Impact Each Other? Explain.
The three main financial statements are
Income statement- Reveals company revenue and expenses to get the net income
Balance sheet – Shows companies assets liabilities and equity at the end of a period.
Cash flow statement – it pulls from both the income statement and the balance sheet. It starts by calculating the net income from the income statement and then adjusts for non-cash expenses, non-operating expenses like capital expenditures, changes in working capital, or debt repayment and issuance. Then the change in cash flow measured is reflected back on the balance sheet.
4. How is It Possible for a Company to Go Bankrupt but Still Have a Positive Net Income?
Net income is the profit the company gets after accounting for all expenses and taxes. It means the company is making more money than spending. But net income is just one aspect of financial health, having a positive net income does not necessarily mean that the company
Is in good financial health. The two other factors that impact a company in its financial health are
Debt even if the company is making a profit, it may have a high level of debt to sustain its daily operations
Poor cash flow management – Even if a company is profitable and runs smoothly, it may not be able to manage its cash flow effectively. meaning it may be spending money faster than it is earning.
These factors also play a major role in pushing a company to bankruptcy.
Ipo stands for Initial Public offering it is the process where a private company issues shares of itself to the public. It is the chance for the company to raise equity capital from public investors.
The change from a private to a public company can be an important opportunity for private investors to fully realize gains from their investment as it includes a share premium for current private investors, it also allows public investors to participate in the offering.
An IPO can be viewed as an exit strategy for the company’s founders and early investors, realizing the full profit from their private investment.
6. What is Net Working Capital?
Working capital, also called net working capital (NWC), is the difference between a company’s current assets—such as cash, accounts receivable/customers’ unpaid bills, and inventories of raw materials and finished goods—and its current liabilities, such as accounts payable and debts. it shows how easily a company can meet its current liabilities with its current assets, should it need to in an emergency.
Second, working capital can be a significant source of cash for the business in ongoing operations. High working capital isn’t always a good thing. It can also be an indication that the business has too much inventory, not investing its excess cash, or not capitalizing on low-expense debt opportunities.
7. What is EBITDA, and why are EBITDA Multiples Sometimes Preferred to P/E Ratios?
EBITDA is earnings before interest, taxes, depreciation, and amortization. EBITDA is calculated before other factors, such as interest and taxes, are considered. It also excludes depreciation and amortization, which are non-cash expenses.
Therefore, the metric can provide a clearer and crisp picture of the financial performance of a company. In some circumstances, it’s used as an alternative to net income when evaluating a company’s profitability.
Price/Earnings is a measure of the equity value of the company (not including any debt) to how much the company can make in pure profits. It’s a comparison of the relative earnings power of companies.
EBITDA is preferred by investment bankers when trying to judge the value of entire companies sold and bought. All financial obligations must be taken into account, including debt, so this is a preferred measure.
8. Which Has a Higher Cost of Capital: Debt or Equity? Why?
Equity financing has a higher cost of capital than debt financing. Debt capital is borrowed funds that must be repaid later in the future. This is any form of growth capital a company raises by means of taking out loans. These loans may be long-term or short-term
equity capital comes from funds invested by shareholders. Equity funds don’t require a business to take out debt which means there is often no need to repay it.
Legally, businesses must repay their debt before their equity and must pay dividends to shareholders before they may pay out debt. This has a few advantages. It lessens the likelihood of a debt default, potentially lowering the cost of capital.
The company’s interest payments on the debt are typically tax deductible, which lowers their cost of capital by the corporate tax rate.
9. How to Calculate Acquisition Premium?
Acquisition premium is the difference between the price paid for the target company in a merger or acquisition and the target’s assessed market value. It gives the excess amount over the fair value of all identifiable assets paid by an acquiring company.
The acquisition premium is also called goodwill and is maintained on the acquirer’s balance sheet as an intangible asset.
10. Describe the Basics of the LBO model.
The LBO model is a financial tool to evaluate the leveraged buyout. A leveraged buyout is using a significant amount of borrowed funds for the acquisition of a public or private company. A private equity firm acquires a company using debt instruments as the majority of the purchase price.
After the purchase of the company, the debt/equity ratio is generally greater than one. Paying down the outstanding debt is done with the company’s cash flow during the ownership of the company.
The overall return realized by the investors in an LBO is determined by the exit cash flow of the company, the exit multiple, and the amount of debt that has been paid off over the time period of the investment.
11. Tell Me About Major Items in Shareholder’s Equity.
Shareholders’ equity (SE) is used by investors and corporate accounting experts to assess how a firm is using and managing its initial capital as well as to estimate the company’s value.
Total corporate assets minus total corporate liabilities equals shareholders’ equity. However, this equity computation is made up of a number of elements.
12. What is WACC? How do you calculate it?
WACC is the weighted average cost of capital. It is the average rate of return a company is expected to pay to all its shareholders, including debt holders, equity shareholders, and preferred equity shareholders. WACC is also usually the discount rate used in the DCF formula.
WACC Formula = [Cost of Equity * % of Equity] + [Cost of Debt * % of Debt * (1-Tax Rate)] where E = market value of equity, D = market value of debt
13. What is DCF? What are the pros and cons of DCf?
DCF stands for the Discounted cash flow model, which shows the value of future cash flows from a company over a time period, it is used to determine if the investment is worthwhile. This is a solid anchor for valuation and pricing estimates.
Pros: The DCF is one of the most effective methods for determining a company’s valuation, provided that the WACC and growth rate assumptions are correct. It negates the influence of dominant market forces.
Cons: While market dynamics beyond the company’s control aren’t taken into account by the DCF, the forces CAN and DO readily modify a company’s valuation overnight in the actual world. Additionally, the DCF is based on a number of speculative assumptions such as (WACC, discount rate, etc.) which are purely theoretical.
These are the most important investment banking interview questions that have a high chance of being asked in an interview at reputed banks and organizations.
