The end goal for any business is to earn profit. So, to earn a profit, one has to make proper business decisions that lead to success. One of the major decisions in business is financial decisions. Investment Banking helps organizations in getting capital funding and making financial decisions beneficial for the company. Investment banks also help in the merger, acquisition, & underwriting of organizations. Before beginning with the top 6 institutes offering investment banking courses in London, let us understand what investment banking is, its types, and the importance of investment banking.
What is Investment Banking?
Investment banking is a division of the financial industry that provides a range of services like issuing securities (such as stocks, and bonds), strategic financial advice to companies, underwriting, capital raising, asset management, risk management, Merger & Acquisitions to corporations, governments, and other institutions.
Investment Banking is a type of banking that provides financial services to governments, organizations, corporations, and large institutions. They manage the corporation’s IPO and give advice to various companies regarding mergers, acquisitions, or reorganizations.
They act as the median between the ones looking for capital and those who are looking to invest their money. Investment Banks help other banks and organizations in large and complicated financial transactions.
Businesses and institutions seek advice from investment banks relating to how to plan their finances, from where to seek funds, advice relating to mergers, acquisition or reorganization, issuing of stocks, and sale of securities.
Some of the biggest investment banks are Goldman Sachs, Morgan Stanley, JP Morgan Chase, Bank of America, Citigroup, Barclays Investment Bank, Merrill Lynch, and Deutsche Bank.
Let us understand investment banking and its roles through an example
Suppose Rayon Fabrics (an MNC Company dealing with all types of fabrics) approaches an investment bank to assist them with their IPO process. Firstly, the investment bank’s researcher and analyst team does the financial analysis of Rayon Fabrics.
They will assess its business model, financials, market position, growth prospects, and competitive landscape. Based on their analysis, they determine the appropriate valuation for the company.
The investment bank then advises Rayon Fabrics on the optimal capital structure and share offering size. They also help the company determine the initial offer price for its shares.
They ensure that the IPO complies with all the relevant securities laws and regulations. Then they will work with the company’s legal team to prepare the necessary documentation and filings with the appropriate regulatory authorities.
The Bulge Bracket Banks are the largest in terms of size and in terms of handling the biggest corporate clients and largest deals. The majority of clients belong to the Fortune 500 or at least on the list of Fortune 100.
Bulge Bracket Banks works globally, they have a presence in the domestic market as well as the international market. They provide their clients with all the financial services including asset management, equity research and issuance, M&A Services, business asset management, underwriting, and every service included in the finance sector.
These banks also have retail and commercial sectors to gain additional revenue by cross-selling financial products. Some of the famous Bulge Bracket banks are Bank of America, Merrill Lynch, Goldman Sachs, Credit Suisse, and JPMorgan Chase.
Boutiques
Boutique investment banks are sub-categorized into two types: Regional Boutique Banks and Elite Boutique Banks.
· Regional Boutique Banks
Regional Boutique Banks are the smallest investment banks in terms of firm size and deal size. These banks specialize in a particular area and work in that field only. They handle smaller deals ranging from $50 million or less up to $100 million.
They work for smaller firms and organizations and their offices are also in specific regions only. Some of the famous Regional Boutique Banks are SunTrust, Wedbush Securities, KeyCorp, Piper Jaffray, and Duff & Phelps.
· Elite Boutique Firms
Elite Boutique Banks resemble Bulge Bracket banks in terms of dollar value which is over $1 billion. They handle smaller deals as well. However, they do not provide all the investment banking services like Bulge Bracket banks and limit their services to handling M&A-related issues.
Their presence is global like Bulge Bracket banks. Most elite boutique banks start as regional boutique banks and through handling bigger and larger deals with prestigious clients they turn up into Elite Boutique banks. Some of the famous Elite Boutique Banks are Lazar LLC, Moelis & Company, and Evercore Group LLC.
Middle-Market investment banks, as the name suggests are in the middle between smaller regional investment banks and bulge bracket banks. They work on deals ranging from about $50 million up to around $500 million.
As the name suggests they are in the middle ground geographically, having a larger scale than regional banks and a smaller scale than bulge bracket banks.
They provide the same services as Bulge Bracket Banks but their geographic pace is smaller. Some of the famous middle-market banks are Cowen Group, William Blair & Co., and Lincoln International. The Investment Banking sector is in high demand and investment bankers are paid extensively high based on their roles and designations.
How Much Does an Investment Banker Earn?
Here is the list of the Top 10 investment banks paying the highest salary ranked by Pay
Centerview- $220,000
Evercore- $210,000
Lazard- $205,000
Rothschild- $198,000
Guggenheim- $190,000
Bank of America-$186,000
Citi- $180,000
Goldman Sachs- $178,000
P.Morgan- $175,000
Morgan Stanley- $170,000
These are the annual salaries of first-year investment analysts including bonuses. Fascinating isn’t it?
Many more reasons to join Investment Banking Courses in London.
Now let us see the Salary structure of an Investment Banker in various positions:
Position
Base Salary
All-In Compensation
1st Year Analyst
£60,000 is the standard
Some give a signing bonus of up to £5,000
£95,000 to £105,000
2nd Year Analyst
£65,000
£100,000 to £125,000
3rd Year Analyst
£70,000
£125,000 to £145,000
Associate
£120,000 to £220,000
£1,95,000
Vice President
£250,000 to £350,000
£3,92,000
Managing Director
£1.1 Million or above
£782,000
Source: wallstreetprep.com
The UK and Europe have been the financial capital cities globally for a long time. They are considered the hub for finance. As investment banking is a huge part of the finance sector and financial institutions there are tremendous scopes for Investment Banker in London. So, Investment Banking Courses in London are high in demand as they offer a decent pay scale to sustain a good life.
Looking for practical-oriented courses with placement? Dig in here:
Top 6 Institutions Offering Investment Banking Courses in London
1. IIM SKILLS
IIM SKILLS has been serving the best training and educational courses to students since 2015. They have trained more than 35000 students across the globe with expert faculties having experience of more than 12 years in their specialized fields.
The courses offered at IIM SKILLS are as follows:
Digital Marketing Master Course
Data Analytics Master Course
Content Writing Master Course
Advanced SEO Course
Financial Modelling Master Course
Investment Banking Master Course
Technical Writing Master Course
GST Practitioner Certification course
Business Accounting & Taxation Course
IIM SKILLS is one of the leading institutes providing Certified Investment Banking Courses in London. Their course structure is entirely based on the latest industry concepts and practices.
Their Investment Banking Master Course Certificate is recognized by the MSME Government of India. They customize courses based on the geographic location of the student. So, any student located anywhere in the globe can learn Investment Banking from IIM SKILLS.
DataTrained is an ed-tech company providing various institutional courses and programs in fields like Data Analytics, Data Science, Investment Banking, Artificial Intelligence, Financial Modelling, Machine Learning, Digital Marketing, and many more.
DataTrained offers Investment Banking Courses in London as a PG Program in Investment Banking and Financial Modelling.
Here you will learn about the most in-demand investment tools, financial technologies, and various approaches to becoming a successful investment banker.
Key Features:
Globally recognized certificate
Weekend classes for the working professionals and weekly classes for the rest
Learning job-relevant skills
8 live case studies and projects assigned
100% career assistance
Classes are taken by trained industry experts
Profile building and interview preparation based on industry standards
Course Structure:
Module 1- Basics of Finance
Module 2- Introduction to Financial Statement
Module 3- Basics of Economics
Module 4- Introduction to Investment Banking
Module 5- Introduction to Financial Modelling and Valuation
Module 6- Basic to Advanced Excel
Module 7- Microsoft PowerPoint
Module 8- Discounted Cash Flow Valuation
Module 9- Cost of Capital
Module 10- Relative Valuation
Module 11- Start-up Valuation
Module 12- Merger & Acquisition
Module 13- Financial Management of Start-Ups
Their top placement partners are Yes Bank, RBS, Axis Bank, Accenture, Infosys, Bank of America, aureus, cognizer, Redington
Duration of the course: 6 Months
Course Fee: £3800
Contact Details:
Phone: +919560084091
Mail: admissions@datatrained.com
Looking for other in-demand courses for career development? Dig in here:
IMARTICUS was started in 2012 and currently, they have trained 10,00,000+ students, they have tie-ups with more than 500+ companies and their placement record is 85%.
The Certified Investment Banking Operations Course at IMARTICUS Learning is for learners with 0-3 years of experience in the finance, commerce, or business fields.
This course will help you transform your career into an investment banking expert or analyst. IMARTICUS investment Banking courses in London help you understand the fundamentals of finance, trade market, trade life-cycle, and risk management.
Key Features:
Extensive career support by taking mock interviews and building resumes.
A certificate recognized by top industries
Learning Job-Specific Skills
Live training by expert faculties
Learning with live projects and solving business problems and case studies designed by expert industry partners
Job Guarantee with full-fledged interview preparations
Course Structure:
Module 1: Introduction to Financial Markets
· Introduction to Investment Banking
· Cash Equities and Fixed Income
· Foreign Exchange and Money Markets
· Derivatives Market
· Job Readiness
Module 2: Trade Life Cycle
· Reference Data Management
· Corporate Actions
· Asset Management
· Reconciliation
· Introduction to ISDA
· Stock, Borrow & Lending
· Collateral Management
· Trade Life Cycle
Module 3: Risk Management
· Risk Management & Regulatory Environment
· Anti-Money Laundering & KYC
· Job Readiness
Duration of the course: 2 months for the weekday batch and 3 months for the weekend batch.
