We live in the 21st century. The world around us is constantly changing and data has become unquestionably the most valuable asset. Data is essentially the information that is stored or transmitted electronically. Everything we see on computers and the web from YouTube to Google searches to emails to Excel sheets is a form of data. It is essential for everyone be it individuals, businesses, or governments and the demand for data is rising exponentially. This article is a guide to data analytics in project management. Must read to gain in-depth knowledge about it.
Most of the Business decisions are taken based on data and we just can’t get enough of it. It is widely believed that future wars will be fought over data and with the help of data, but raw data is like raw food, it’s not of much use unless we perform some actions on it.
In itself is just a set of numbers or words and to make sense of it we need to analyze and evaluate it so that raw data becomes useful and actionable information and this is done with the help of data analytics.
Data analytics is the process of collecting, evaluating, processing, and analyzing data to find correlations, trends, and insights that can be translated into informed decisions.
It is important for organizations to understand the effectiveness of their past decisions in terms of measurable or quantifiable indicators as well as help them to understand consumer behavior in a better manner. It essentially provides scientific backing behind a decision. Data Analytics usually involves the following steps:
Define the Question-Defining the questions means deciding on what exactly one wants to know. It is very important as it gives direction to the whole process of data analytics.
Data Collection– Data collection involves gathering data from online platforms, online surveys, Excel sheets, and databases. It is necessary to make sure that data is relevant in relation to the questions the organization aims to explore with the help of data analysis as the kind of data used will have a direct bearing on the conclusions.
Cleaning the Data-Cleaning of data is making data accurate and free from errors. This process involves looking for missing values, removing inconsistent values, getting rid of duplicate values, identifying superfluous data, and deleting it. The Cleaning of data is essential if want to get credible results.
Analyse Data– This step involves the use of various techniques and statistical tools to explore and understand the data in a more cohesive manner.
Data Visualization– After analyzing the data, the data is presented in visual forms such as pie charts, bar graphs, and dashboards. Data visualization helps in sharing large amounts of complex data into easily interpretable information.
Data Interpretation and Decision Making-Data Interpretation involves reviewing the data. It helps in understanding patterns, trends, and inter-relation between different variables so that concrete conclusions can be drawn from the data and effective decisions can be taken.
Before we understand the use of data analytics in project management, let us first understand what is meant by project management. Project management is a process through which the project goals are achieved with the available resources.
It involves detailed planning and effective allocation of company resources with the goal of solving the problem within the given deadline. Project Management is done in the following steps.
Project Definition– It defines the scope of the project and determines its objectives and limitations. The project definition should meet the expectations of all the stakeholders such as the client, the company, and the employees.
Project Planning– it involves a wide range of activities such as budgeting, scheduling, organizing, and distributing work. The roles of different individuals are defined and milestones are set.
Resource Management– It involves allocating and managing resources to achieve objectives set in the project definition. It is a very important part of project management as the resources are scarce most of the time and there is a need to make optimum utilization of resources to meet project management goals.
Risk Management– Risk Management deals with figuring out and analyzing the potential risks associated with the project and also providing a roadmap to deal with such risks. There are different types of risks associated with a project such as financial risks, operational risks, or market risks. Risk management helps in developing strategies that will reduce as well as hedge the risks the project is exposed to.
Project Execution– Project execution is the most important step in the project management process. It involves rolling out the project. It involves coordinating the team, monitoring progress, and coming up with solutions to meet the project objectives. Effective planning can help in smooth project execution.
Communication and Stakeholder Management– Communication is the key to the successful implementation of any project. It is necessary to have an unhindered and clear flow of information to team members so that they understand their roles and execute the project properly. Clients should also get timely information about the progress of the project and milestones achieved so that they can suggest changes if they require any.
Quality Management– Quality Management deals with maintaining standards in terms of project delivery. The quality could be assessed in the form of certain predefined criteria and regular quality checks to make sure that the quality of the project is not compromised.
Project Closure-It is associated with the completion of the project which usually aligns with achieving objectives that are set out in the project definition. It also involves the evaluation of problems that were faced during the implementation of the project.
The project Management process involves interpreting and analyzing data for different objectives such as risk management, project execution, and Quality Management.
Data Analytics can be used to break down complex data with the help of charts and graphs and uncover new patterns that can help in understanding the behavior of different variables thus data analytics becomes the bedrock of project management. Data Analytics is used in project management in the following ways:
Visualization-Data Analytics is of great use to project managers as it helps in simplifying complex and large amounts of data into easily understandable visual representations. It becomes easier to identify patterns with the help of visual representation as compared to identifying them on data tables.
Different types of visual representation tools are used for different types of data for example, Bar charts are used for discrete values such as expenditure by customers whereas line charts are usually used for showing data over a period of time.
Performance Monitoring-Data Analytics plays a key role in enabling the stakeholders to monitor the performance of the project. Data analytics helps in figuring out the key variables that are essential in meeting the goals set in terms of Key Performance Indicators (KPIs) so the performance can be measured in a quantifiable manner and corrective action can be taken in the areas the performance is lagging.
Risk Management– Data Analytics has a special role when it comes to assessing and mitigating risks. Data analytics can be used for risk identification, risk assessment, risk mitigation, and risk monitoring by analyzing large sets of historical data and identifying patterns that are leading to an increase in risks.
For example, In the financial industry Income data of past customers could be analyzed to identify the customers who could default on their loans.
Check here the top-ranked data analytics courses to get a high-paying job:
Resource Optimization– Data Analytics plays a key part in resource optimization as resource optimization is one of the most important goals for any project manager. Data Analytics can be used to find out the areas where resources are not fully utilized and any bottlenecks that are occurring such data can be used for making more efficient policies.
It can also be used for predicting demand so that inventory and working capital are managed accordingly. For example, Bar charts are used for representing discrete values whereas.
Forecasting and Planning-Forecasting is one area where data analytics plays a key role with the use of tools such as Time series analysis. Time series analysis to find out patterns in historical data about sales or inventory and thus make informed decisions. Machine learning algorithms could be used to identify patterns in data and identifying such patterns will provide vital information in planning.