FAQs
What salary can I expect as an investment banker in India?
A career in the field of investment banking can be very rewarding and can give you an average of ₹17,66,877 per year, 6 lakhs per year at the junior level.
What is the educational qualification needed for an investment banker?
To get into an entry-level position you should have earned a three or four-year bachelor’s degree. You can get any of the following: a Bachelor of Commerce (B.Com.), a Bachelor of Arts (B.A.) in finance, a Bachelor of Arts (B.A.) in economics, and a Bachelor of Business Administration (BBA) in finance.
What are the working hours of an investment banker?
An investment banking career is not a nine-to-five job, an investment banker will have to work 60 to 100 hours per week
Conclusion
In conclusion, pursuing a career in investment banking is a rewarding journey that requires relentless dedication. The top investment banking interview questions we’ve explored will help you get an idea of the questions asked at the interview. While the road to becoming an investment banker is undeniably challenging, the potential rewards are equally substantial.
It’s a field where intelligence and opportunity play an equal role in determining success in the career. Your ability to navigate highly complex financial deals can have a lasting impact and reward you with a lucrative salary. As discussed above the interviewer can ask behavioral and technical investment banking interview questions. They have equal importance in the decision-making of the interviewer.
Make sure you prepare well and make yourself aware of the latest investment banking trends and news so as to be capable of answering all the questions with confidence. Although learning the above-discussed investment banking interview questions is your key to clearing the interview, it is absolutely necessary for you to have a sense of dedication and passion to reach heights in your investment banking career.
Learning Digital marketing courses in Mayapuri is a great way to advance in your career and take on new challenges if you’re feeling a little stuck in your current role or just want a change of pace. Demand for Digital marketing jobs is growing with industries becoming more aware of the advantages of using it. One of the major advantages of learning Digital marketing is that one can work in a variety of industries like education, entertainment, content marketing, email marketing, SEO, advertising, and other fields by doing Digital marketing courses in Mayapuri.
Let us have a small briefing on digital marketing before we explore the top digital marketing courses in Mayapuri.
Digital marketing is expanding at an exponential rate as more companies go online and as cutting-edge new technologies continue to be developed. Since most of our interactions and communications with brands now take place online, companies that don’t make use of digital marketing tools will inevitably fall behind.
With businesses increasingly depending on internet platforms to reach their target audience, digital marketing is an industry that is growing quickly. This growth is creating various employment opportunities.
One of the biggest benefits of digital marketing is its potential to reach a large audience. With billions of people on the internet each day, businesses can target demographics and interact with people on a personal level by utilizing a variety of digital platforms.
Learning Digital Marketing is relatively easy, and a lot of entry-level positions are available. Digital marketing also provides opportunities to work from home as a freelancer and a very competitive salary is offered in this field.
According to Statista Company report, Delhi has the highest number of internet users in India. So, Digital marketing is booming in the Delhi area, and hence learning digital marketing courses in Mayapuri is the best way to increase one’s ability to find a job.
The Key Components of Digital Marketing Are as Follows.
Search Engine Optimization (SEO) – Process of making websites rank higher in search engine result pages.
Search Engine Marketing (SEM) – Making use of paid advertisement on search engines like Google.
Content Marketing – Creating and distributing content using blogs, videos, and infographics.
Email Marketing – Sending promotions and messages using email.
Social Media Marketing – Build brand awareness using social media platforms like Facebook, Instagram Twitter
Influencer Marketing – Promote products and services using Influencers.
Affiliate Marketing – Collaborating with Affiliates to promote products for fees.
Digital Advertising – Displaying advertisements on digital platforms like websites, apps, etc.
Mobile Marketing – Developing mobile-friendly websites, and mobile apps.
Analytics and Data-driven Marketing – Using data analytic tools to analyze marketing campaigns for better returns.
Have A Look At The List Of Other Courses in Delhi:
The Top 10 Digital marketing courses in Mayapuri offered by various Digital marketing institutions are listed below. According to a Hindustan Times article, over 50% of Indians are active internet users as of 2023 and the base is expected to reach 900 million by 2025.
So, online classes are becoming popular. Hence, classroom and online learning options are included in this article. Candidates wishing to learn Digital marketing courses in Mayapuri can choose their preferred method.
Top 10 Digital Marketing Courses In Mayapuri With Placements
1. IIM SKILLS
IIM SKILLS is one of the top-notch organizations that is committed to providing affordable access to knowledge and skill development. It provides the ideal environment for people to start or advance in their professional lives.
The course curriculum is most effectively created. They are one of the world’s best Digital Marketing course providers with guaranteed internships and accredited programs and lifetime access to their educational resources.
This course will provide you with the complete skill set needed to get employed in the Digital marketing stream.
Digital Vidya offers a Certified Digital Marketing Master course, often known as the CDMM course. Throughout 44 Modules, students will study a variety of Digital Marketing methods. Depending on the significance and efficacy of each domain, this course will include varying numbers of modules. Usually, a week is needed to cover each module.
Digital Vidya has been training people since 2009, along with the requirements of learning Digital Marketing making the CDMM course one of the best courses in the industry.
Along with a certified Digital Marketing Master Course, Digital Vidya also offers many other courses like a Certified Web Analytics Master course, Certified Search Engine Optimization (SEO) Master course, etc.
Digital Vidya’s Certified Digital Marketing Master course includes guaranteed interviews, paid internships, industry expert trainers, and lifetime access to the latest content.
Year of Founding:
2009
Founders:
Pradeep Chopra and Kapil Nakra
Students Trained:
Over 1,20,000+
Clients:
Sony, CEAT, TCS, Zomato, and so forth.
Average Rating:
4.9/5 stars (80548 reviews)
Course Name:
Certified Digital Marketing Master (CDMM) Course
Prerequisites:
No prerequisites are required.