Course Fee: £1328
Contact details:
Phone: +919319746164
Email: info@imarticus.com
It can be paid in two installments
The Certified Investment Banking Course Operation at IMARTICUS is internationally recognized and accredited by CISI. The top recruiting companies at IMARTICUS are Goldman Sachs, RBS, Capgemini, TESCO, TCS, HSBC, KPMG, and UBS.
Is finance your niche? Here are the best courses for you:
The Queen Mary University of London was established by great charitable institutions of London’s East End in 1785. At QMUL you will find students from across many countries globally. QMUL is an established name in the fields of economics, finance, business studies, and various business master courses.
QMUL Investment Banking Courses in London include the study of commercial and investment banking, financial derivatives, risk management, asset management, trading, and mergers & acquisitions.
Investment Banking Courses in London Key Features:
Computer labs with the latest trading software
Learning from visiting city professors and research special experts
Comprehensive learning in the financial sector
Option to choose from a wide range of subjects based on your interest area
One-on-one support with job applications, interviews, and internships
Campus Accommodation for International Students Staying there
Course Structure:
The course structure is as follows:
6 compulsory modules + 5 elective modules+ research project of 2500 words
6 compulsory modules+ 3 elective modules+ dissertation of 7000 words
Compulsory Modules are:
Mergers and Acquisitions
Dissertation
Financial Modelling in Excel
Practical Valuation
Primary Markets and Securities
Leadership, Strategy, and Management of Investment Banking
Foundations of Corporate Finance
Research Project
Elective Modules are:
Financial Derivatives
International Finance
Behavioural Finance
Risk Management for Banking
Asset Management
Principles of Accounting
Bond Market Strategies
Applied Wealth Management
Credit Ratings
Portfolio Construction Theory
Strategic Asset Allocation
Real Estate Finance
Empirical Finance
Private Equity and Venture Capital
Interest Rate Derivatives
Big Data Applications for Finance
Financial Engineering
Statistical Machine Learning in Finance
Fintech
Climate Finance
ESG Investing
Financial Data Analytics
R for Finance
Entry Requirements for Applying:
Degree of graduation in any subject
English Language Proficiency Certificate
Certificate of passing IELTS or other examining institute as per the country
Approved Visas and Immigration
Duration of the course: 1 year
Course Fee: Home-£20,850
Overseas-£28,950
Contact Details:
Phone: +44(0)2078825555
Email: studentrecruitment@qmul.ac.uk
5. University of Hertfordshire
UH has more than 30000 students studying from over 140 countries with high-quality and expert teaching faculties. They have more than 550 career-focused degree options to choose from.
UH’s MSC in Finance and Investment Banking course provides comprehensive and coherent learning in various financial sectors with practical exposure. Their Investment Banking Courses in London include group seminars, web-based resources, statistical software, and working experience to enhance job profiles.
Key Features:
Fast-track option available to complete the course in one academic year than the regular two-year course
Two years complete course includes advanced research and work placement opportunities
Great industry connections with top companies
Providing IT analytical skills to get theoretical and practical exposure
The course structure is as per the standards of the Chartered Financial Analyst Institute(CFA)
Course Structure:
Module 1: Financial Statement Analysis 1
Module 2: Financial Statement Analysis 2
Module 3: Quantitative Analysis
Module 4: Financial Data Analysis
Module 5: Asset Valuation
Module 6: Financial Markets and Institutions
Module7: Economics, Finance, and Banking
Module 8: Dissertation(Msc FIB)
Module 9: Research Methods Msc FIB
Entry Requirements:
Honors Degree (2:2 or equivalent) in the field of economics, banking, finance, engineering, accounting, or mathematics
A professional degree like ACCA, CIMA, CIPFA, CFA, ICAEW, and ICS is given priority
English Language proficiency certificate with an IELTS score of 6.5
Duration of the course: 1 year (Full-Time)
2 years (Part-Time)- Academics+ Working
Course Fee: Full-time -£15450
Part-time -£1290 per 15 credits
Contact Details:
Phone: +44(0)1707284800
Email: ask@herts.ac.uk
6. Bayes Business School
If you are planning to make a successful career in the finance sector their Investment Banking Courses in London is specifically designed for you. Bayes Business School provides practical and strategic learning with the assistance of senior bankers and finance professionals.
Key Features:
Learn from the world’s largest and most highly respected finance professionals
Work experience with academic banking fields.
They have a center for Banking Research where they host seminars, workshops, and events with industry partners.
Course Structure:
Terms
Core Modules
Elective Modules
Term 1
· Global Banking
· Financial Statement Analysis
· Principles of Finance and Valuation
· Data Analytics for Banking and Finance
· Research Methods in Modern Finance
Term 2 ( you have to choose 2 core and 2 elective modules)
· Bank Risk Management
· International Finance
· Corporate Finance
· Fixed Income
· Alternative Investment
· Topics in M&A
Term 3
· Business Research Project and one elective
· Applied Research Project and 3 electives
· Five Electives
· Behavioural Finance
· Ethics, Society, and the Finance Sector
· Financial Crime
· Financial Statement Analysis
· Hedge Funds
· Investment Banking in Corporate Finance
· Mergers & Acquisitions
· Private Equity Investment
· Trading and Market Microstructure.
Bayes Business School’s MSC in Banking and International Finance is recognized by the Chartered Bankers Institute (CBI) and the Institute of Chartered Accountants in England and Wales(ICAEW).
Duration of the course: 1 year
Course Fee: £31,700
Contact Details:
Phone: +44(0)2070408877
Email: bayes-mastera@city.ac.uk
These are the Top 6 institutes providing Investment Banking Courses in London.
Frequently Asked Questions (FAQ) About Investment Banking Courses in London
What are the qualifications required before joining Investment Banking Courses in London?
A bachelor’s degree in finance, economics, accounting, or business is required primarily to join any postgraduate or master’s course in Investment Banking. A keen interest in the finance sector helps you learn the course with full enthusiasm and zeal.
Is Investment Banking a Good Career Option in the UK?
The UK is considered the financial capital city of the world. So, there are ample opportunities for an investment banker in the UK. The top investment banks like JP Morgan, Morgan Stanley, and Goldman Sachs pay an excellent salary to their investment bankers. The average salary of an investment analyst is £30,000 to £40,000 and it increases in millions as per experience and work designations. Also, not just in terms of pay-scale investment banking is a rapidly growing sector in today’s time.
What are the job opportunities available after completing Investment Banking Courses in London?
As an investment banker, you can work as an Investment Banking Associate, Investment Banking Analyst, Investment Banking Trainer, Internal Audit Associate, Executive Financial Assistant, Investment Administrator, Managing Director, Vice-President, and M&A Analyst in any investment bank as per your skills and experience.
Do you genuinely want to learn data analytics course? Do you want to sever ties with your former life? Are you considering data analytics and debating whether it’s a wise decision to make? You’ve arrived to the right place. Welcome to this article on IIM SKILLS vs. Jeetech Data Analytics course, where you will learn everything there is to know about the two top institutions offering top-notch data analytics training and helping you advance your career. You may learn everything you need to know to succeed by enrolling in a top-notch online data analytics institute. Let’s look for a new route.
Data analysis has been a significant concept since the 19th century, when Henry Ford measured the speed of each part of his new assembly line to determine where it could be made more productive. Analytics became even more important in the 1960s when researchers started using computers to help with business choices.
Understanding Data Analytics:
Let us take an example of a company. Suppose a company named X sells products like body lotion, shampoo, bath gel etc. Assume that 8 out of 10 clients choose to purchase shampoo from that company. Only 2 out of 10 people, however, purchase bath gel from the same company.
Data Analysis means figuring out why only 2 customers trusted X with bath gel when 8 customers are ready to trust X with shampoo.
Therefore, analysis is the process of looking through data to detect patterns or discover the internal workings of anything.Data analysis comprises finding patterns, correlations, and trends in the data and drawing conclusions that have practical applications.
Decision-making can be aided by the knowledge gained by data analysis, which can also help to spot areas that could use improvement or lead to the creation of new goods, services, or procedures. Data analysis is used in a variety of industries, including banking, medical, marketing, and engineering, among others.
Data significantly impacts businesses globally regardless of their size, location or sector.80% of the firms use data for operations like product management, customer support and production. This is to be anticipated. As a result of data analysts’ assistance in finding trends and fixing issues, corporate executives are able to make better judgments.
In reality, if you don’t have a degree but want to work as a data analyst, you shouldn’t be worried. Data analyst employment will predominate among no-degree occupations by 2025; therefore, you won’t need a degree to apply. You will learn the skills you need to thrive in a high-quality online data analytics course, and many data analysts without degrees have found rewarding employment. Therefore, it would be wiser to enroll in a recognized institution and complete a certificate program in data analytics training. But let’s try to comprehend data analytics in its simplest form for the time being. Now, the issue of where to enroll to start a career in data analytics comes up. To help you with that, we invite you to read this post comparing IIM Skills vs Jeetech’s data analytics courses so you can decide which one is most suitable for you.
Data Analytics is a large science or field including complete data control. The collection, organization, and storage of data, as well as all the tools and methods utilized, are included in this in addition to analysis. Therefore, in plain English, we may state that data analysis is the process of carefully scrutinizing, changing, and arranging a given data collection in order to explore its constituent parts and derive valuable information.
Engineering, marketing, finance, and the medical industry are just a few of the businesses and fields where data analytics is frequently used. It can be used by businesses to boost productivity, uncover new possibilities, and make wise decisions.
A key component of pushing forward to accomplish your goals is developing trust in the institution you wish to enroll in.Only when institutions honor their commitments and keep their promises can trust be built. One of such kind of an institute is IIM SKILLS.