Tracking Progress– Data analytics is very important in tracking the progress of the project by using the data analytics to identify the main milestones and Key performance indicators (KPIs), Continuous tracking of these milestones will give insights that could be vital inputs in taking corrective action if required.
Stakeholder Management– For any type of project there are different kinds of stakeholders such as customers/clients, the company’s management, and the team members.
Data Analytics makes it easier for each one of them to track timely developments in the project and take a logical course of action. For Example, Data regarding the performance of team members could be analyzed and tasks could be given according to their efficiency in different areas.
Prescriptive Analysis-Descriptive analysis uses past data to identify recurring patterns and general trends whereas predictive analysis is used to predict future performance with the help of data.
Prescriptive analysis uses both descriptive and predictive analysis and goes beyond just finding trends and aims to suggest the best course of action for the project manager thus making the decision-making process a lot less complex.
Managing Project Portfolios-Data Analytics can be very useful for project managers when they are dealing with multiple projects at the same time. Data analytics will make it easier for the managers to identify the projects that are lagging behind in deliverables so a project manager can divert more resources and time to such projects analyzing data from the different projects will also help in identifying trends and the kinds of project that require any special attention and resources.
Project Integration across various disciplines– Data Analytics could guide project managers with the help of Project integration as most of the modern-day projects are not department-specific and require the expertise of various departments. By integrating data from various departments, a project manager can get a more holistic view of the project and make more efficient decisions.
Quality Control-Use of Data Analytics is of great significance when it comes to Quality control as providing top-notch quality is the main priority for every project manager. Data Analytics could be used to identify key variables that could measure quality and could be used to track any improvement or decline in quality over time and take necessary steps to address any issues related to the decline in quality thereby optimizing the quality control process.
Measuring the Success of the Project-Data analytics provide clear quantifiable answers about the success of the project. Data indicators related to costs, logistics, and different sub-areas could be analyzed furthermore customer satisfaction levels could also be ascertained with the help of data collected from surveys thus giving the project manager a clear idea about the level of success of the project.
Thus, we can say that data analytics is one of the most integral parts of project management as it plays a key role in a whole array of areas ranging from project planning to measuring customer satisfaction. It will become very difficult for project managers to deliver on project milestones without the use of data analytics in project management. The comprehensive application of data analytics makes it an indispensable resource for project managers.
Tools Used for Data Analytics in Project Management
There are a lot of tools of different kinds that are used for data analytics in project management. Such tools simplify the process of data analytics. Some of the most popular tools for data analytics are-
Spreadsheet Software-Spreadsheet software is one of the widely used and easy-to-understand project management. Software such as Google Sheets, Microsoft Excel, Apache OpenOffice, Apple Numbers, and LibreOffice are a few of the popular tools used for data analytics.
Spreadsheet tools help in breaking down data in the form of pivot charts, bar graphs, and pie charts. It also allows the users to apply different kinds of formulas to data so that they can make more sense of the raw data.
Business Intelligence Tools-Business Intelligence tools play a key role in collecting, analyzing, identifying patterns, and visualizing with the help of data. They also provide interactive Dashboards that make it more convenient for the user to understand and use the data. Business intelligence tools also provide comprehensive reports that can give a vital grasp of data.
The tools also allow you to run different kinds of queries for more customized needs. Some of the most popular business intelligence tools are Microsoft Business IB, Tableau, SAP Business Objects, IBM Congo Analytics, and Qilk Sense.
Statistical Analysis Software- These are specialized programs that are meant for users who want to do an in-depth and more complex statistical analysis. They have very powerful libraries which help in dealing with large data sets.
Since they are capable of working on large data sets, they can also be used for financial Modelling and building predictive models. Such tools are used by Business Intelligence Unit departments of various corporations. Some of the most popular statistical analysis software are SAS, Minitab, SPSS, R, and JMP.
Data Visualization Tools-Data visualization tools present data in a visually appealing and in a more interactive manner thus helping the project managers to comprehend complex data easily and making data more usable.
They provide data in interactive visual formats such as tables, pie- charts, Bar Graphs, Histograms, and Infographics. The engaging nature of the data in the form of highly interactive visuals thus helps in better communication and decision-making. Popular data Visualization tools are Tableau, Fusion Charts, QlikView, Highcharts, plotty, and D3js.
Machine Learning Framework-Machine learning frameworks are highly sophisticated and the most advanced tools of data analytics in project management. Machine learning models are advanced in the sense that the algorithm is trained in a manner that it can identify trends based on past data and build the model.
The model is not static but dynamic since it can reflect and adapt to the changes in data thus making a more precise predictive analysis along with optimizing project schedules. Some of the most popular machine learning frameworks are Py torch, Tensor Flow, Theano, Keras, Scikit learn caffe, and Mx Net.
Text Analytic Tools-Text Analytic tools are a unique kind of application that is used for non-numeric text data. Text Analytic tools are used to make sense of unstructured data. These tools make use of the technique of Natural Language Processing (NLP).
These tools can be used to extract meaningful information from the text data such as identifying the sentiment of the text, i.e. whether the text is written in a positive, negative, or in objective manner in addition to the sentiment analysis these tools can also identify the key highlight or the main theme of the text. Such tools are also capable of extracting vital information from the text such as names or addresses.
These types of tools are mainly used for customer feedback analysis and social media monitoring. Some of the commonly used text analytic tools are Google Cloud Natural, Language API, General Architecture for Text Engineering, -GATE, Datum Box, KH Coder, ODA Miner Lite, and Text Minning extension.
Data Integration and ETL (Extract, Transform, and load) Tools-Data Integration Tools help in extracting data from various different sources and place the combined data in a single place. These tools usually follow a three-step process which consists of extracting the data from different sources, then sanitizing the data and removing irrelevant and superfluous data, and finally loading the sanitized data at the preferred location.
Data integration is a very important part of data analytics since there are vast amounts of data available to any organization but such data is usually scattered over different documents, Data Integration Tools help in getting all the appropriate and workable data in one place thus providing the project managers the right kind of inputs to base their decision making on. Some of the popular Data Integration Tools are Hero Data Matillion, SAS, IBM Infoshare Datastage, Oracle Data Integrator, and Informatica Power Center.