Duration of the Course:
4 – 7 Months
Modules Covered Under Digital Marketing Courses In Mayapuri:
There are 6 Core Modules and 20+ specialization modules. Core Modules are listed below.
Email Marketing
Search Engine Marketing
Social Media Marketing
Search Engine Optimization
Inbound Marketing
Web Analytics
Mode of Teaching:
Instructor-led Live practical Training Online
Price:
INR 55,000 + 18% GST onwards
A Few More List Of Courses You Should Explore in Delhi:
Digiperform has been awarded as Asia’s most trusted brand in Digital Education in 2017. The curriculum is created and maintained by a content panel of over 50 experts from the digital marketing industry and recommendations and suggestions from over 450 corporates across Asia.
To give hands-on training with a mix of practicals, research, and assignments, the curriculum was developed after assessing the employment requirements of many small and big digital marketing agencies and corporate houses.
Depending on the candidate’s preferences, availability, expertise, and professional needs, Digiperform offers a variety of digital marketing courses. Digiperform offers foundation courses, specialist courses, Master courses, and Professional courses in digital marketing. The details given below are of the foundation course.
Modules Covered Under Digital Marketing Courses In Mayapuri:
8 Modules offered are listed below.
Digital Marketing Ecosystem
Computers and Internet basics
Google workspace Mastery
SEO Core
Digital Graphics Creation
Social Media Optimization
Video Creation and Editing
Online Advertising
Mode of Teaching:
On-site training.
Price:
INR 24,750
4. NIIT Pitampura-
Digital Marketing Program with Generative AI Course:
About:
NIIT is an international skill and talent development organization. They use a deep learning teaching style to assist candidates in becoming an expert in their selected field. NIIT has 40 years of teaching experience. NIIT’s main goal is to provide learners with relevant skills and to enable and empower them.
More than 800 corporations hire from NIIT. NIIT uses a teaching approach that emphasizes the learner’s overall growth and imparts knowledge specific to the subject. NIIT’s Digital Marketing with generative AI program offers live mentor-led sessions with a project portfolio.
It helps the candidate to master in-demand skills of e-commerce, SEO, Influencer marketing, Content creation, and campaign planning integrated with Generative AI.
Year of Founding:
1981
Founders:
Rajendra Singh Pawar, Vijay K. Thandani
Students Trained:
Over 12,000+
Clients:
Accenture, Oracle, Infosys, TCS, and so forth.
Average Rating:
4.6/5 stars (2325 reviews)
Course Name:
Digital Marketing Program with generative AI
Prerequisites:
Final-year undergraduate or Graduates
Duration of the Course:
4 Months
Modules Covered Under Digital Marketing Courses In Mayapuri:
Digital Marketing Fundamentals
Boost your brand: Mastering Social Media and Influencer Marketing
Paid Social Media Marketing
The Google Advertising Ecosystem, Programming media, and CTV
Google Analytics, Campaign Management and Reporting
Email marketing and CRM.
Navigating the Amazon Ecosystem
Capstone Project
Mode of Teaching:
On-site training.
Price:
Starts from INR 65,000 + 18% GST
Check These Job-Oriented Digital Marketing Courses In Other Parts Of Delhi Near You:
Internet Marketing School offers a thorough and engaging road map to improve your career prospects in the field of digital marketing. They have a reputation for offering the students the best digital marketing courses in Mayapuri along with career placement. Internet Marketing School has gained enormous recognition for offering high-quality training and placing students in prestigious multinational corporations. The instructors are skilled mentors with years of experience in the field.
Founders:
Sanjay Singhania
Students Trained:
Over 6,490
Clients:
Ability Games, Mould Innovation, Novotus and so forth.
Average Rating:
4.7/5 stars (290+ reviews)
Course Name:
Master in Digital Marketing Course
Prerequisites:
Good communication skills and basic computer knowledge (MS Word, MS Excel, MS PowerPoint) and knowing how to surf the internet.
Google Digital Marketing & E-commerce Professional Certificate Course:
About:
They provide a range of educational learning possibilities, ranging from practical projects and classes to degree programs and credentials that are industry-ready.
Google Digital Marketing and E-commerce Professional certificate course helps the candidate to learn the fundamentals of digital marketing and skills needed for entry-level jobs.
During this course, candidates will receive professional-level training from Google and get an employer-recognized certificate from Google on course completion.
Year of Founding:
2012
Founders:
Daphne Koller and Andrew Ng
Students Trained:
Over 113 million
Clients:
P&G, Loreal, Danone, and so forth.
Average Rating:
4.8/5 stars (22,051 reviews)
Course Name:
Google Digital Marketing and E-commerce Professional Certificate
Prerequisites:
No prerequisites are required.
Duration of the Course:
6 months, 10 hrs. of study per week.
Modules Covered:
Fundamentals of Digital Marketing and E-Commerce
Attract and engage customers with Digital Marketing
From likes to lead: Interact with Customers online.
Think outside the inbox: Email marketing.
Access for success: Marketing Analytics and Measurement
Make the Sale: Build, Launch, and manage E-Commerce Stores
You can enrol for free on Coursera. The free trial lasts for 7 days. Then you need to pay between INR 4000-5000 per month.
7. Udemy-
The Complete Digital Marketing Course:
About:
Udemy is an educational company that offers an online platform for teaching and learning. By June 2023, this platform will have over 210,000 courses, 64 million students, over 75,000 teachers instructing students in around 75 languages, and over 870 million people enrolled in courses.
You can learn to grow an online business from scratch or work from home as a freelance marketer if you do this course.
Year of Founding:
2010
Founders:
Ern Bali, Gagan Biiyani and Oktay Caglar.
Students Trained:
Over 64 million
Average Rating:
4.5/5 stars (1,71,951 reviews)
Course Name:
The complete Digital Marketing Course – 12 courses in 1
Prerequisites:
No prerequisites required
Duration of the Course:
22.5 hours
Modules Covered:
Introduction
Market Research
Make a website.