IIM SKILLS, one of the top educational technology institutions that has won numerous awards for its exceptional support of its students, has worked to provide the top professional education required to succeed in a variety of extremely lucrative fields, including finance, content writing, digital marketing, and technical writing, among others. The CEO and the digital consultant Mr. Vaibhav Kakkar highlight the importance of immersive, interactive learning for both professionals and students.
The IIM SKILLS course curriculum is demanding and includes modules, real-world projects, case studies, and learning aids to improve learning retention and enjoyment.
IIM Skills is known for its challenging professional courses, one of which is the Data Analytics Course. The rigorous course material equips you with a thorough understanding of data and how it can help firms survive in this increasingly competitive market.
This Data Analytics Training program is a 6-month total training period and comes with a 2-month, optional, non-paid internship. You gain competence in many different areas, including Python libraries, NumPy, DB Scan, clustering, along with many other concepts.
Additionally, you learn how to use interactive dashboards and get experience with visualization tools. The course covers all of the following:
Heatmap
Pareto
Waterfall
Tree map.
Through live immersive learning sessions, IIM SKILLS’ data analytics course uses an immersive learning methodology. The case studies, practical projects, and ongoing evaluations help you gauge your understanding of the challenging aspects of the data analytics process.
Their extensive instruction consists of 9 modules, each of which has 100 + hours of practical work and 150 + hours of lectures. As an additional option, you can select a particular module to study based on your needs.
In order to give you practical experience, this professional course comprises 10+ case studies, 7+ tools, and 7+ live projects. After the training is over, their committed placement cell staff conducts 100+ interviews with assurance.
Course Fees: 49990 INR plus taxes
Jeetech Academy:
Jeetech Academy is a top online learning resource offering data analytics courses that are applicable to the industry world. The Academy in Delhi is regarded as the leading institution that focuses on developing strength and offers its students 100% placement. To provide thorough training in data analytics, data science, and big data, they work in collaboration with academic institutions and industry specialists. Various technologies and topics are covered in Jeetech Academy classes, including SQL, Python programming, data mining, and data visualization. To guarantee a comprehensive learning experience, they offer engaging online lessons, useful assignments, and individualized mentoring. Assisting with job placement, networking, and career support are other services provided by Up Grad. They provide students real-world assignments to work on, which helps them become more proficient and self-assured. Students use the most recent technology that is presented to them in real-world assignments.
Jeetech Academy is known to provide quality skills to their learners.
Jeetech Data Analytics Course-Overview:
Jeetech academy provides live project training to each learner. They finish the entire curriculum with complete practical assistance so that the learner can easily achieve industry-level skills.Jeetech Academy offers highly reputable data analytics course called Data Analytics. It gives students thorough training in data analytics methods and equipment so they are prepared to succeed in the profession. Data manipulation, data visualization, predictive modeling, and machine learning are all topics covered in the curriculum. Jeetech Academy provides hands-on projects and case studies that mimic real-world data analytics problems with a strong emphasis on practical learning.
The Jeetech Academy Has Some Outstanding Traits
The most reasonable institutions use a reverse teaching methodology, whereby they first provide practical instruction before presenting theoretical concepts.
The trainers are very knowledgeable and have more than 14 years of expertise in the field of data analytics and data analysis.
The instructors frequently communicate with the company’s HR department and keep students informed about open positions.
The instructor concentrates on real-world training help and provides individualized attention to every student.
Professional performers can effectively hone their skills on the weekends thanks to special batches created only for them.
They allow students the flexibility to work on legitimate assignments. Students can learn actual working designs of the business in this method.
The Jeetech academy is crucial in helping students get the best placements. They prepare learner resumes in accordance with current business norms. The group makes sure that each student gets a good job in the company.
Course Fee:
Highly affordable so that anyone can learn a new skill.
Eligibility Criteria of IIM SKILLS vs Jeetech Data Analytics Course:
IIM SKILLS
Jeetech
IIM SKILLS believes that anyone can enroll in their data analytics course if they want to advance in their field, and this includes:
Fresh Graduates
UG/PG Students
IT Professionals
Sales Professionals
Supply Chain Network Managers
Banking and Finance Professionals
Marketing Managers
The data analytics course of Jeetech is the ideal career path for people who want to advance their IT careers. Some professionals can also enroll in data analytics courses and become knowledgeable.
Fresher and working professional
Programmers
Experts who work with corporate intelligence and reporting software
Business analyst
Professionals who work in data warehousing.
Statisticians, Economists, and Mathematicians.
Tools covered in IIM SKILLS vs Jeetech Data Analytics Course:
Key Highlights of IIM Skills vs Jeetech Data Analytics Course:
IIM SKILLS
Jeetech Academy
Participants are instructed by faculty of industry expert
The program is totally organized and delivered on data-driven tools
Participants have to work on 7+ live projects/ 10+ case studies
The program provides a 2-month non-paid internship for practical training, enabling industry exposure.
24*7 support available to course participants
IIM SKILLS provides an interview guarantee and job assistance support.
100% money back guarantee if not satisfied after the first class
Participants are taught by highly experienced certified trainers with 12+ years of experience
Participants will be assigned real-world case studies and projects. They will undergo projects involving data cleaning and R programming.
Jeetech hold bootcamps on a regular basis along with seminars, and webinars.
Participants are provided with free access to various data analytics competitions and hackathons.
Participants are provided with live training of 100+hours along with regular bootcamps,seminars and webinars on a regular basis.
Participants learn new things in both online and offline modes. They are being provided with back-up classes, videos, and revision sessions in addition to project assistance.
Jeetech supports in resume preparation and portfolio building as per current industry standards.
Jeetech provides 100% guaranteed placement assistance, internship and hands-on live project
It also offers lifetime support and industry recognized certificate.
Learning Outcomes of IIM SKILLS vs Jeetech Data Analytics Course:
IIM SKILLS
Get a solid understanding of data interpretation in Python.
IIM SKILLS Know the fundamentals of statistics, such as correlation, central tendency, dispersion, and regression – be familiar with Excel at SQL terms such as commands and query universal tool.
Learn Python’s principles, including lists, contributions, branching, sets, dictionaries, objects, and classes, to effectively use the language.
Use the ideas of variables, loops, conditions, functions, etc. to develop Python programs.
Explore how to write and read files in Python while dealing, storing, and loading data with Pandas.
Using NumPy’s multi-dimensional arrays, Scikit learns machine learning, and Pandas’ data frame management implementation.
Using Python libraries to analyze the data analytics performance.
Have an extensive grasp of classification approaches, linear and non-linear regression models, and both for the data analysis work process.
Learn how to use hierarchical techniques and clustering techniques (K-means, DBSCAN) in an effective manner
Learn how to use Excel for Business Analytics
Learn about the model and statistics in Tableau and hone your abilities to create interactive dashboards.
Acquire knowledge of visualization techniques including waterfall, heat maps, tree map, market basket analysis, and Pareto
Reasons Why to Choose IIM SKILLS for Data Analytics Course:
MSME Government of India Recognition
Renowned for providing outstanding post-course support
Excellent and knowledgeable professors
Outstanding post-course support.
Affordability
There are a variety of learning materials available, including case studies, practical projects, specialized modules, etc.
Free lifetime access to the learning material
Efficient Pedagogy
The courses are 100% practical oriented and technology-driven
All the courses by IIM SKILLS are 100% certified and globally recognized.
The course curriculum is personally created and organized by their mentors who are subject-matter experts and have gained decades of expertise.
They provide support and career developing advice 24 hours on a daily basis.
The fact that all the courses are online provides all the applicants flexibility in learning and flexible schedule.
100% assured internship
Reasons Why to Choose Jeetech Academy for Data Analytics Course:
They provide Practical In-depth Training
Their group of trainers is industry professionals maintaining more than a decade of knowledge in training.
Small Batch Sizes
SmartLabPlus Teaching Methodology
100 % Job Assistance
Personality Development
They provide life time support
Interview Preparation
Affiliation with Top Companies
Their certificates are globally acknowledged provided after fulfillment of the course.
They trained 3500+ nominees in a year
To improve the students’ abilities, they offer personality development classes, English classes, communication classes, and mock interviews.
Diverse Variety of Courses
They were successful in establishing a large number of scholars who are currently employed by MNC Companies.
The training institute develops in its students ideas that aid in securing employment in top companies.
Frequently Asked Questions Related to IIM SKILLS Vs Jeetech Data Analytics Course:
Q1. Is it suggested that beginners take these Data Analytics courses?
Yes, beginners can take the course without a doubt. Experts have designed the course curriculum, which covers all the basics from fundamentals to advanced ideas related to data analytics. The course steadily advances to the expert knowledge of Excel, Tableau, Python, and Power BI after starting with an introduction to data analysis.
Q2. How to get started as a Data Analyst?
The following five factors should be taken into consideration if you want to work in data analytics:
Obtain a bachelor’s degree in a subject that places a focus on statistical and analytical abilities, such math or computer science.
Learn important data analytics skills
Consider certification
Land your first job as an entry-level data analyst.
Complete a master’s degree in data analytics.
Q3. How important are data analysts in the modern world?
Data gradually reshapes the systems we use today and every day. Whether you use chat applications, Google to search, or Instagram to view your feed, you are doing both data creation and consumption at the same time. In the modern period, 2.5 quintillion bytes are produced every day.
Data analysts are needed to determine what to do with the abundance of data present in this situation. Businesses of all stripes rely on data analysts as experts. A data analyst brings value to businesses by collecting data on certain topics, interpreting it, doing in-depth analysis, and presenting the findings in comprehensive reports.
Data analysts are regularly expected to use their skills and resources to perform competitive research and identify market trends. To put it simply, a data analyst’s job is to use the data to help firms make better business decisions.
IIM SKILLS vs Jeetech Data Analytics Course Conclusion:
You are a special person, so your needs for a course will be different from those of other students. Because of this, it is essential that you carefully consider all of the specifics of each institution before choosing the one that is ideal for you.