Though, a lot of Data Analytics tools are available in the market for applying data analytics in project management the right tool for any company or user will depend on a variety of factors such scale of the organization, the complexity of data, and the objective of the organization thus depending upon the requirements a project manager can use any single tool or a combination of above-mentioned tools to achieve his goals.
FAQs
How much of a project efficiency could be improved by applying data analytics in project management?
The use of Data analytics in project management can improve project efficiency by many folds but extra care should be taken in choosing the right kind of data analytics tool or a set of tools. Such tools should be chosen which are tailored according to the project.
Data Analytics is performed on past data but the business environment is changing every day so can we completely rely on the use of data analytics in project management to achieve project objectives?
There are various tools such as machine learning tools which not only detect past trends but also make dynamic models that can adapt to changes in data and identify the most subtle trends However, data analytics has some limitations as data analytics tools and their analysis do not take into account extreme events such as natural disasters and political turmoil which can affect the project.
Is it viable for a small business to use data analytics as small data sets are available?
Data analytics is a scientific way of analyzing trends and risks associated with a project it will be equally imperative for a small business to use data analytics in project management to get better at decision making however small business would not need very expensive sophisticated data analytics tools for small business basic data management tool will be enough.
The need for data analysis is expanding quickly, which has led to an online course oversupply. A lot of course offerings fail of giving a comprehensive learning experience that covers the complete analytics pathway. When there are so many institutions providing analytics courses, it can be difficult to choose the best one for you. In this article, we have searched through top online course catalogs to identify the best data analytics courses. Since an analyst’s job requires a variety of talents, IIM SKILLS and Imarticus are the top providers that cover every aspect of the data analyst industry. Hopefully, this categorization of the IIM SKILLS vs. Imarticus Data Analytics Course will make it easier for you to select your ideal course.
What is Data Analytics?
The majority of businesses constantly gather massive amounts of data, but this data doesn’t mean anything in its raw form.
Data analytics can be useful in this situation.
Data analytics is the practice of analyzing unstructured data to gain insightful, useful knowledge that can be used to inform and inspire wise business decisions.
In order to turn absurd numbers into cohesive, understandable information, a data analyst will then share their results with the company in the form of ideas and recommendations for the Data analytics can be useful in this situation.next step of action.
Think of data analytics as a sort of business intelligence that is applied to specific organizational problems and challenges.
Making decisions and developing strategies based on the facts rather than assuming what the data will show you allows you to make sense of the past and forecast future trends and behaviors.
Students can take data analytics courses online or offline to learn the fundamental skills required to gather, arrange, analyze, and present data.
Each data analytics course you take will have a set of learning objectives that the provider want their students to accomplish by the time they finish.
This may only be a basic knowledge of data analysis principles for some initial courses, while more advanced courses with career assurance will have a specific list of skills and tasks that the industry requires.
Data Analytics courses also cover the fundamentals of programming in languages like R, Python, and SQL as well as tools like Microsoft Excel and Tableau.
Depending on the sort of course provider and the course you select, the content you study will be designed around these learning outcomes and delivered in a variety of ways.
While data analytics courses can help on your learning path and give you basic knowledge in a variety of areas, it’s important to keep in mind that additional study and experience are always advantageous in the job market.
You can make a strong impression on potential employers by utilizing the skills you learn throughout your training to create a portfolio of data analytics projects or find open-source projects you can contribute that will help you stand out.
A high-quality data analytics certification will ideally enhance your skill set for the data analysis industry.
Hard Skills:
Machine Learning Algorithms and Models
Statistical Analysis
Data Engineering
Predictive Modeling
Regression Analysis
Building Data Sets
Data Optimization
Programming Languages, Such as Python and R
Data Visualization Tools, such as Tableau
Querying Languages, Such as SQL
Microsoft Excel or Google Sheets
Soft Skills:
Decision Making
Problem Solving
Creative Thinking
Analytical Mindset
Attention to Detail
Time Management
Verbal and Written Communication
Organizational and Presenting Skills
However, it might be challenging to know where to start exploring with so many data analytics courses, specializations, and certifications available in the world.
These two institutes provide basic to advanced-level data analytics course that gives comprehensive learning and will help you get real-world experience in the data analysis industry.
We will see the in-detail comparison between IIM SKILLS vs. Imarticus Data Analytics Course.
IIM SKILLS
About:
IIM SKILLS is the fastest-growing ed-tech company in the world.
IIM SKILLS has a presence in 23 Asian cities with its headquarters in New Delhi.
It is the most reputable provider of online training and certification in Asia, helping students transform their careers and become job-ready.
IIM SKILLS was established in 2015 to serve all internet marketing activities and courses in the quickly expanding digital marketplace of today.
It offers rigorous practical and theoretical training such as short-term, master, and online courses to up-skill learners and enhances their professions through industry-related courses created by experts.
With the mission of offering self-paced and live online programs that are world-class education at affordable prices.
Overview of Data Analytics Course at IIM SKILLS:
IIM SKILLS’ six-month live Data Analyst Course included more than 160 hours of lectures and 100+ hours of practical assignments with hands-on tool-based training. Their comprehensive training includes 7+ live projects, 10+ case studies, and 7+ tools that will help you get ready for the data analyst industry. Students will also get lifetime access to training materials, class recordings, and presentations.