Email Marketing
Copywriting
Search Engine Optimization (SEO)
YouTube Marketing
Facebook Marketing
Twitter Marketing
Quora Marketing
Mode of Teaching:
Online Self-paced
Price:
Starts from INR 15,000+
A Few Digital Marketing Courses in India Near You:
EduPristine is a leading training provider with online and classroom-based teaching across India with experience training more than 60000 students and is trusted by Fortune 500 companies.
Edupristine’s approach presents real-world problems to students, encouraging them to apply concepts learned in class and get ready to face the realities of the workplace. Additionally, EduPristine is well-known for its committed career services.
Students can take advantage of these free programs to improve their networking, negotiation, conflict resolution, and teamwork capabilities. Free soft-skills training is offered in addition to career services. It covers a variety of crucial topics, including CV writing, effective pitching techniques, interview skills, and much more.
Year of Founding:
2008
Students Trained:
Over 15,000
Clients:
Toyota, Godrej, Sony, and so forth.
Average Rating:
3.8/5 stars (500 reviews)
Course Name:
Digital Marketing Training Course
Prerequisites:
No prerequisites are required.
Duration of the Course:
12 Days.
Modules Covered:
Basics of Digital Marketing
Web Analytics
On-page SEO
Off-page SEO
PPC Marketing
Video Marketing
Social Media Marketing (Facebook and Instagram)
Content Marketing
Email Marketing
Affiliate Marketing
Lead Management and growth hacking.
Mobile marketing and project review
Mode of Teaching:
Classroom, Online Instructor-led
Price:
INR 33,000 (Classroom training with 60 hours of learning)
INR 25,000 (Online training with 48 hours of learning)
9. IElevate –
Digital Marketing Course:
About:
IElevate, a well-known digital marketing institution, was founded in 2014 and is well-known for providing excellent, reasonably priced education in addition to excellent, career-focused e-commerce and digital marketing courses.
Their courses are specifically created to provide useful industry expertise. Their instructors are authorized Amazon training partners and Microsoft Bing Accredited Professionals with a lot of experience teaching students on digital platforms. They offer lifetime access to their study portal, various practical tools, and career guidance and support.
Year of Founding:
2014
Clients:
PayTM, Tree Yogi, CaratPearl, and so forth.
Average Rating:
4.9/5 stars (121 reviews)
Course Name:
Digital Marketing Course
Prerequisites:
No prerequisites are required.
Duration of the Course:
4 Months (1-3 months of internship)
Modules Covered:
Google Tag Manager
Google Search Ads – PPC ads
Google Display Ads
Google Shopping Ads
Mobile Advertising
App Advertising
YouTube Ads
Viral Marketing
Content Marketing
Facebook Marketing
Instagram Marketing
Twitter Marketing
Mode of Teaching:
Classroom and Online Instructor-led
Price:
Starts from INR 30,000
10. SkillCircle –
Foundation in Digital Marketing Course:
About:
SkillCircle is a skill development company with a focus on encouraging self-employment. This institute offers a training program in Digital Marketing with a 100% job guarantee. The course focuses on practical skills and industry exposure. Its network of more than 100 eminent mentors serves as a facilitator to assist candidates in reaching objectives.
Both freshers and working professionals are eligible to take this course. Candidates will get hands-on experience with the most in-demand digital marketing tools in this course with industry exposure. SkillCircle provides Diploma, Master’s, and Foundation courses in digital marketing apart from a Skill degree in digital marketing. Foundation course details are given below.
Year of Founding:
2016
Founders:
Shivam Ahuja
Students Trained:
Over 50,000
Clients:
Accenture, Myntra, Microsoft, and so forth.
Average Rating:
4.5/5 stars (1099 reviews)
Course Name:
Foundation in Digital Marketing
Prerequisites:
No prerequisites are required.
Duration of the Course:
3 Months (128 hours)
Modules Covered Under Digital Marketing Courses In Mayapuri:
Introduction
Marketing Funnels
Designing Skills
Video Marketing
Blogging and Bloggers
Website Development
Building a website
Mobile Optimization
Search Engine Optimization
Google Engine Optimization
Google Business Profile Setup
Strategy
Organic
Inorganic
Google AdWords
Google Analytics
Mode of Teaching:
Classroom, Online Instructor-led
Price:
Starts from INR 35,000
FAQs
1. Can you work remotely in digital marketing jobs?
Most of the digital marketing jobs can be done online. So, a lot of companies allow their staff to work remotely.
2. What skills are needed to work in the Digital Marketing industry?
Video Marketing
Data Analysis
SEO
Social Media
Content Marketing
Email Marketing
You can acquire the digital marketing skills needed by doing Digital Marketing courses in Mayapuri.
3. Is it mandatory to have a degree to work in the Digital Marketing industry?
To build a career in the Digital Marketing industry, you don’t always need a degree. By acquiring the required knowledge and abilities, getting real-world experience, creating a compelling portfolio, keeping up with emerging trends, and networking, one can succeed in this industry.
4. Will AI replace digital marketing?
Digital marketers won’t be replaced by artificial intelligence, but it will lead to increased productivity. AI will be utilized to automate repetitive processes so that people can concentrate on their creative work.
5. How do digital marketing agencies work?
Digital marketing agencies do marketing online. The marketing can be multichannel marketing or single channel marketing depending on the digital marketing company. The channels include websites, blogs, emails, social media, YouTube, and more.
Conclusion:
Enrolling in a course on digital marketing is a wise investment for your future. A good training course in digital marketing will help you get ahead faster in your career. So, one must do proper research on which course is best suited and make sure that the course aligns with their professional objectives.