Thus, it is evident that data analytics has recently risen to the top of the list of professions in demand in India. Companies are looking for qualified personnel to assist them in making sense of the data explosion brought on by the digital age. To meet this need, a plethora of data analytics courses have emerged, each promising to equip students with the skills they need to excel in this sector. The fact remains that not all courses are created equal, and some offer better placement support than others.
In conclusion, the above-mentioned courses are highly esteemed learning platforms that provide top-notch Data Analytics courses. Students can acquire hands-on experience and practical knowledge that will be beneficial in their careers by focusing on real-world projects and domain-specific topics. Depending on your requirements, choose the best course from the above-mentioned list.
So that’s the end of this blog. I hope the information this post has given you is sufficient to enable you to make a choice. Even so, it is advised that you read alumni testimonials students’ reviews, unbiased reviews, and of course the course material before making a choice.
Having never handled data before? Do you want to begin your data analytics career? We have you covered. Data has evolved into a universal requirement for all of us. Jobs in the data industry are in high demand right now. Attending the right Data Analytics course should be a top priority in your life. Knowing that, in this highly competitive environment, choosing the right route will prove to be a very difficult assignment for you. You are welcome to read this article, IIM SKILLS vs IIM Kozhikode Data Analytics Course, to go deep into a new skill or just dip your toes in to see if it’s suitable for you.
You don’t need to worry if you have any concerns about taking this course because you can easily enroll even if you lack the necessary school credentials or professional experience in the sector. Data analysts are in high demand, and there is a shortage of skills, due to which industry experts are concerned. Here is a comprehensive examination and analysis of the IIM SKILLS vs IIM Kozhikode Data Analytics Course which might assist you in keeping an eye on things and making smart decisions.
Now that we’ve reached this point, let’s talk about where to begin. In reality, the first and most important item to consider and research is what data analysis is actually and why one should choose to follow this course of study.e., what is the need for data analysis.
Global businesses produce enormous amounts of data each year. Log files, web servers, transactional data, and various customer-related data are all examples of how this data may be presented. Additionally, data has been produced at a rapid rate through social media platforms and applications like Facebook, Instagram, Twitter, and WhatsApp.
Businesses want to use this data to extract value from it and make business choices, which is where data analytics comes into play. Data analytics boost the efficiency and speed of international trade. Since it is the act of analyzing and examining undetected patterns, unearthing correlations, and gathering valuable knowledge that can be applied to produce business projections, data analysts examine and analyze enormous data sets.
A few years ago, a firm would have manually collected information, performed statistical and intricate analytics, and discovered information that might be used for decisions in the future. However, in the modern world, that organization can quickly recognize that business when a decision needs to be made.
The majority of businesses have access to big data, and most of them are aware of the need to use it carefully and to the fullest extent possible. These experts use several cutting-edge technologies and methodologies in their work as data analysts.
Whatever we have learned in data analytics, we are now in a position to explore its uses:
The uses of data analytics are numerous. In a variety of business endeavors, breaking down large amounts of information can increase productivity. Organizations can succeed in a relentlessly competitive world by improving execution.
Advantages: –
It becomes more crucial for your company to understand how to use data analytics as its importance in the corporate world grows. Several benefits of data analytics include:
Improved Decision Making
More Successful Marketing
Better Customer Service
More Effective Operations
Data Analytics increases maximum efficiency
Data analytics is also used to identify fraud, which improves efficiency and lessens threats to financial institutions.
You should check the courses in other rewarding cities
However, using data analytics extends beyond increasing profits and return on investment. Data analytics can help with health informatics, criminal justice, and environmental protection by supplying crucial information. Data analytics activities use these techniques to improve the world.
Data analytics have long been used extensively in the healthcare industry. Examples of how data analytics is transforming healthcare include the ability to predict patient problems, allocate resources effectively, and perfect individual methods. Machine literacy is reshaping the pharmaceutical industry as well. It is a difficult task with many factors to discover new medicines.
The Discovery of new medicines can be significantly improved by machine literacy. In order to comprehend patient needs and forecast their deals, pharmaceutical corporations also employ data analytics.
Thankfully Data Analytics have a significant advantage on the companies. Using Data Analytics is a skill that is becoming more and more valuable because the margin for error in decisions is getting less and thinner. Gaining insights, planning ahead, and interpreting the unprocessed transactional data that many businesses today keep on a digital platform is necessary.
Several reasons why it’s crucial to take a data analytics course
To comprehend trends and patterns from the enormous amounts of data being gathered, data analytics are crucial. It aids in cost savings, cost forecasting, audience understanding, and company performance optimization. You must research trends if you want to be successful in the digital age that is fostering the development of a knowledge-based society. Every business, from start-ups to multinational corporations, relies on data to develop better business plans for the future.
The internet has made it simple for everybody in this information age to obtain information whenever and wherever they need it. Now imagine that you are the individual who these businesses rely on before they make any significant business decisions. Here are several justifications for enrolling in a data analytics course:
Data analytics transforms businesses, influencing decision-making and marketing tactics, and impacting strategies and tactics for both large and small organizations.
Data analytics is a demanding career, seeking skilled candidates with relevant skills. A certified degree is essential for success. Whether new or technical, data analytics is crucial for career growth and future benefits.
The Science and Technology Committee predicts 58,000 job creations and £216bn economic contribution by 2021 due to rising demand for data specialists. With a social media presence, data analytics professionals are essential for businesses, making this a wise career move.
Data-dependent industries offer diverse career opportunities in business intelligence, marketing, sales, finance, data assurance, and higher education.
Data analytics offers freelancing opportunities and potential for well-paid consultant positions for major firms. IT-based job, with an internet connection, provides global income and work-life balance.
IIM SKILLS vs IIM Kozhikode Data Analytics Course – A Detailed Analysis
Now that it is relevant that one should pursue a data analytics course due to its advantages and effectiveness, we would undertake thorough research over the top courses and leave it up to you to determine which one course would be appropriate for you.
IIM SKILLS
IIM SKILLS is a renowned organization that offers various skill development courses in India. They provide training programs in data analytics, digital marketing, content writing, search engine optimization(SEO), social media marketing, and other in-demand skills.
Key Features:
IIM Skills has a team of experienced professionals who are experts in their respective fields. They have extensive knowledge and practical experience that they bring to the training programs. IIM SKILLS entered the teaching profession after over five years of operating an educational blog that reached over 1 million internet users worldwide.
The courses offered by IIM SKILLS are designed to provide in-depth knowledge and skills required to excel in specific domains. The course content covers both theoretical concepts and practical applications.
The 6-month Data Analytics Courseoffered by IIM Skills includes a 2-month unpaid internship training. 160 hours of lecture time are included, along with 100+ hours of practical assignments and 7+ hours of live projects. You can master 7+ tools using its 10+ case studies. Additionally, it offers a guaranteed internship with learning that is based on actual experience.
Duration – 6 months of Training + 2 Months Internship (Non-Paid)
Topics covered in this course include:
Introduction to data handling
Data Manipulation Using Functions
Data Analysis and Reporting
Data Visualization in Excel
Overview of Dashboards
Create Excel dashboards utilizing Pivot Controls.
Acquire knowledge about the analytics tool Covered:
SQL
Alteryx
R
Excel
Power BI
Python
Tableau
Skills acquired upon completion of the course:
Acquire knowledge of the basics behind Python programming, including variables, conditions, loops, and functions.
Familiarize yourself with terminology from the statistical lexicon, such as central tendency, correlation, dispersion, and regression. – SQL concepts like SQL command, and query universal tool in Excel.
Develop business analytics skills with the help of Excel
Understand the concepts of Python including those related to lists, dictionaries, sets, contributions, branching, classes, and objects.
Practice reading and writing files, using Pandas to work with, load, and save data, and other data-related tasks in Python.
Gain a solid understanding of data interpretation in Python by working with multi-dimensional arrays in NumPy, managing Data Frames in Pandas, and implementing machine learning with Scikit-Learn.
Possess a command knowledge of linear and non-linear regression models and be well-versed in classification techniques for the job of data analysis
Develop proficiency with clustering techniques such as K-means, DBSCAN, and hierarchical clustering.
Become acquainted with Microsoft’s Power BI analytics and visualization tools;
Acquire knowledge of the Tableau model and statistics; and discover how to create interactive dashboards.
The Available Course Modules Are:
Modules
Topics covered
Data Analytics Using Advanced Excel
Introduction to Data Handling
Data Visualization in Excel
Data Manipulation Using Functions
Data Analysis and Reporting
Overview of Dashboards
Create Dashboards in Excel- Using Pivot Controls
Data Analytics Using VBA
Introducing VBA
Key Components of Programming Language
How VBA Works With Excel
Programming Constructs in VBA
VBA Functions and Procedures: Modularizing Your Programs
Objects and Memory Management in VBA
Communicating With Your Users
Others
Data Analytics Using SQL
Basics RDBMS Concepts
Utilizing the Object Explorer
Data Based Objects Creation (DDL Commands)
Data Manipulation (DML Commands)
SQL Server Reporting Services
SQL Server Integration Services
Other
Data Analytics Using Power BI
Introduction
Data Preparation and Modelling
Keep and Remove Rows, Go to Columns, and Add, Remove
Data Analysis Expressions (DAX)
Reports Developments (Visuals in Power BI)
Data Analytics Using Python-I
Introduction to Basic Statistics
Introduction to Mathematical Foundations
Introduction to Analytics and Data Science
Python Essentials (Core)
Operations With NumPy (Numerical Python)
Overview of Pandas
Cleansing Data with Python
Data Analytics Using Python-II
Data Analysis Using Python
Basic Visualization Tools
Visualizing Geospatial Data
Data Visualization with Python
Advanced Visualization Tools
Statistical Methods and Hypothesis Testing
Data Analytics Using Tableau
Getting Started
Data Handling and Summaries – I
Data Handling and Summaries – II
Building Advanced Reports/ Maps
Table Calculations
Calculated Fields
R for Data Science
Data Importing/Exporting
Data Manipulation
Data Analysis
Data Visualization with R
Using R with Databases
Introduction to Statistics
Linear Regression: Solving Regression Problems
Testing
Data Analytics using Alteryx
Data Analytics using Alteryx
For each module of the course, the tuition fee of INR 19,900 plus taxes, is the same. According to your needs, you can choose any of the modules. The Data Analytics Master Course is priced at Rs 49900 + taxes
Solid Elements of IIM SKILLS Data Analytics Program are:
24/7 Accessibility:
These online data analysis courses provide convenient, anytime access to education, eliminating distance, traffic, and time-consuming commuting. With laptops and internet connections, students can learn data analysis with advanced interactive sessions and student-centric pedagogy.