Module Name
Important Topic
Module 1: Basic and Advance Excel
Introduction to Data Handling
Data Manipulation Using Functions
Data Analysis and Reporting
Data Visualization in Excel
Overview of Dashboards
Module 2: Visual Basic Application
Introducing VBA
How VBA Works with Excel
Key Components of Programming Language
Programming Constructs in VBA
Functions & Procedures in VBA
Objects & Memory Management in VBA
Error Handling
Controlling Accessibility of Your Code
Communicating with Your Users
Module 3: SQL
Basics RDBMS Concepts
Utilizing the Object Explorer
Data Based Objects Creation (DDL Commands)
Data Manipulation (DML Commands)
Accessing Data from Multiple Tables Using SELECT
Optimizing Your Work
Module 3.1: SQL Server Reporting Services
Basics of SSRS
Creating Parameters
Understanding Visualization
Creating Visualization Using SSRS
Module 3.2: SQL Server Integration Services
Understanding Basics of SSIS
Understanding Packages
Creating Packages to Integrate
Creating Project Using SSIS
Module 4: Power BI
Introduction
Data Preparation and Modeling
Data Analysis Expressions (DAX)
Reports Development (Visuals in Power BI)
Module 5: Data Analytics Using Python
Introduction to Basic Statistics
Introduction to Mathematical Foundations
Introduction to Analytics & Data Science
Python Essentials (Core)
Operations with NumPy (Numerical Python)
Overview of Pandas
Cleansing Data with Python
Data Analysis Using Python
Data Visualization with Python
Statistical Methods & Hypothesis Testing
Module 6: Tableau
Getting Started
Data Handling & Summaries
Reports Development (Visuals in Tableau)
Module 7: R For Data Science
Data Importing/Exporting
Data Manipulation
Data Analysis
Using R with Databases
Data Visualization with R
Introduction to Statistics
Linear Regression: Solving Regression Problems
Module 8: Alteryx
Overview of the Alteryx Course and Fundamental Concepts
Using the Select Tool to Rename Fields, Change the Data Type
Understanding the User Environment and Alteryx Settings
Filtering Data/Data Processing
Blending/Joining Data from Different Sources
Data Cleansing
Impute Values
Random Sample
IIM SKILLS Data Analyst Masters Course offers an optional two-month non-paid internship. To qualify for this opportunity, students are required to pass an examination with a minimum of 50%.
An internship certificate will be provided upon completion. Students will also receive career assistance regarding resume building, interview prep, and 100% placement support.
Imarticus Learning
About:
Imarticus Learning has established itself as a leading professional online educational organization focused on developing the workforce of the future.
Imartiucs Learning was established in 2012, and till now it has been successful in providing high-quality education by developing challenging programs that are immersive and progressive with top colleges like IIMs and IITs.
By organizing knowledge and making learning accessible through modern technology, Imarticus Learning’s comprehensive courses and programs aim to prepare the global learning community for a futuristic, tech-driven society.
With the mission of delivering purposeful learning experiences in order to develop the leaders of tomorrow.
Overview of Data Analytics Course at Imarticus Learning:
Imarticus Learning offers a six-month distinctive teaching approach in their Post Graduate Program in Data Science and Analytics that includes 300+ learning hours with industry-focused 25+ projects and 10+ tools. Their course provides guest lectures, capstone projects, peer-to-peer discussions, industry-focused seminars, soft skill training, and many more services to assist students to create successful professional routes.
Their curriculum also includes specialization. To help students enhance their portfolios and prepare them for job interviews based on industry-specific requirements they provide career mentoring.
Let’s begin the comparison,
IIM SKILLS vs. Imarticus Data Analytics Course: Pre requisite
IIM SKILLS
Imarticus Learning
A bachelor’s degree in any field.
Basic expertise in computers and technology.
It may be advantageous to have a prior experience in statistics and mathematics but it is not required.
Admission test
Basic understanding of mathematics and programming
Recent graduate or postgraduate in
Engineer,
MBA in Finance,
Computer Science
IT
With a minimum of 50%.
IIM SKILLS vs. Imarticus Data Analytics Course: Fees of the Program
IIM SKILLS
Imarticus Learning
Rs.49,900 + Taxes
Rs.2,25,000
Rs.19,900 + Taxes
You can also choose a single module as per your requirement.
Imarticus gives students flexible payment options with EMI.
Registration fees include Rs.20, 000 then students can have three installments until they finish the course.
IIM SKILLS gives a 100% money-back guarantee if you don’t like the first session of their course.
The price also includes exam and certification fees.
It also offers a special 10% group discount on more than 3 registration.
IIM SKILLS vs. Imarticus Data Analytics Course: Mode of Learning
IIM SKILLS
Imarticus Learning
It provides 100% live instructor-led online training.
It provides both live online as well as classroom training.
IIM SKILLS vs. Imarticus Data Analytics Course: Duration of the Course
IIM SKILLS
Imarticus Learning
6 Months
6 Months
The course includes 160 hours of weekend lectures, which can be completed in six months.
However schedules are completely flexible, so even full-time workers could also take this course.
It is a full-time weekday program with 300+ learning hours, which is flexible for every student and professional. You will participate in live sessions every week from Monday to Friday.
IIM SKILLS vs. Imarticus Data Analytics Course: Syllabus
Data analytics is a broad field with several divisions and levels, both of these institute provides in-depth curriculum but it’s wise to carefully review the syllabus of a course before enrolling for it to make sure it includes the subjects you’re most interested in.
Core Modules
IIM SKILLS
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
Introduction to VBA
Key Components of Programming Language
How VBA Works With Excel
Programming Constructs in VBA
Functions and Procedures in VBA – 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
Keeps and Remove Rows, Add Remove and Go to Columns
Data Analysis Expression (DAX)
Reports Development (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
Operations with Numerical Python (NumPy)
Overview of Pandas
Cleansing Data with Python
Data Analytics Using Python-II
Data Analytics 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-1
Data Handling and Summaries-2
Building Advanced Reports/ Maps
Table Calculations
Calculated Fields
R For Data Science
Data Importing and 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
About:
You will learn the most in-demand data science tools and technologies as well as the curriculum covers fundamental data science and analytics concepts with specializations to prepare yourself job-ready.