By choosing the appropriate course, one can unlock doors to exciting new job options in addition to gaining useful skills. The demand for Digital marketing courses in Mayapuri is expanding rapidly. By doing Digital marketing courses in Mayapuri, individuals can pursue a successful and promising career. Remember that the digital world is ever-changing, and success depends on staying updated.
Do you aspire to make a career in Data Analytics? Well, it’s a great choice. As businesses’ dependency on data is increasing increasingly on data to drive their decisions, the demand for skilled data analysts is also growing tremendously across diverse industries. A professional data analyst not only acquires great career opportunities but also contributes to shaping strategies and complex problem-solving roles. By enrolling in one of the best Data Analytics courses in Kuala Lumpur, you can take that first step to acquire the most essential and in-demand skills that can help you get a rewarding career.
Before we explore the top institutes offering the best Data Analytics Courses In Kuala Lumpur let us have a small run-through about data analytics.
What is Data Analytics?
The valuable process of gathering, organizing, and examining vast amounts of data to uncover patterns, trends, and useful insights is Data Analytics
As our planet heads towards digitalisation, a large amount of data is generated every second, including online shopping, social media interactions, business transactions, and health records.
These actions produce a large amount of important information, which, when analyzed properly, can help organizations make better decisions, improve product quality, identify risks, and develop more improved and customized ways to serve consumers.
You must have seen advertisements for hair care brands offering free hair tests. By clicking pictures of your scalp and answering a few questions about your lifestyle, you can determine your level of hair loss. Then, they provide a customized kit claiming to solve your hair problems.
How does this work? Of course through the study of data analytics. These companies store the data of hundreds of customers and provide you with products and solutions by matching your data with thousands of data of similar cases.
Therefore data analytics is a mix of technology, statistics, and business knowledge. A skilled data analyst uses data analytics tools like Python, SQL, and data visualization software to carry out the process of data analytics in a more easy way. To enter data accurately and provide strategic recommendations.
An individual with great critical thinking skills can make a transformative contribution in this field. you can learn more about data analytics here.
There Are Four Main Types of Data Analytics, With Different Purposes of Its Own:
Descriptive Analysis – Analyze data from the past to understand what has happened.
Diagnostic Analytics – Examines data to understand why something has happened.
Productive Analytics – Uses historical data to forecast events that will occur in the future.
Prescriptive Analysis – Suggest the best decision based on the data.
Each type of analytics serves a unique function, helping institutions maximize the prospects of their data and make informed, and impactful decisions.
Introduction to Data Analytics Courses In Kuala Lumpur
Data is exceptionally important everywhere in today’s world. Different businesses and organizations collect huge amounts of data every day. So, the requirement for a skilled, experienced, and talented professional is the need of the hour.
Here comes the study of data analytics, which equips individuals with in-demand strategies, by analyzing and interpreting data, companies can better understand their consumer needs, improve their products, and make smarter moves.
Kuala Lumpur, Malaysia’s busy Capital has an increased need for data analyst professionals. Thriving industries like healthcare and banks to retail and technology, are hiring professionals who can turn numbers into useful pieces of information.
Kuala Lumpur is a rapidly developing city as a tech and business hub in Southeast Asia. If you are passionate about learning and implementing data analytics, there are numerous Data Analytics training Institutes in Kuala Lumpur that offer diverse training programs from short boot camps to full university degrees, these programs teach significant skills like working with data, creating charts and visuals, using programming languages like Python, and even Machine Learning models.
Whether you are a beginner or a professional, this article will guide you, and help you choose the right Data Analytics Institutes in Kuala Lumpur. We will take a glance at what each course offers, the duration, and the cost of the best available Data Analytics courses in Kuala Lumpur so, that you can mark your spot in this technological field.
Below Are the Tools Used by Data Analytics Institutes in Kuala Lumpur:
Excel
SQL
Tableau
Power BI
Python
R
SAS
Apache Spark
Google Analytics
QlikView/Quik Sense
Alternyx
KNIME
Each of these tools serves unique roles in the data analytics process, enabling analysts to perform different tasks, from data cleaning to advanced machine learning and visualization.
These tools are used by numerous Data Analytics Training Programs in Kuala Lumpur.
Benefits of Data Analytics Courses in Kuala Lumpur
Below are some advantages of Data Analytics courses in Kuala Lumpur, which makes it an ideal place to grow in this thriving field.
Kuala Lumpur is a growing hub for technology and innovation in Southeast Asia. the job opportunities in this sector are booming rapidly in the fields of finance, healthcare, retail, and many more. Therefore, Kuala Lumpur is a great place to start a career in data analytics.
Kuala Lumpur provides diverse learning opportunities. It has numerous Data Analytics Institutes in Kuala Lumpur, from renowned universities to private institutions and from short boot camps to full degrees. Whether you are a beginner or a professional Kuala Lumpur has a course for students of all levels and provides a certified course that is recognized globally.
Kuala Lumpur is an ideal destination to start data analytics as it provides great competitive education at an affordable amount as compared to other developed countries. The Data Analytics Training Programs in Kuala Lumpur provide affordable education to students from all over the world seeking cost-effective data analytics courses. It also allows students from every background to form a team and work on multiple projects.
Many startups and multinational companies are fixing their roots in Kuala Lumpur. These corporations widely use the latest advanced tools and platforms like Python, SQL, R, Tableau, and Machine Learning algorithms. Moreover, the Data Analytics Institutes in Kuala Lumpur also partner up with companies providing internships to their students. So this could be a win-win situation for you, as you would get opportunities to work on real-world problems, projects, and case studies along with the latest tools and technologies opening doors to employment.
A skilled data analyst is a highly demanded profession globally. acquiring a data analytics course from Kuala Lumpur would upskill you to land lucrative job roles like Data Analyst, Business Intelligence Analyst, Data Scientist, and many more. Kuala Lumpur also arranges meet-ups and conferences that allow students to connect with industrial leaders and stay updated with the latest advancements. opening doors to great career opportunities.