Flexible Scheduling:
IIM SKILLS offers flexible scheduling for students, professionals, housewives, and others, offering weekday and weekend batches to accommodate diverse schedules and commitments.
Master Certification:
IIM SKILLS offers a Master’s certification in Data Analytics, enhancing employability by adding it to LinkedIn, resume, and CV, attracting potential employers.
The institute boasts exceptional faculty members with extensive experience, training professionals with subject-matter knowledge and strong pedagogical practices. They introduce fundamentals, complex ideas, tools, and helpful hints, preparing students for real-industry problems and industry secrets.
Tools:
The digital economy relies on data, speed, simplicity, and expertise. Tools and software accelerate and simplify complex procedures, bringing about real change in less time. At IIM SKILLS, learn to use top-notch data analytics tools to produce error-free work and stay ahead of competition.
Free Demos:
Before enrolling in their data analytics program, IIM SKILLS gives a free demo session to give students an overview of the course structure, methodology, and pace.
Exceptional faculty:
There are a lot of data analytics courses provided at IIM Kozhikode (Calicut). To name a few are Data Spark, Techolas Technologies Pvt Ltd, Luminar techno lab, Quickxpert, IIM Kozhikode,360digiTMG Data Analytics Course, and many more. We are going to discuss one of them in detail.
Complimentary services:
IIM SKILLS offers complimentary services like backup classes, resume preparation, interview support, and job referrals. These services are available at no extra cost, ensuring a lifelong commitment to learning. Students can access updated resource material through their LMS account and connect with mentors anytime to address career-related dilemmas.
Learning Resources:
The LMS (Learning Management System) of IIM Skills offers a vast collection of pre-session study materials, session recordings, and supplemental material. This system makes it simple to track progress, allowing monitoring and unrestricted access.
Courseware:
Courseware is an extensive collection of cutting-edge modules that address the fundamentals of data analysis with an emphasis on the what, why, when, and how. Starting with fundamental data analytics and moving on to more complex topics like Excel, Power Pivot, data structures, Power Bi, Tableau, and Python, it provides a well-balanced mix of theoretical and practical principles.
IIM Kozhikode Professional Certificate Program in Data Analytics for Business Strategy:
IIM Kozhikode’s Executive Data Analytics Program is a one-of-a-kind program that focuses on preparing professionals for leadership roles by building on their experience and innate skills through best-in-class, in-depth coursework, and real-world exposure. Professionals such as Senior Managers, Consultants, Early-Stage Professionals, Business Owners, and Entrepreneurs are targeted for this program.
IIM Kozhikode’s Data Analytics for Business Strategy program offers essential tools for real-world problem-solving, refining decision-making, and acquiring a data-driven analytical framework for critical business challenges and career advancement.
Key Highlights:
Analyze Data Analytics techniques, resources, and applications to maximize your digital marketing efforts.
Gain practical knowledge by engaging in high-impact learning via industry case studies.
One-to-one executive coaching sessions and career services sessions by the institute
Certificate by IIM Kozhikode
Following successful program completion, IIM Kozhikode Executive Alumni Status.
Improve ROI and business growth by being adept at data-driven decision-making.
Interact with notable industry professionals and eminent IIM Kozhikode faculty.
Eligibility:
The applicants should at least be graduates/Diploma Holders (only 10+2+3) from a recognized university in any discipline.
They should also have at least a year’s worth of experience
What will you learn:
To obtain a thorough understanding of the Data Analytics Expert’s position in the difficult business environment of today.
Learn about the use of predictive modeling in various fields
Find out how analytics may be applied to filter and evaluate options as well as generate new product ideas.
Discover data analytics techniques for forecasting, planning, and optimizing inventories.
Recognizing fundamental methods for data collection, R/IBM SPSS, data coding, statistics, data mining, predictive modeling, creation of product strategies, and marketing analytics.
Early-stage professionals seeking to build a career in the fields of sales, marketing, product development, and branding.
Leaders and senior Managers who wish to acquire a nuanced understanding of the applications of Data Analytics in order to fabricate superior business strategies.
CXOs, IT specialists, and consultants who aim to assist their clients in making connections between disparate data points by using the appropriate combination of strategy, insight, and data analytics.
Business owners and entrepreneurs who are committed to using data analytics tactics to drive customer-centric decision-making.
Course Modules for this Course are:
Modules
Topics Covered
Data and Sources of Data
Types of Data: Qualitative and quantitative/primary vs secondary
Employing different data collection methods across diverse business domains
Qualitative data collection techniques
Quantitative data collection techniques(survey)
Quantitative data collection techniques(experiments)
Data Analytics Fundamentals
Introduction to R/IBM SPSS
Making use of different data analytics software
Generating insights through descriptive analysis
Data cleaning through generating insights through graphics/visualization
Data coding through preliminary analysis
Understanding Statistics for Business Applications
Introduction to statistics and its applications using software
Descriptive statistics and its applications
Inferential statistics and test of hypothesis
Data Mining and Predictive modelling Algorithms for Business Data
Decision tree
Random Forest
Logistic Regression
Regression Analysis
Supervised/Unsupervised Learning Algorithms
Bagging and boosting
KNN
Data Analysis for Project Strategy Formulation
Estimating the potential volume and new product demand
Analyze profitability potential for new products
Formulating the data driven pricing strategy
Managing the products with sustainable competitive advantage
Developing product introduction strategy
Data analytics for marketing and customer analytics
Understanding customer lifetime value
Managing customer loyalty
Expected profitability of newly acquired customers
Recency, frequency and monetary value (RFM) of customers
Predicting customer churn
Improving customer satisfaction through data-driven insights
Customer level purchase information for customer retention
Data Analysis for Financial Decisions
Financial Modelling and Prediction
Stock Price Forecasting
Data Analysis for Financial Strategy Formulation
Fundamentals of Finance and Financial Analytics
Data Analysis for Digital/social media
Campaign Optimization
Text mining for Business insights
Publisher Optimization
Deciding the media strategy
Publisher optimization
Data analytics for operations and Supply Chain (Emeritus faculty)
An introduction to supply chain and operations metrics
Analytics for Inventory Optimization
Demand analytics for Planning and Forecasting
Prescriptive Analytics for Network Design and Planning
Data Analytics for HRM
Evolution of HR Analytics
Optimizing Hiring strategies using data driven insights
HR cost and attrition prediction
Analytics for Talent Management
Predicting performance appraisals using inferential statistics
Important Points:
While the IIM Skills Data Analytics course is available to everyone, the IIM IIM Kozhikode Data Analytics course is exclusively open to Indian residents.
While IIM Kozhikode does not promise or guarantee a job or advancement in your profession, IIM Skills Data Analytics Course guarantees 100% placement aid and job support.
Frequently Asked Questions Regarding IIM SKILLS vs IIM Kozhikode Data Analytics Course:
Q1. Which businesses in the data analytics sector are available for employment?
The data analytics industry is very diverse, and you can work in related industries including,
Logistics and Transport
Education
Entertainment and Media
Health and Fitness
Finance
Marketing
Retail
Q2. Why is it advantageous to be a data analyst?
Data analysts frequently have a mix of SKILLS, including technical proficiency, excellent communication, and leadership traits. Because of this, professions in data analysis provide workers with a wide range of employment options, a high potential for financial reward, and thrilling leadership positions with the ability to influence the future.
Q3. What are the most important qualifications for a data analyst?
Ability to analyze
Critical Thinking: Data analysts are frequently tasked by businesses with both data collection and data interpretation for a particular purpose.
Problem-solving. Technical problems are frequently encountered by data analysts while performing their tasks.
Statistics.
Detail-oriented work.
Domain expertise
Concluding Thoughts on IIM SKILLS vs IIM Kozhikode Data Analytics Course
The vital discipline of data analytics entails the analysis, interpretation, and visualization of data in order to derive insightful conclusions and make deft judgments. Learning data analytics has become extremely advantageous for people looking to stay competitive in the job market and spur corporate growth due to the rising demand for data-driven initiatives across a variety of industries.
Ultimately, the topic of data analytics is one that is tremendously intriguing. The way business is conducted around the world is changing as a result of this cross-disciplinary field, which relies on statistical analysis of massive volumes of data.
I hope the courses I’ve described above will be useful to you as you choose a data analytics course to pursue and develop your career.
We live in a data-driven world where data is now more valuable than ever. With the rise of digitalization, these data are being processed to benefit almost every sector. For the smooth functionality of any business institution, systematic research on corresponding data is conducted by an expert. There are different ways through which this research is carried out by experts or data scientists. Data analytics vs Data mining- the two distinct streams of processing data fall under the same umbrella of Business Intelligence.