Module
Imarticus Learning
Foundation
Introduction to Programming
Variables and Arithmetic Expressions
Functions
Data Types
Conditions and Conditional Statements
Lists OOPS
Core Track
Excel
Basics to MS Excel
Reporting using Excel
SQL
Basic of SQL
Advanced SQL- Part 1
Advanced SQL- Part 2
Python Programming
Introduction to Python
Python Objects + List Comprehension
User-defined and Lambda Functions
NumPy
Pandas
Data Frame Manipulation
Visualization Part-1
Visualization Part-2
EDS
Statistics for Data Science
Introduction to Statistics
Probability Theory
Probability Distributions
Hypothesis Testing
Statistical Tests
Machine Learning
Introduction to Machine Learning
Linear Regression using OLS
Project on Linear Regression
Logistic Regression
Model Tuning Techniques
Project on Logistic Regression
Decision Trees
Project on Decision Trees
Random Forest
Project of Random Forest
K-means Clustering
Project on K-means Clustering
Hierarchical Clustering
Project on Hierarchical Clustering
Principal Components Analysis
Project on PCA
Time Series Modelling
Project on Forecasting
Cloud Basics
ML on Cloud
Deployment on Cloud
Data Visualization with Tableau and Power BI
Tableau Part-1
Tableau Part-2
Project- Mortgage Analysis
Power BI
Project- Stock Data Analysis
Exam- Tableau and Power BI
Capstone Project Allocation- Based on ML
Specialization Track
Advanced ML Track
Ensemble Modelling Techniques
Analytics in Healthcare/Finance
Association Rule Mining
Analytics in Retail
Analytics in E-Commerce
Analytics in Marketing/Sales
Introduction to Deep Learning and AI
Introduction to Computer Vision
Introduction to NPL and Text Analytics
Data Analytics and ML Track
Ensemble Modelling Techniques
K Nearest Neighbors
Analytics in Healthcare/Finance
Analytics in Marketing/Sales
SQL + Visualization Project
Excel + Visualization Project
Linux Commands
Hadoop Framework
Introduction to Big Data
Hive
Spark
Machine Learning with Spark
IIM SKILLS vs. Imarticus Data Analytics Course: Tools and Technologies Covered
The quality of the courses can vary considerably the hands-on project they offer and the analytics tools and technology they use.
IIM SKILLS
Imarticus Learning
Excel
Excel
Power BI
Power BI
Python
Python
SQL
SQL
Tableau
Tableau
R for Data Science
Hadoop
Alteryx
Apache Spark
Scikit Learn
IIM SKILLS vs. Imarticus Data Analytics Course: Best for
IIM SKILLS
Imarticus Learning
The best candidates for the Data Analytics course are aspiring professionals with an analytical approach from various educational backgrounds.
It will be appropriate for you if you are:
Recent Graduates
UG/PG Students
Banking and Financial Experts
Marketing Managers
Sales Experts
Supply Chain Network Managers
The best candidate for this data science and analytics program is for recent graduates in the relatable field and
Working professionals with 0-3 years of experience including IT professionals, networking professionals, testers, and system administrators can also opt for this course.
IIM SKILLS vs. Imarticus Data Analytics Course: Program Offerings
IIM SKILLS
Imarticus Learning
Live Online Training
Yes
Yes
In Classroom Training
No
Yes
Doubt Session
Yes
yes
Discussions with Peer Learners
Yes
Yes
Hands-On Exercise
Yes
Yes
Assignments
Yes
Yes
Quizzes
Yes
Yes
Exam
Yes
Yes
Lifetime Access to the Live or Recorded Sessions and Materials
Yes
No
Project Base Learning
Yes
Yes
24×7 Support
Yes
Yes
Real World Projects
Yes
Yes
Internship
Yes
No
Resume Building
Yes
Yes
1:1 Career Mentoring
Yes
Yes
Interview Preparation
Yes
Yes
100% Placement Assistance
Yes
Yes
IIM SKILLS vs. Imarticus Data Analytics Course: Certification
IIM SKILLS
Imarticus Learning
When you complete the course and exam, you are awarded the certified data analyst master course with globally recognized certification.
The certification is also government-recognized and will indicate your skills development and help you improve your position in the data analytics industry.
They provide a soft copy of the certification via email within 15 days of your examination.
You will receive a certification in a post-graduate program in data science and analytics after completing this course of study.
Your professional credentials will gain a lot from this industry-recognized certification.
Why IIM SKILLS?
IIM SKILLS is an excellent organization that upholds its commitment to providing top-notch knowledge and skill development at affordable prices.
Since 2015, more than 35000+ people have founded IIM SKILLS to be an ideal place to launch, restart or enhance their careers.
An increasing number of skill-oriented professions are being created as the world of opportunities expands immensely. IIM SKILLS provides the ideal environment for people to launch their professional careers or improve in their current field to bring you into the limelight with these completely novel and advanced skills.
The level of professionalism taught by IIM SKILLS is the same as in their excellent Data Analytics Masters Course.
The course’s modern curriculum, student-focused teaching, superior mentors, and continuous support allow you to get the most out of it. The specialist at IIM SKILLS has created a complete Data analytics course that is specific to the preference and thinking styles of those holding entry-level, middle-level, and senior level jobs in the industry. This course is a superb fit for anyone considering a career in the field of data analytics even without any prior knowledge.
IIM SKILLS will enhance your position in the Data Analytics industry and it will make companies take notice of your CV and domain knowledge.
Online training is their area of expertise at Imarticus Learning. To ensure that you may learn at your own pace with the assistance of their knowledgeable trainers, they are regularly updating their program to reflect the newest trends and technologies.
Imarticus Learning has influenced more than 10,00,000 careers over the past ten years thanks to its innovative curriculums, highly qualified trainers, and more than 500 global connections with top organizations and businesses.
In order to meet the expectations of diverse industries’ current and future job markets, Imarticus Learning works to up skill current and future employees.
You will prepare to work as a data science professional in a developing field of data science and analytics and will obtain practical learning about the application of data science and analytics in real-world enterprises.
IIM SKILLS vs. Imarticus Data Analytics Course: FAQs
Q. Is it worth getting a data analytics certificate?
You can succeed in the field of data analytics by earning one or more data analytics certifications. Certifications do more than only assist you in enhancing your skills. Additionally, they demonstrate your abilities to potential employers. It makes you a better candidate in almost any industry you want to work in and increases your salary in the position you want.
Q. Can data analysts work from home?
In many cases, work-from-home positions for data analysts are common. However, the majority of jobs require a laptop or desktop computer, access to superior visualization and analysis tools and certification in one or more fields related to data analysis. Although there is full-time employment available, many careers for data analysts start as contract or freelance work, which usually offers the employee the option of working from home or in a workplace.
Q. What matters more when applying for a data analytics job: Experience or Course certification?
An excellent method to impress hiring managers is to have relevant experience, yet gaining experience typically happens after receiving a degree.
Both IIM SKILLS and Imarticus Learning Institute will help you enhance your skills with analytics tools if you want to contribute to an open-source project. IIM SKILL also provides a two-month internship that will add experience to your resume.