Top 10 Data Analytics Courses In Kuala Lumpur With Placements
Below is a curated list of the Top 10 Data Analytics Courses in Kuala Lumpur, designed to help you build strong analytical skills and advance your career in this high-demand field.
1. IIM SKILLS
IIM SKILLS, started by Mr Vaibhav Kakkar back in 2015, is among the top Data Analytics Institutes in Kuala Lumpur. They offer thorough Data Analytics Training Programs in Kuala Lumpur for both newbies and professionals aiming to boost their careers in analytics.
The program covers the latest in analytics education, and the instructors are highly qualified to deliver a top-notch, industry-relevant curriculum. Students benefit from the LMS (learning management system) approach, which gives them lifetime access to essential books and class recordings for their studies.
The fee setup here is pretty budget-friendly compared to other schools, and students can choose a no-cost EMI plan to break down their course payments into instalments.
Plus, once you finish the course, IIM SKILLS gives you an industry-recognized certificate and hooks you up with an internship afterwards. Making it one of the best available Data Analytics Courses in Kuala Lumpur.
Tunku Abdul Rahman University provides the most renowned Data analytics courses in Kuala Lumpur. It provides the most updated industry-relevant curriculum based on emerging trends and industry standards.
The Data Analytics course in TAR(UMT) provides hands-on learning with real-world projects and case studies. Which prepares learners to work with big corporations. This course equips learners with essential skills in data management, analysis, and visualization.
Moreover, the institute has strong industry connections and global recognition. The institute offers a supportive learning environment with industry-standard Tools and techniques in data analytics. There are many Data Analytics Training Institutes in Kuala Lumpur, but If you are looking for an extensive Master’s program, this would be the right choice for you.
Course Name: Master in Data Management and Analytics
Course Duration: Full-time: 1.5 – 4 years, part-time: 2 – 6 years
Course Fee: Local students – MYR. 20,800, International students – MYR. 33,500
Course Curriculum:
Data Management for Data Analytics
Predictive Modeling
Data Visualization Techniques
Business Intelligence Information Systems
Programming for Data Analytics
Big Data Technology
Research Methods
Electives:
Project 1
Project 2
Electives
Internet of things
Advanced Cloud Computing
Text Mining and Social Media Analytics
Practical Deep Learning
Time Series and Decision Analysis
Industry Case Study for Big Data
Statistics for Decision-Making
E-Commerce
Customer Relationship Management
Web Technology for Information Systems and Analytics
The Data Analytics course provided by simpliLearn has the most detailed industry-relevant curriculum, in collaboration with IBM. Students also receive an IBM-accredited certificate which could be a great addition to your resume.
The course focuses on specializations and tools like Python, R, SQL, data visualization, productive analysis, Tableau, Excel, and Power BI. Students not only get hands-on experience but also get the chance to work on real-world projects.
SimpliLearn’s Data Analytics training programs in Kuala Lumpur provide job assistance programs that help students get noticed by top hiring companies. the program Provides career support to students like Interview preparation, portfolio building, and job placement.
You also get lifetime access to the learning content, so you can always come back and watch the recorded lectures and learning materials provided.
All these advantages of this course make it one of the best Data Analytics courses in Kuala Lumpur.
Course Duration: 11 months
Course Fee: 4885.055 MYR
Course Curriculum:
Module 1 – Business Analytics with Excel
Lesson 1 – Introduction to Business Analytics
Lesson 2 – Formatting conditional formatting and important functions
Lesson 3 – Analyzing data with pivot tables
Lesson 4 – Dashboarding
Lesson 5 – Business Analytics with Excel
Lesson 6 – Data Analytics using the statistics
Lesson 7 – Power BI
Module 2 – SQL Certification Course
Lesson 1 – Fundamental SQL Statements
Lesson 2 – Restore and Backup
Lesson 3 – Selection Commands: Filtering
Lesson 4 – Selection Commands: Ordering
Lesson 5 – Alias
Lesson 6 – Aggregate Commands
Lesson 7 – Group by Commands
Lesson 8 – Conditional Statement
Lesson 9 – Joins
Lesson 10 – Subqueries
Lesson 11 – Views and Index
Lesson 12 – String Functions
Lesson 13 – Mathematical Functions
Lesson 14 – Date and Time Functions
Lesson 15 – Pattern(String) Matching
Lesson 16 – User Access Control Functions
Module 3 – Programming Basics and Data Analytics with Python
Lesson 1 – Course Introduction
Lesson 2 – Python Environment Setup and Essentials
Lesson 3 – Python Programming Fundamentals
Lesson 4 – Data Analytics Overview
Lesson 5 – Statistical Computing
Lesson 6 – Mathematical Computing using NumPY
Lesson 7 – Data Manipulation with Pandas
Lesson 8 – Data Visualisation with Python
Lesson 9 – Introduction to Model Building
Module 4 – R Programming for Data Science
Lesson 1 – R Basics
Lesson 2 – Data Structures in R
Lesson 3 – R Programming Fundamentals
Lesson 4 – Working with Data in R
Lesson 5 – Strings and Dates in R
Module 5 – Data Analytics with R
Lesson 1 – Introduction to Business Analytics
Lesson 2 – Introduction to R Programming
Lesson 3 – Data Structures
Lesson 4 – Data Visualization
Lesson 5 – Statistics for Data Science
Lesson 6 – Regression Analysis
Lesson 7 – Classification
Lesson 8 – Clustering
Lesson 9 – Association
Module 6 – Tableau Desktop Specialist Certification Training
Lesson 1 – Getting Started with Tableau
Lesson 2 – Core Tableau in Topics
Lesson 3 – Creating Charts in Tableau
Lesson 4 – Working with Metadata
Lesson 5 – Filters in Tableau
Lesson 6 – Applying Analytics to the Worksheet
Lesson 7 – Dashboard in Tableau
Lesson 8 – Modifications to Data Connections
Lesson 9 – Introduction to Level of Details in Tableau (LODS)
Module 7 – PL – 300 Microsoft Power BI Certification Training
360 Digi TMG brings well-structured Data Analytics courses in Kuala Lumpur, that allow students to learn in both online and offline modes. They also provide intensive 6-month practical Data Analytics courses in Kuala Lumpur in association with the State University of New York, Potsdam. Which takes you from learning to working.