Depending on these two methods, a specialist can comprehend valuable data and provide insights to the business organization. Consequently, it helps the business grow by making the right decision in future plans and investments. In this way, when a company becomes assured about its performance in today’s competitive market, it gets a lot of scope in satisfying customers and earning better profit.
Why is It Important to Know the Difference Between Data Analytics and Data Mining?
There’s one similarity between Data analytics vs Data mining- both are parts of Business Intelligence. Other than that, these two have a lot of differences between them. Whereas data mining helps us to understand the pattern of collected information, data analytics goes further to organize that dataset to determine crucial decisions.
The terms Data analytics vs data mining are often used interchangeably, but that is absolutely incorrect. Yes, they are related since data mining is a part of data analytics. The two have different methods and goals.
Data mining, a subset of data analytics, includes tracking patterns, association, classification, detection, etc. Data analytics is a prolonged process that entails statistics, mathematics, and operating systems. Thus the multidisciplinary subject data analytics makes evident use of the findings from data mining.
Therefore, while understanding the minutes of data studies, it is obviously worth understanding the main differences between data analytics and data mining. For a reader who is a novice in this field, both of the topics data analytics vs data mining are individually discussed below for a clear understanding of their differences.
Data Analytics is a broad field of data collection, inspection, and transformation of data to create useful information and discover solutions. This vast field extensively relies on the application of OR (Operations Research), Statistics, and Computer Programming to draw effective conclusions.
With these tools, an analyst gathers valuable information from previous performances; and studies them to establish the most reliable decision. In this era of social media and exclusive usage of search engines, data is spread all over the world.
Honing proper analytical skills, one can dig into this ocean of available information to understand the affinity of the generation.
This results in understanding the customer in every sector, providing them with the best available facilities. Thus a data expert helps you to understand the trends, reveal opportunities, and provide concrete decisions.
Data Analytics comprises many subjects like Machine Learning, Data Science, Applied Statistics, etc. Data Analysis is often confused and misunderstood with Data Analytics.
It should be noted that Data Analysis is one of the subsets of Data Analytics and Data Analysis consists of cleaning, modeling, transforming, and questioning the data.
Data requirement: The first step in the data analytics process is to decide what type of data you need for your analysis and then proceed to gather them.
Data collection: Once you are convinced of your requirement, you have to look for the sources to avail the data. There are various sources like questionnaires, case studies, direct observation, surveys, etc.
Data cleaning: Before sending the data for analysis, it is important to sort out the necessary data. This will clean up duplicate records or data having any kind of error. This is a mandatory step in organizing useful data.
Data analysis: A number of tools and software for data analysis are available in the market to help you process or analyze the relevant information. Some examples of such tools are – Rapid Miner, Chartio, Redash, Metabase, Excel, R, Looker, etc.
Data interpretation: Once the data are processed using the mentioned tools, it is time to interpret the result and move towards making the most solvent decision using that.
Data visualization: Next is the time for presenting the insights graphically so that it is understandable for everyone. It helps people to read the datasets and compare the results with others. Some popular methods of visualization are – graphs, charts, pie charts, maps, bullet points, etc.
Data Mining, also referred to as Knowledge Discovery in Data (KDD) is the process of sorting valuable data from vast data sets. With the help of advanced analytics tools and techniques, help businesses predict future patterns and make the most suitable decisions.
Data mining is an important part of Data Science that uses advanced Data Analytics techniques to transform valuable information into creating business planning and strategy. The information it gathers can also be used in Business Intelligence (BI).
In this way, Data Mining not only scrutinizes the historical data but also examines the currently streaming data. Effective Data Mining supports planning business strategies and implementing them. Beginning with marketing, sales, customer support, advertising, manufacturing, etc, Data Mining aids in operating finance and HR.
Even critical cases like fraud detention, security breaches, and risk management, etc are also benefitted by Data Mining. In this way, Data Mining affects not only business but healthcare, government, sports, etc.
Data Mining techniques basically work on two different levels. On one hand, it describes the target dataset. On the other, it predicts the consequences using a machine learning algorithm. In these ways, it surfaces the most important information, filters, and organizes them to create valuable results.
The task of a data scientist is to identify outliers through regression and classification methods. He or she is responsible for extracting necessary information, and collecting and visualizing data for concrete decision-making of the institution.
Check here the top-ranked data analytics courses to get a high-paying job:
Stored data in a database: This is also called a database management system (DBMS). Every data stored in the database is related. Software programs manage these data and help to access them hassle-free. These data are mainly of three types, e.g., shared, distributed, and concurrent data. All these data are stored securely by the software programs.
Data warehouse: This is a single data storage that gathers data from different sources. The collected data then go through the process of cleaning, integration, loading, and refreshing. After that, the data are stored in a unified plan.
Transactional data: Every single online transaction has a unique ID. For example, flight booking, online shopping, and even a click on a website – all these transactions are stored in the database and help in the data mining process.
Others: There are many other varieties of data, like engineering data, multimedia data, data streams, spatial data, etc.
Process of Data Mining
The complete process of data mining follows the below-mentioned four steps-
Setting of business objectives: This is the foundation of the whole data mining process and is considered the most important one. Business stakeholders should work with the data mining expert to chalk out the main motives and achievable goals of the business. For the data scientist, this can be the hardest part demanding extra time and research to understand the business objectives. After the research, the target should be set by the expert and the same must be sanctioned by the company.
Preparation of data: Once the goal is marked then it becomes easier to chalk out the plan of data mining. The data scientist will then identify the particular information that will be able to answer the pertinent question to the business. These relevant data are then sorted and cleaned. In this step, all types of noises- e.g., missing values, outliers, and duplicates are removed. If the sorted data contains too many dimensions, then it is again calculated and cut down to only useful predictors, otherwise, too many dimensions may slow down the process of achieving accuracy.
Model building and pattern mining: Depending on the nature of the collected data, they are modeled with data relationships, such as correlation, sequential pattern, etc. A deep Learning Algorithm may be implemented in this step.
Evaluation and implementation: The finalized data become ready to be evaluated. If the result meets with the desired output, the dataset is used as a dependable predictor to guide the business with the best knowledge and plan for the future.
Data Analytics Vs Data Mining- the Key Differences Explained
1 Types:
Data analytics is of four distinct types, they are-
Descriptive analytics: This uses historical data and uses simple mathematical tools like spreadsheets.
Predictive analytics: This uses statistical analysis along with Artificial Intelligence to identify possible results.
Diagnostic analytics: Using machine learning, this digs into historical data to understand patterns and correlations (if any) of data.
Prescriptive analytics: This uses machine learning and artificial intelligence to help businesses in ultimate business-making. This is the most complex type of data analytics.
The main types of Data mining are-
Pictorial data mining: This transforms collected heterogeneous data into pictorial presentation. It helps in power plant monitoring, flight control, etc.
Text mining: This extracts high-quality data from different written texts through a computer. Through statistical pattern learning, data is derived from written texts such as websites, reviews, books, etc.
Social media mining: More often than not, this data mining is used in traditional or digital marketing. Valuable data is derived from user-generated content in social media and mobile applications to understand and categorize the user.
Web mining: in this process, useful data is automatically derived from web searches and restored from the World Wide Web. The result is used in e-commerce, content analysis, health care services, etc.
Audio and video mining: Multimedia or audio-visual is very accessible nowadays. From this video, huge data sets are extracted and then applied in the fields of security, entertainment, education, and medicine.
2 Tools:
There is no single tool that can address all data analytics or data mining tasks. If you can find one tool that satisfies most of your needs, there must be a secondary tool for some other tasks left.
The tools essential for data analytics are-
Microsoft Excel, Python, R, Jupiter Notebook, Apache Spark, SAS, Tableau, KNIME, etc.
Let us now highlight the different methods in both data analytics vs data mining-
Some of the most used methods for data analytics are-
Cluster Analytics- This is the process of finding objects of similar groups to form clusters. This algorithm is based on machine- learning and works on unlabelled data. Clustering can be done in different ways, such as – density-based, constraint-based, distribution-based, centroid-based, etc
Cohort Analysis- This is behavioral analytics that categorizes data in a data set into cohorts or groups that share the same traits or behavior. By analyzing, the cohorts can understand well about their attitudes and choices.
Regression Analysis- This method is used to realize the relationship between two or more variables. The result is presented in a graph through independent and dependent variables.
Segmentation Analysis- In this method, users or products are divided into different groups to deliver customized advertising, brand positioning, etc.
Time series Analysis- This method is useful for non-stationary data, that is, data that fluctuates over time. Industries like retail and finance make use of this method.
Data Mining methods are-
Association: In this method of data mining, the co-occurrence of associated items is found in a collection. For example, when a shopper puts different items in a basket, it is possible to recommend some other associated items.
Classification: Through classification, we assign a class label to each item in a dataset. Classification is of two types- binary classification and multi-class classification.
Clustering Analysis: It is the process of grouping similar objects into one cluster. For, at first, the partition of data is made and then the label of the group is assigned according to their distinguishing features.
Prediction: By processing input datasets, the numerical output is generated through an algorithm. Unlike classification, this numerical output does not contain any label.
Decision trees: This structure contains root nodes, branches, and leaf nodes. The internal node denotes tests, the branch denotes the outcome of the test, and the leaf node denotes a class label.
4 Subject-matter expertise:
In data mining the following skills are quintessential-
Knowledge of Linux:
The idea about a programming language:
Knowledge of essential tools:
For data analytics, the below-mentioned prerequisites are needed-
Learning of data visualization tools:
Knowledge of programming language:
Probability:
Econometrics:
Programming language:
5 Hypothesis- testing:
A hypothesis is a supposition made with limited evidence and needs further investigation to be approved.