Q. Will I get a job after completion of the data analytics course?
Yes, both of the institutes provides career services such as resume building, interview preparation, and placement assistance.
IIM SKILLS vs. Imarticus Data Analytics Course: Conclusion
Data Analysis is a rapidly growing field with numerous job opportunities in various industries. Both of the data analytics courses from IIM SKILLs and Imarticus Learning offer the best way to prove to yourself that you completed the course with solidified knowledge and all the necessary skills and technologies essentials to become a successful data analyst. We hope this comparison of IIM SKILLS vs. Imarticus Data Analytics Course help you get the better understanding of courses and institutions.
Whichever data analytics course you choose, we wish you the best for your data analytics career.
The moment we hear the term Investment Banking, all we can think of is the high-paying, lucrative, white collared jobs. The term Investment Banking is almost synonymous with fat paychecks. But what exactly is Investment Banking all about? What is the nature of this job? What are the investment banking course eligibility criteria, and who is the right fit for this sort of work profile? Let’s delve deeper and understand this field better.
Investment Banking is a niche in the world of finance. Investment Bankers specialize in dealing with complex transactions like mergers and acquisitions as well as helping organizations/institutions to raise capital. Investment bankers offer assistance in transactions involving buybacks, takeovers, debt syndications, restructuring, debt and equity issuance, etc. In this article, we shall understand Investment Banking as a career option and the investment banking course eligibility.
Career as an Investment Banker
Investment Banks are institutions that act as financial advisors to big institutional clients. They help their clients navigate through complex financial transactions. They also do in-depth research about their clients, their vision, mission, and objectives and accordingly, strategize an action plan to utilize the opportunities available or overcome the challenges faced by their clients.
Investment banks generally offer their services to large institutions, organizations, governments, etc. They help their clients in their financial transactions and fund-raising activities. They work mostly on a commission model. Since it’s a highly specialized job, Investment Banks usually have lean teams and hence it’s easier to dole out higher packages to a small set of employees.
The demand for professionals in this field is at an all-time high. The Global Investment Banking market is predicted to reach approximately $138 billion by the year 2025. Therefore, it’s one of the most sought-after careers in the current times.
An ideal candidate for this career possesses strong analytical skills and enjoys working with facts and figures. Strong communication skills are an added advantage. Love for numbers and an analytical bent of mind are at the heart of this field.
Apart from the investment banking course eligibility, an aspirant should also keep in mind the kind of skills required to achieve success in this field. Let’s take a look at the skills required –
Strong Mathematical Foundation: Since the job requires a lot of computation and data analysis skills, it’s a good choice for people with strong mathematical abilities.
Communication Skills: An ideal candidate should possess strong communication skills as it requires part marketing and part negotiation to deal with large institutions and corporations.
Ability to work under pressure: The transactions involved are large and the parties involved are usually big corporates, multinationals, etc hence the stakes are usually pretty high. The work involves long work hours and the ability to handle stress.
Understanding of the economy & businesses: Staying abreast with the latest developments in the economy and the markets is essential to succeed in this field. The better the understanding of the business the better advice one can offer to their high-profile clients.
Negotiation Skills: Finalizing big deals requires excellent negotiation skills. The parties involved are high profile and extremely well-versed, one needs exceptional negotiation skills to work with such learned clients.
To know the Investment Banking course eligibility, one needs to understand that though at an undergrad level, it doesn’t matter much which field you have opted for. However, a degree in finance, statistics, economics, or management helps.
At a later stage professional or degree courses in Investment Banking, Master in Business Administration, Chartered Financial Analyst, Chartered Accountant, etc. boosts your prospects in this field.
An aspiring candidate should possess a thorough understanding of subjects like accounting, taxation, corporate finance, mathematics, financial modeling, economics, etc. to make it big in this field. At an entry level, you start as an Intern/Junior Analyst who moves up to Senior Analyst before moving to a leadership position.
Find here the top-ranked investment banking courses for career advancement:
Organizations like Goldman Sachs, JPMorgan, Morgan Stanley, Deutsche Bank, Citigroup, Credit Suisse, HSBC, and Nomura are some most coveted names in the field of Investment Banking. Today, India is the 5th largest economy in the world with a GDP of $3.7 Trillion.
The pace of growth in the Indian industry has brought along greater action in the field of mergers & acquisitions. For instance, the most talked about merger of HDFC Ltd, the mortgage lender with HDFC bank is alone valued at $40 billion.
Similarly, the booming economy usually witnesses a large number of companies tapping the markets to raise capital through the IPO route. In the year 2022, India ranked 3rd in terms of number of IPOs. Such complicated transactions create a demand for specialists such as Investment Bankers.
To understand the depth of this segment, consider the data shared by Refinitiv that states that the total volume of Mergers and acquisitions in India was roughly $172 Billion in the year 2022.
The primary services offered by Investment Banks are:
Mergers & Acquisitions: Investment Bankers help in doing the due diligence and arriving at fair valuations for the prospective companies. They help in arriving at the fair value of the targeted company and help negotiate a good deal for their client. They also help in getting necessary permissions and fulfilling all legal formalities mandatory before such transactions. For example, the merger of L&T Infotech and Mindtree was facilitated by Axis Capital Ltd and Citigroup Global Markets India Pvt Ltd.
Raising Capital: Investment Bankers help organizations raise capital via the Initial Public Offerings (IPO) route, Follow On Public Offer, or through bond issuance, etc.
Example: Zomato’s IPO was facilitated by Bank of America, Citi, Kotak Mahindra Capital, Credit Suisse, and Morgan Stanley. Another example is that of Yes Bank when it raised capital via the Follow On Public Offer (FPO) route in July 2020. These banks also help in debt and equity issuances, restructuring, etc.
Research: They specialize in Equity Research, Macroeconomic research, and credit research which helps their clients to make well-informed decisions. Their research also helps their clients zero in on their merger or acquisition targets. The research helps them to understand the benefits of the proposed transaction. A well-researched deal can help organizations increase their market share and result in greater profits of economies of scale.
With the nature of financial transactions becoming even more complex by the day and coupled with digitization, this field is expected to boom shortly. The advancement in technology and a growing combination of finance and tech will only lead to greater demand for skilled professionals in this field. Investment Banking is anticipated to be the third largest sector in the banking space.