The course provided by 360 Digi TMG covers topics like predictive analysis, statistical modeling, and data visualization with hands-on training on tools like Power BI, SQL, NO/ SQL, Excel, Python, Tableau, and AWS.
This is one of those Data Analytics training programs in Kuala Lumpur that provides 100% job placement assistance. From interview preparation to portfolio building the course covers it all. students get trained with real industry projects so they can perform better in the future.
You get access to study materials worth USD 500 like mindmaps, Digital books on data science, and many more. You could access the learning management system (LMS) for up to 6 months upon completion.
Once the course is completed you will be awarded an industry-recognized certificate that is accepted worldwide. There are numerous Data Analytics courses in Kuala Lumpur, but this institute is worth it.
Course Name: Data Analytics Certificate Course
Course Duration: 3 months
Course Fees: MYR 3,300 (live online classes), it also provides onsite courses.
Universiti Kebangsaan provides a wide range of Data Analytics courses in Kuala Lumpur that equip students with industry-relevant skills and expertise. The instructors at UKM are global experts and data analyst geniuses. Learning from these mentors could be beneficial.
The course gives you hands-on experience on real-world Projects through internships making learners industry-ready. UKM has strong industry connections worldwide, that will give you exposure to a large group of communities globally.
UKM is recognized internationally for project-based learning opportunities. Hence, making UKM a great option to pursue data analytics courses in Kuala Lumpur. Students are offered three options to customize their learning modules: Data Computing, Data Analytics, and Finance & Business Analytics.
Course Curriculum:
Investment Analysis and Portfolio Managementweazdexjkisku ng
Data Mites is one of the best Data Analytics Courses in Kuala Lumpur as it is a globally recognized institute for data science and Artificial Intelligence training. This is a no-code course, which can be beneficial for students from non-IT backgrounds looking to transition their careers into the IT field.
The tools covered in this course are Excel, Tableau, and Power BI. Data Mites is recognized as the most outstanding data analytics institute in Kuala Lumpur as it provides a data analytics course, especially for Company Managers and decision-makers.
The course will help them manage data science and data analytics projects with the required technical knowledge. Hence, if you are a professional you could invest in this course to increase your skill-set.
The course is taught in both online and offline modes with lead mentors from prestigious universities. Students are provided 1 Live client project and they will also receive an internship certificate after completing the project.
The institute also provides IABAC certification which is based on the European Government framework. Which would be beneficial for your resume.
After completion of the program, you will be provided assistance for job placement like interview preparation, resume building, job alerts, deep research, and coaching expertise.
The course takes students through 5 case studies and has a Flexi-Pass option for busy students to access the course. The institute has good reviews from past students and a large network of alumni.
Course Name: Data Analyst Course in Malaysia
Course Duration: 6 months
Course Fees: MYR 5180
Course Curriculum:
Data Analysis Foundation – 6 Modules
Module 1: Data Analysis Foundation
Module 2: Classification of Analytics
Module 3: CRIP-DM model
Module 4: Univariate Data Analysis
Module 5: Data Analysis with Visual Charts
Module 6: BI-Variate Data Analysis
Python Foundation – 4 Modules
Module 1: Python Basics
Module 2: Python Control Statements
Module 3: Python Data Structures
Module 4: Python Functions
Statistics Essentials – 4 Modules
Module 1: Overview of Statistics
Module 2: Harnessing Data
Module 3: Exploratory Data Analysis
Module 4: Hypothesis Testing
Data Analysis Associate – 7 Modules
Module 1: Comparison and Correlation Analysis
Module 2: Variance and Frequency Analysis
Module 3: Ranking Analysis
Module 4: Break-Even Analysis
Module 5: Pareto (80/20 Rule) Analysis
Module 6: Time Series and Trend Analysis
Module 7: Data Analysis Business Reporting
Advanced-Data Analytics – 4 Modules
Module 2: Optimization Models
Module 3: Predictive Analysis with Regression
Module 4: Decision Modeling
Predictive Analytics with Machine Learning – 8 Modules
Module 1: Machine Learning Introduction
Module 2: Machine Learning Algorithm: Linear Regression
HELP University is one of the leading Data Analytics Institutes in Kuala Lumpur. It provides The Bachelor of Business Analytics (Honors) program which is designed to equip students with a sound statistical analysis approach focusing on programming and data management.
It gives students an in-demand skill set involving the interpretation of complex data for strategic decision-making.
Students are built into technical competency through core and elective components in fields such as Data Visualization, Marketing Analytics, and operations management.
The biggest advantage of the program is its partnership with SAS, which results in added value to the student for courses completed in the analytics track, students receive a joint certificate from both institutions, increasing the employability of the student in a data-intensive firm.
HELP is recognized as one of the leading Data Analytics Institutes in Kuala Lumpur, as it provides cutting-edge facilities that promote practical experience and creativity.
The amenities provided by the institute include a Bloomberg Finance Lab and the Business and Technology Innovation Centre (BATIC), which challenge conventional norms in the construction of popular structures.
In addition, this university’s partnership with Alibaba further complements students’ exposure to international e-commerce practices.
Equipped with a QS 5 Stars rating for online learning, HELP also ensured high-quality virtual education options that made it the first choice for aspiring data analysts as one of the best Data Analytics Courses in Kuala Lumpur.