Data analytics heavily depends on the hypothesis that gives information to be tested. For that matter, it even tests on the results derived from data mining.
The data mining expert does not need to conduct a hypothesis. He comprises the collected data or discoveries in a mathematical or statistical.
6 Skills Required:
The different skills required for data analytics vs data mining are discussed below.
Data analytics skills:
Probability and statistics: These two are the founding pillars of data analytics. Using these skills, an analyst estimates value for further research. The statistical approach is mainly based on probability.
Data visualization: In data analytics, it is very important to visualize the outcome through charts, graphs, etc. This visual representation demonstrates the complicated result in a simpler way so that all the stakeholders understand and can take decisions relying on them. One common visualizing tool is Tableau.
Programming language: There are some very useful programming languages to make the analyst’s task smoother. Beginning with Excel, he can hone his knowledge of programming languages like R, Python, etc.
Econometrics: It is a branch of economics that deals with statistical and mathematical models. With the knowledge of econometrics, the analyst can foresee future trends and make better predictions.
Data Mining skills:
§ Programming language: A set of programming languages used for data mining. They are- JAVA, Matlab, SQL, Python, R, etc. Depending on the dataset one working with, a particular program is selected. However, the most common of them are Python and R.
Data processing frameworks: These frameworks extract insights from large datasets. Some of the most implemented frameworks are Hadoop, Spark, etc.
Operating system: Linux is the most popular OS for the data mining process.
Database knowledge: To process the large dataset, one must have knowledge of Relational databases (SQL, Oracle) and non-relational databases (Document, MongoDB, Cassandra, etc.)
7 Size of the Team:
Data analytics is a lengthy process that usually requires a group of people. This team will ask questions, draw patterns of responses and reach a conclusion. Although machine learning, Artificial Intelligence, etc. are used in this process, the lengthy process requires human involvement.
Data mining can be conducted by a single person also. With the right technological skills and knowledge of software, he will write down the data findings.
Frequently Asked Questions on Data Analytics vs Data Mining
1 Which is more in demand – Data Analytics vs Data Mining?
Data analytics help in making hypotheses whereas data mining makes data useable. So, both of them have different fields of application. As data scientists are currently ruling the world with new-age science and technology, there is a dearth of experts in both. None of the above-discussed streams are conventional stereotypical subjects to have huge competition and lots of competitors. So, one has only to hone their capability to be hired by big companies.
2 In brief, what is the main difference between Data Analytics vs Data Mining?
Data mining is a step in the complicated process of data analytics. This step focuses on scientific and systematic methods of data collection and then, deriving insights from those data. Data analytics goes on further by using those data to create hypotheses and build models on that.
3 Name four main models that are used in Data Analytics.
The four main models for data analytics are –
Descriptive
2 Diagnostic
3 Predictive
4 prescriptive
4 Write about two useful models used in Data Mining.
1 Predictive model / Statistical Regression: As the title says, through this model, data are converted to form predictions about the future performances of the company.
2 Descriptive model: In this model of data mining, data are described in a readable format. It extracts from the stored data and creates reports by monitoring them.
5 Data Analytics vs Data Mining- write some applications of each.
Application of data analytics:
Data analysts can help strengthen security by supplying valuable data on crimes to police. Geographical and historical data analysis of a particular crime-driven area helps in locating such spots and eventually necessary action can be taken.
Application of data mining:
Data mining applications can help in business revenue by investing capital in an efficient way. The sale of a particular item at a particular time of the day can be researched using data mining techniques. The production and availability of that particular item will help in better revenue for the business.
Conclusion: Data Analytics vs Data Mining
With the wide usage of computers research on data has taken a leap. Although the two terms data analytics vs data mining – are often used interchangeably, the above description points out their distinction. On one hand, these differ in implementation. On the other, the experts in the two fields require different skills. With the sheer power of computers, experts are playing with data to explore more in this field. Between data analytics vs data mining, whichever side you may choose, the above details enlighten you to appreciate the importance of the other. The data-driven 21st century needs mindsets with a knack for coding to make a revolution. So, this was the guide to data analytics vs data mining.
Post the year 2000, companies are shifting from traditional business practices to virtual business and social media. This is evident from the fact that in 2020 the Data Analytics market share was $ 271.83 billion, which is forecasted to grow to $745.15 billion by 2030. The 23% growth by 2030 predicts an increasing demand for Data Analysts, but with exceptional skills and expertise. For an aspiring candidate, a course is the best way to stand out in the crowd. In this article, we present a brief overview of the IIM Skills Vs Manipal Data Analytics Course for your perusal.
Introduction to Data Analytics- Its Importance
Post-2000 with the widespread usage of the Internet, social media, and Internet of Things(IoT) devices, the business models of companies have majorly shifted to virtual business and social media promotions. It is estimated that by 2025 there would be 152,200 IoT devices getting connected to the internet every minute. This is an indication of the humongous amount of data that will be generated.
In the present business scenario, the customer outlook is also changing, as now customers want faster solutions and better innovations at a faster pace. Due to this reason, companies are looking for techniques that can give results in real-time, enabling them to take informed business decisions at a much faster pace.
Data Analytics has paved the way for businesses to manage, simplify, and process large datasets in real-time, exploring trends and variations which were unheard of in the yesteryears. Social Media Analytics is helping companies better manage their advertising campaigns, promotions, brand events, and product innovations in an optimized and targeted manner. Text Analytics and Natural Language Programs (NLP) are helping the customer care industries, political industry, and others understand customer sentiments. Data Analytics is contributing majorly toward the innovation of new products.
Not only are product-based companies and advertising companies benefitting from them, but the following industries also have a prevalent dependency on Data Analytics:
Banking, Finance, and Insurance
Media and Entertainment
Retail
Healthcare
Telecommunication
Automotive Industry
Cyber Security
And Oil and Gas Extraction companies
Roles and Responsibilities of a Data Analyst
The primary goal of Data Analysts are to combine their expertise in technology, business domain, and market trends to help businesses grow and succeed. The following are the primary responsibilities that the role of a Data Analyst demands:
The first important responsibility of a Data Analyst is to extract data from various sources like numbers, texts, and written and spoken opinions, and transform the data into manageable sets, and then load the data into modeling techniques. This is known as Data Mining.
A Data Analyst has to not only manage the database, but also interpret the trends and variations, and use different tools, and modeling methods to analyze and present reports of the findings in a comprehendible manner.
Data Analyst has to develop an efficient database management system or warehousing. They have to develop strategies that optimize the efficiency and quality of the database results. They should be able to analyze and rectify any anomalies in the techniques to arrive at better and correct outcomes.
Data Analyst has to identify new sources of data generated by the company to look into areas not identified earlier.
Data Analysts have to devise methods to link different data sets.
A Data Analyst must be creative in terms of finding opportunities to innovate and implement new processes and improve the existing processes.
A Data Analyst has to have excellent analytical abilities to identify, analyze, and interpret the different patterns and variables in the database.
A Data Analyst has to create meaningful insights from the trends and patterns with the help of Machine Learning and statistical models.
The main responsibility of a Data Analyst is excellent communication skills which are required for generating reports and making presentations in a comprehendible manner, such that clients, stakeholders, and company members from non-technical backgrounds can understand the main objective of the analysis.
A Data Analyst also has to work in coordination with the management team in order to assist in prioritizing business needs and relaying critical information.
As we have already defined the expected roles and responsibilities of a Data Analyst, now we come to focus on the required skill sets in which a student should excel, in order to acquire the required expertise and gain an edge over the other aspirants. When one looks at IIM Skills Vs Manipal Data Analytics Course or any other Data Analytics course run by other institutes, these are extensively covered. Here is a list of the prerequisite skills for a Data Analyst:
Domain Knowledge: A Data Analyst should be aware of the particular industry domain in which he/she is working for or is interested to shape a career in. This helps in understanding the dataset properly. The domain knowledge helps in understanding the goals and objectives of the analysis of big data more precisely.
Attention to Detail: A Data Analyst has to be vigilant and highly observant of the data management system. Any unprecedented deviations or even small mistakes in the data can result in wrong interpretations which can adversely affect the business decisions.
Research: A Data Analyst should be properly updated with the latest market trends, technologies, and new innovations. Extensive research is the main key to being aligned with the current business scenario.
Writing and Communication: A Data Analyst with highly efficient analytical skills, yet who cannot communicate efficiently has very less chance of growing in the industry. As the results of the analysis are to be informed in either written reports or presented through graphs, charts, and other modes of Data Visualization tools, Data Analysts should be adept at delivering the objective of the analysis in a crisp, clear, and easy language.
Problem-Solving and Innovative: Data Analysis is prevalent in the industry as the results are obtained in real-time. At the same time, one can face problems that also need solutions in real-time and fast to avoid escalations. Thus, a Data Analyst needs to be fast in envisioning solutions to problems being faced. They need to be creative in envisaging new solutions.
Structured Query Learning (SQL): A Data Analyst has to process large data sets which require the knowledge and expertise of SQL which is a standard database language. It helps in collecting specific data and updating the database.
Machine Learning: Artificial Intelligence has been the reason for a plethora of important developments in Data Analytics. Machine Learning is also a part of it where a Data Analyst has to build algorithms that are more precise and more advanced.