The Investment Banks Can Be Classified Into Three Major Categories:
Bulge Bracket Banks – As the name indicated, these are big, international players like Credit Suisse, JP Morgan, Bank of America, Goldman Sachs, etc which operate with a large base in terms of their presence across the globe as well as a large number of employees. They mostly deal with crème-de-la-crème clients, the Fortune 500 companies. Another distinguishing feature of these Bulge Bracket banks is that they offer a full range of services like trading, asset management, equity research, financing (long-term, short-term financing) along with the core activities of Mergers and Acquisitions.
Middle Market Banks are those which lie in between the Bulge Bracket Banks and Boutique Banks. They have a fairly large presence compared to a Boutique Bank. The salient features of these banks are that their deal sizes are mostly in the range of $10 Million to $500 Million. Moreover, they have strong local footprints but do not have a strong global presence. A lot of them focus on particular services or deal with companies in a specific sector or market. For instance, Keefe, Bruyette & Woods is an Investment Banking firm based in New York that exclusively deals in the Financial Services sector. In Indian markets, Edelweiss Financial Services, Axis Capital, etc are some examples of Mid-market banks.
Boutique Banks: It is further subdivided into Regional Boutique Bank and Elite Boutique Banks. These banks generally do not offer a full suite of services but offer specialized services. They are small in terms of the deal size as well as the number of employees. They are typically limited to particular markets/countries.
The high-profile nature of this field attracts the interest of a lot of youngsters. Investment Banking is one of the highest-paying jobs in the field of Finance. At an entry-level, one can expect an average package of INR 8 Lakhs to INR 10 Lakhs per annum. At a mid-senior level, one can easily expect a salary of INR 30 lakhs and above.
Other factors that influence the pay-outs include the qualification, experience, and knowledge of the candidate, skills displayed by them, job location, and the hiring organization. Due to the nature of the skills required for being an Investment Banker, the number of vacancies is also limited.
Besides the technical skills an ideal candidate should be able to work for long hours, should be adept at working under pressure, and should be an effective communicator. Apart from the fixed cost of the employees or Cost to the company (CTC), a large part of the earnings come in the form of yearly bonuses which are dependent not just on the individual’s performance but on the overall performance of the company.
For an average year, the bonus expected can be anywhere in the range of 80-100% of the CTC, and for a good year, the expected bonuses can range between 200%-300% of the CTC.
Investment bankers act as advisors to MNCs, large corporates, institutions, and even Governments. They help them raise capital or assist them in acquiring or merging with other entities or even arranging the sale of the company. Companies that specialize in financial management and corporate finance are the ones that hire investment bankers. Some of the most sought-after Investment Banking companies in India are:
J.P. Morgan Chase: One of the leading and oldest financial institutions in the world. It started as a commercial bank and later expanded its offering in the field of investment banking. Headquartered in New York it is one of the top investment bankers across the globe.
Goldman Sachs: An established name in the field of investment banking and investment management across the globe. It was founded in 1869 and continues to be amongst top top-ranking investment banking firms in India.
Morgan Stanley: An American Investment bank and financial institution with a presence across 41 countries is another well-known Investment Banking firm.
Citigroup: A multinational investment banker and financial services company.
Avendus: It was founded in the year 1999 by co-founders Gaurav Deepak, Ranu Vohra, and Kaushal Aggarwal. The company is headquartered in Mumbai.
Axis Capital Limited: A wholly owned subsidiary of Axis Bank, Axis Capital specializes in Investment Banking and Institutional Equities.
Kotak Mahindra Capital Company Ltd: A subsidiary of Kotak Mahindra Bank, they provide full-suite investment banking services to various institutions across sectors.
Barclays Bank PLC
BNP Paribas
Deutsche Equities Pvt Ltd
Edelweiss Financial services ltd.
ICICI Securities Ltd.
Religare Capital Markets Ltd.
SBI Capital Markets Ltd
SMC Capitals Ltd.
Ernst & Young
Genpact etc. are some of the known names offering Investment Banking services in India.
Aspirants flock to top B schools to pursue degree/diploma courses in Investment Banking. Apart from these degree/diploma courses, several institutions offer certificate courses in Investment Banking.
Apart from investment banking course eligibility criteria, there are certain factors that you should look at before finalizing the right course for yourself.
Curriculum Covered.
Duration of the course.
Fee Structure
Placements Offered
Faculty
Institutes Offering Courses With The Investment Banking Course Eligibility
There are several options to pursue Investment banking courses in India. These are Certification Programs, Diplomas, Post Graduate Programs, Undergraduate Programs, and self-paced ones. The traditional approach is to get an MBA from the Top B-schools like IIMs. For a graduate from a Quant-heavy background, there are options to join as a Junior Analyst and then work their way up the corporate ladder.
1. IIM SKILLS
IIM SKILLS is globally the top-ranking ed-tech company that offers the best training platform for skill development courses. They are a pioneer in offering the best courses in fields like Digital Marketing, Content Writing, Data Science, Data Analytics, Banking and Finance.
Investment banking is one of their top-selling course. This course is best designed for beginners to professional-level learners who want to upgrade their skills in investment banking. IIM SKILLS have a team of best mentors who are highly qualified and also experienced in their domain.
The course covers all the important & latest modules in investment banking. The course assures 100% certification & also offers job placements with leading companies in the market.
NSE offers a Post Graduate Program in Investment Banking and Research. The duration of this course is 10 months / 670 hours. A fresher or a working professional can easily opt for this course as it’s offered via three modes: Full-time Classroom training, Weekend Programs, and Live Virtual Classes.
After completion of this course, the candidate is armed with a post-graduate degree from NSE along with in-depth knowledge of M&A, Credit analysis, Equity Valuations, Project Finance, etc.
The faculty includes experts from IIMs and CFAs who have relevant experience in the field. With the assurance of 100% placement assistance, the course comes for INR 99,000.
3. Indian Institute of Management, Indore:
IIM Indore offers a Post Graduate Certificate Programme in Investment Banking (PGCPIB). Graduates from any discipline with a minimum of 2 years of work experience can apply for this course. The duration of the course is 12 months. The course is conducted online with 5 days of on-campus modules.