Course Name: Information Technology (Honours) Data Analytics
UpGrad offers one of the best online Data Analytics Courses in Kuala Lumpur for those who are completely new to it and experienced professionals looking to make a career in data science and analytics.
It provides learning using industry-focused content that covers essential topics such as data analysis, machine learning, and data visualization.
Practical learning is done through real-world projects and case studies, which are necessary for applying data analytics in finance, health care, and retail industries.
One major advantage of the Data Analytics Training Programs in Kuala Lumpur at UpGrad is its flexibility, and the option to progress with the course at one’s own pace.
Moreover, learners will receive internship support including one-to-one mentorship sessions, career guidance, and access to a dedicated job portal. This support system helps to build related skills among the students making it easier for students to land good jobs.
It also provides industry-recognized certifications from IBM etc. The program is especially helpful to learners living in Kuala Lumpur as it gives them a global view of data analytics, which would be beneficial to attain jobs in both local and international markets.
The UpGrad data analytics course includes all of the above it is flexible and career-oriented. This allows students to acquire all the skills and experience they need to succeed in this rapidly expanding field.
Course Name: Post Graduate Programme in Data Science & AI (Executive)
Course Duration: 12 months
Course Fees: MYR 15,507
Course Curriculum:
❖ Course 1 – Data Toolkit
❖ Introduction to Python
❖ Programming in Python
❖ Course 2 – Machine Learning-1
❖ Linear Regression – I
❖ Linear Regression – II + Gradient Descent for SLR
❖ Specialization – Data Analytics
❖ Data Modelling
❖ Advanced SQL Programming
❖ Specialization – Business Analytics
❖ Bagging & Random Forests
❖ Model Selection
❖ Specialization – Deep Learning
❖ Bagging & Random Forests
❖ Boosting
❖ Specialization – NLP
❖ Bagging & Random Forests
❖ Boosting
❖ Specialization – Data Engineering
❖ Data Management and Relational Database Modelling
❖ Introduction to Cloud and AWS Setup
❖ Introduction to Hadoop and MapReduce Programming
❖ NoSQL Databases and Apache HBase
❖ Data Ingestion with Apache Sqoop and Apache Flume
❖ MapReduce Programming Assignment
Tools Covered:
Spark
Hive
Kafka
Airflow
AWS
Hadoop
MapReduce
HBase
EC2
Scoop
Flume
Redshift
Advantages of Pursuing Data Analytics Courses in Kuala Lumpur from UpGrad
Excel R presents one of the most dedicated Data Analytics courses in Kuala Lumpur, focusing on Python. Students get in-depth training to understand essential concepts of Python, such as data types, data structures, Tuples, Lists, Dicts, Basic operators, Functions, GUIs, Multi-Threading, Exceptions, Regular expressions, Networking, Lambda expressions, and many more.
Learners also get in-depth knowledge of Python OOPS concepts and modules, with special coverage of the Django framework and database programming.
ExcelR brings this course in collaboration with TCS, IBM, SGIT, and Steinbeis Akademie. Students get alumni status from SGIT Steinbeis University, Germany.
Moreover, they also get the opportunity to work on 80+ assignments and 3 real-time projects that ensure hands-on experience and guaranteed internship certificates, making it one of the best Data Analytics Training Programs in Kuala Lumpur.
Students get individual attention and doubt-clearing assurance through WhatsApp groups. This data analytics course in Kuala Lumpur provides training support and placement assistance, for a thriving career.
Thus, investing in this Data Analytics Training Program in Kuala Lumpur can open fields of opportunities in Python programmer roles.
General Assembly is one of the best & leading institutes that offers top Data Analytics Courses in Kuala Lumpur. It is a 12-week mindfully designed program for data analytics.
This program covers key concepts, including Data Cleaning, Data Visualization, SQL, Excel, and Python programming. Their course curriculum is curated by their top industry leaders.
The biggest advantage of studying at the General Assembly is its world-class reputation and industry connections.
They also provide their student with job assistance, interview preparation, resume building, and networking with their hiring partners.
General Assembly’s location in Kuala Lumpur, and offers two modes of learning options such as offline and online classes.
General Assembly is the best platform for candidates looking for lucrative Data Analytics Training Programs in Kuala Lumpur, that offers both knowledge and practical skills in the applied fields of data analytics.
Yes, if you want to be an outstanding performer in this competitive market, then you must take this course.
Q2. What is the eligibility to pursue a data analytics course?
To be eligible for the data analytics course candidate must have a Bachelor’s Degree in Statistics, Mathematics, or Computer Science with at least 60% or equivalent CGPA. However, the list of prerequisites varies from institute to institute depending on your preferred level of courses.
Q3. Is coding required for data analytics?
Yes, basic knowledge about coding will help you learn quickly.
Q4. What is the salary of a data analyst?
The average salary in Kuala Lumpur may range between MYR 4000 – MYR5000. This is dependent on the size of the organization.
Q5. What are the job roles after completing data analytics?
Some very common job profiles after being a certified Data Analyst in Kuala Lumpur are Data Engineer, Business Analyst, Data Architect, Data Scientist, and more depending on the expertise.
Conclusion:
Kuala Lumpur is a fabulous destination to learn Data Analytics! Numerous Data Analytics courses in Kuala Lumpur can train students, in everything from basic to advanced everything they need to know about analytics.
These courses are instructed by senior professionals who can help learners understand crucial and complex concepts and utilize them in real-world scenarios, they learn the steps to collect, clean, analyze, and visualize data to figure out valuable information.
Pursuing Data Analytics Courses in Kuala Lumpur will groom you for a thriving career in Data Science, Machine Learning, or Business Analytics. Learners will be able to work with businesses of all sizes, from startups to multinational corporations.
So, if you are looking to boost your career, and become a data-driven professional, Kuala Lumpur is the place to be. Enroll in one of the Top 10 Data Analytics Courses in Kuala Lumpur listed above today, and leap to a brighter future!