IIM Skills Vs Manipal Data Analytics Course- A Brief Overview
In today’s business scenario, although there is a high demand for Data Analysts, yet companies prefer candidates who know the current industry trends and have an extra edge over others with expertise in the domain of Data Analysis. IIM Skills Vs Manipal Data Analytics Course are two such leaders in the data analytics training field, imparting training such that it ensures the overall development of the students. Although there are a plethora of institutions providing Data Analytics Courses, here is a brief look at the IIM Skills Vs Manipal Data Analytics Course details:
IIM Skills Vs Manipal – A Profile
Before starting the journey of understanding the advantages and strengths of IIM Skills Vs Manipal Data Analytics Course, here is a brief look at the background of both leaders:
IIM Skills: IIM Skills laid its foundation in 2015 as an online content writer course educator. The course became a big success and when the number of views that the course garnered crossed a million, that made the institute foray into teaching other subjects like Digital Marketing, Finance, Investment Banking, Business Accounting, Artificial Intelligence, Machine Learning, and other subjects. They are present in 23 cities in India. In Asia, their offices are in Dubai and Singapore. They have to date trained more than 35000 students locally and globally and have already conducted more than 9500 training batches.
Manipal Institute of Technology: Manipal Institute of Technology was established in 1957. It is ranked No.6 in India by Education World India. It is ranked at 283 Best Universities by QS World University Ranking in Asia.The institute has more than 2,50,000 students enrolled. They have 5 campuses one in Dubai and one in Malaysia. In 2000 they became a Deemed University – Manipal Academy of Higher Education ( MAHE). They conduct full-time, part-time, online, classroom teaching courses and research programs. Their research programs are supported by AICTE, DST, CSIR, and the Ministry of Environmental Science. They are recognized as an A+ category institute by MHRD.
IIM Skills Vs Manipal Data Analytics Course Fees and Eligibility Criteria:
The IIM Skills Vs Manipal Data Analytics Course has different criteria for enrollment in their course, which are as follows:
IIM Skills
Manipal Institute
Duration
6 months
9 months
Mode
Online
Online
Fees
Rs.49900
Rs. 1,50,000 with Placement Guarantee
Rs. 1,20,000 with Placement Assistance
Eligibility Criteria
Bachelors Degree
Knowledge of mathematics, statistics, and computers
Graduate Degree from a recognized University or College with either Mathematics, Statistics, and Programming as a subject
IIM Skills Vs Manipal Data Analytics Course Syllabus:
An all-inclusive course ensures that the student is ready to face the challenges of the real world market. While all institutes have their own set curriculum, here is a brief look at the topics covered in the curriculum:
IIM Skills
Manipal Institute
Data Analytics Using Advance Excel:
Introduction to Data Handling
Data Visualization in Excel
Data Manipulation Using Functions
Data Analysis and Reporting
Overview of Dashboards
Create Dashboards in Excel- Using Pivot Control
Module 0:
Microsoft Excel Advanced
Data Analytics Using VBA
Introducing VBA
Key Components of Programming Language
How VBA works with Excel
Programming constructs in VBA
Functions and Procedures in VBA
Objects and Memory Management in VBA
Communicating with your Users
Module 1– Python Programming
Basics of Python
Python Core Data Structures
Functions, Modules, & Object Oriented Programming
Exception Handling, FILE, Input/Output
NumPy
Introductuions and Operations in Pandas
Data Analytics Using SQL
Basic RDBMS Concepts
Utilising the Object Explorer
Data Based Objects Creation(DDL Commands)
Data Manipulation (DML Commands)
SQL Server Reporting Services
SQL Server Integration
Module 2-Database management & SQL:
Introduction and Installations in SQL
DDL & DML Statements
Databases & Tables
Aggregate Functions
Joins & Set Operations
Sub Quesries, Operators & Derived Tables in SQL
Stored Procedures and Triggers in SQL
Data Analytics Using Power BI
Introduction
Data Preparation and Modelling
Keep and Remove Rows, add and remove Go To Columns
Data Analysis Expressions (DAX)_
Reports Development (Visuals in Power BI)
Module 3- Statistical Techniques and Data Science:
Introduction to Statistics & Linear Algebra
Probability
Sampling & Estimation
Testing of Hypothesis
Data Analytics Using Python 1
Introduction to Basic Statistics
Introduction to Mathematical Foundation
Introduction to Analytics and Data Science
Python Essentials (Core)
Operations with NumPy
Overview of Pandas
Cleansing Data with Python
Module 4- EDA & Feature Engineering :
Introduction to Exploratory Data Analysis
Uni. Bi & Multi variate Analysis
Missing & outliers treatment
Scaling & Encoding Techniques
Feature Engineering
Data Analytics Using Python 2
Data Analytics Using Python
Basic Visualization Tools
Visualization Geospatial Data
Data Visualization with Python
Advanced Visualization Tools
Statistical Methods and Hypothesis Testing
Data Analytics Using TABLEAU
Introduction
Data Handling and Summaries
Building Advanced Reports/Maps
Table Calculations
Calculated Fields
Module 5- Data Visualization and Business Intelligence:
IIM Skills Vs Manipal Data Analytics Course Tools:
Both the training leaders ensure that the latest tools and technologies are a part of their curriculum, although few tools in the IIM Skills Vs Manipal Data Analytics Course vary, here is the list of the tools learnt in one glance
IIM Skills
Manipal
Excel
Power BI
Pyhton
TABLEAu
ALTRYX
SQL
R
Python
Keras
Apache Spark
Pandas
TensorFlow
SQL
Matplotlib
NumPy
Tableau
Power BI
Hive
IIM Skills Vs Manipal Data Analytics Course Certificate:
IIM Skills: The certificate presented by IIM Skills for Data Analytics Course is recognized by Ministry of Micro, Small and Medium Industries( MSME).
Manipal Institute: The Certificate is awarded by Manipal Institute of Technology.
IIM Skills Vs Manipal Data Analytics Course Features:
IIM Skills and Manipal Institute are both forefront runners in the top position in the list of top institutes offering Data Analytics courses. In this section we have listed a few strong points of the IIM Skills Vs Manipal Data Analytics Course, which is not a comparison, but an attempt to highlight the strengths of both the institute’s courses:
IIM Skills:
The course offered by IIM Skills is well known due to the following strengths:
The training includes approximately 10 case studies and 7 live projects with renowned industries in different domains.
The institute offers the students a choice to join an internship program for 2 months. The main objective of the internship being imparting practical knowledge of theories learned in the classroom, where they learn to be creative and enhance their problem-solving abilities. This is to ensure students are technically groomed to step into the real world efficiently..
The institute has many mentors hailing from different domains with expertise ranging to many years, imparting guidance and assistance to the students.
The Learning Management System(LMS) gives access to the students for life to all their study material, session recordings, and tips and techniques about the tools.
The institute offers assistance in building a strong portfolio, an impressive resume that is job worthy, and full placement support.
Manipal Institute:
Manipal Institute needs not many words to showcase its strengths, as the institute is well renowned all across the globe, yet a few highlights of the course are as follows:
The course has 7 intensive micro projects conducted at the end of modules to help students understand the practical application of the subjects taught.
The tools and techniques taught in the course are the ones that are used in the current industry domain.
The option of electives ensures students gain additional expertise and gives them a better competitive edge while looking for placement opportunities.
The trainers are industry experts with more than 10 years of experience and are active in well renowned companies.
The institute conducts webinars and sessions with industry veterans.
The institute helps the students not only in building a strong portfolio and resume but also teaches them LinkedIn profile visibility management. They give options of choosing for guaranteed placements and assistance in placements, although with a few conditions.
In conclusion, in the present education scenario there are diverse institutions offering courses to aspiring candidates, aiming to step into the world of Data Analytics. A Data Analytics course is recommended to candidates to help them give an edge before stepping into the highly competitive business scenario. In this IIM Skills Vs Manipal Data Analytics Course article we have not aimed at any comparison but dwelled on the strengths of the course offered by each institute.
IIM Skills has a complete package of renowned faculty members, a diligent course curriculum, and an affiliation with the industry. An exhaustive approach in the training emphasizes more on a practical approach by completing many projects and assignments, that are taken from real-world examples.
Manipal Institute is a prestigious institution that conducts an exhaustive and well laid out course to give a prestigious learning experience to the students. Their curriculum is designed such as to be well balanced and in alignment with the current industry trends.
Finally investing in good education always pays off handsomely going forward for an entire lifetime. Whether it is IIM Skills Manipal Institutes Data Analytics Course or any other Data Analysis course, investing in one is always good. As companies are investing more in data driven technologies, parallelly the growth in the demand for experts is rising and will continue for a long period of time.
FAQs
Q. What is a Data Analytics Course and why is it important?
A Data Analytics Course is a comprehensive educational program, designed to equip the students with the necessary skills and techniques required in analyzing and interpreting huge amounts of raw data generated by companies. The course helps in getting trained for the tools and techniques required for interpreting insights. They train students how to effectively present the insights to the stakeholders and members of the company to assist them in making informed decisions related to the business.
Q. What skills are taught in a Data Analytics Course?
In a Data Analytics course students are trained to handle technical skills and soft skills that are designed to analyze and interpret big data. The technical skills are statistical analysis, Data Visualization, Data cleaning and preparation, programming languages, database warehousing, data mining, machine learning, Big Data Technologies, domain knowledge, and project management. In soft skills, the students are trained in communication skills.
Q. How can a Data Analytics Course help in future career prospects?
An extensive, all-inclusive, and comprehensive Data Analytics course teaches the skills which are used in the current data analytics industry. It gives students a competitive edge and sharpens their problem solving abilities. The course gives extensive domain knowledge to the students which is beneficial when appearing for placements. Additionally, a Data Analytics course helps students who are freshers gain better job prospects, for working professionals a higher earning potential, a change in the domain, and better chances for promotions. It imparts a deep understanding of the roles and responsibilities of a Data Analyst. Since the courses are modified according to the prevalent practices in the industry, thus, it helps students train in the relevant tools. A course enrollment also gives access to networking with the alumni.