The pedagogy used is a mix of case studies, projects, lectures, assignments, etc. The course fee is approximately 4,55,000 (Including GST). Upon successful completion of the course, the candidate shall be eligible for the Executive Education Alumni Status of IIM Indore.
4. DataTrained:
DataTrained offers a Post Graduate Program in Investment Banking & Financial Modelling. It’s a certificate course that is industry-recognized. The duration of the course is 6 months. They also offer weekend classes to make it more convenient for working professionals to upskill themselves.
The fee for the course is 90,000 + GST (EMI options available). The faculty includes mentors from Morgan Stanley, JP Morgan Chase, and Citi Bank. The curriculum has been designed by experts from IIMs. DataTrained offers 200+ hours of content with 10+ Case Studies and Projects.
There are 30+ hours of Project-based learning. Content delivery is a mix of pre-recorded lectures, live sessions, case studies assignments, etc. Apart from academics it also offers assistance in Profile enhancement Resume Building, Interview preparation as well as placement opportunities for the candidates.
5. Imarticus Learning:
Certified Investment Banking Operations Professional is a Certificate program best suited for finance professionals with less than 3 years of experience. The certification offered is internationally accredited. An industry-recognized program that comes with a job guarantee.
The Program is live Online and in the Classroom with an option to attend on weekdays or weekends. The course duration is roughly 150 hours spread over 2-3 months. Imarticus has 400+ corporate partnerships which helps the candidates to be industry-ready.
The program involves simulations and case studies which help prepare an individual for their role as Investment Bankers. Imarticus boasts of an 85% placement record with an average salary of up to 9 lakhs. The program fee is Rs. 1,40,000 with an option to pay in EMIs too.
6. Udemy:
Udemy offers a certificate course on the complete Investment Banking Course 2023. This is a complete online pre-recorded module. It’s 13.5 hours of on-demand videos. It’s a 4.5-star rated course. The course covers four important areas of Investment Banking – Capital Markets, Advisory, Trading & brokerage as well as Asset Management.
The course comes at a fee of as low as INR 399 and a 30-day money-back guarantee. It’s a self-paced program ideal for candidates who wish to learn the nuances of Investment Banking at their own pace. The course includes quizzes, excel files, real-life case studies, etc. to facilitate learning.
Frequently Asked Questions Related ToInvestment Banking Course Eligibility
Question: What is the average salary earned by Investment Bankers in India?
Ans: The average salary of an Investment Banker in India is in the range of INR 8 lakhs per annum to INR 10 lakhs per annum. A seasoned Investment banker can easily make anywhere around 50 lakhs per annum.
Ques: What is Investment Banking?
Ans: Investment Banks are organizations that specialize in assisting large corporates, multinationals, institutions, and even Governments to raise capital via the issuance of equity or debt securities. They have expertise in complex transactions such as Mergers and acquisitions, Buybacks, private placements, secondary market offerings, etc. They can be engaged from the buy side or sell side activities. Investment banks are different from commercial banks in the sense that they do not accept deposits and their clientele includes big corporates, organizations, etc. Commercial banks reach out to investment banks for any transactions involving IPO, M&A, buybacks, etc.
Ques: What are the skills required to build a career in the field of Investment Banking?
Ans: An aspirant needs the following skills to be a successful professional in the field of Investment Banking:
Analytical Skills
Number crunching/data interpretation
Presentation skills
Good in communication
Negotiation Skills
Ability to work long hours
Strong business acumen
Networking skills
Critical Thinking
Attention to detail
Leadership skills
Ques: What are the investment banking course eligibility criteria?
Ans: The investment banking course eligibility is primarily graduation from any stream with a minimum of 50% marks is eligible for this course. However, it is ideal for candidates from quant-heavy backgrounds like a Bachelor’s in Commerce, a Bachelor’s in Business Administration, or a degree in Economics, Statistics, Mathematics, etc. A master’s degree or a Master’s in Business Administration, Chartered Accountant, or Chartered Financial Analysts are certainly best suited for these courses.
Ques: What are the career options one can opt for after completion of the Investment Banking course?
Ans: After successful completion of the Investment Banking course, a wide variety of career options become available to the candidate such as Chartered Wealth Manager, Cost and Management Accountant, Certified Public Accountant, Research Analyst, etc. Private Equity firms, Hedge Funds, Venture Capitalists, and Asset Management Companies are some avenues where one can find lucrative job options.
Conclusion
Investment banking is a new-age career option that holds immense potential. With the financial markets across the globe becoming more complex and interwoven, the demand for investment bankers is only going to grow. An aspirant should study through the investment banking course eligibility criteria, the skills required, and various institutions offering these courses and then finalize the course they wish to pursue. Hope this article helps students make an informed decision.
Data Analytics Courses are quickly becoming the most sought-after and well-liked academic fields today. They are the courses that are developing the quickest, and as a result, many new job types, such as data scientist, data analyst, business analyst, etc., are being created. Due to the Big Data and Massive Data development boom, these technologies are developing quickly, which is further encouraging businesses from a variety of sectors to embrace data analytics as a way to capture and use better business insight. Here is a detailed guide to IIM SKILLS vs AnalytixLabs Data Analytics Course Review
Let’s know more about the Data Analytics courses and the Institutes offering the same, in-depth.
All About Data Analytics
Data analytics is the practice of carefully examining raw data to get relevant insights from it. These insights might include knowledge about your company, new products, industry trends, etc.
Analyzing data gathered from many sources, cleaning it, and then converting it into information that people can understand are similar tasks involved in data analytics.
The type of data may be organized, semi-structured, or unstructured. Visual representations of the end result, such as graphs and charts that show the research’s precise findings, are available. There are several frameworks and technologies utilized.
There is a high need for experts who can help firms turn raw data into information that is beneficial for corporate success. Among the various job categories available in the data analytics sector, data analysts have some of the most intriguing career opportunities.
Data Analysts are ones who gather large datasets, prepare, and are subjected to examination by them. Client testimonials, accounting information, logistical data, market research, and other types of data are examples of this information.
A data analyst is in charge of gathering, scrutinizing, and analyzing data that may be applied to better business judgments. They need to be able to explain their results clearly to people who will be making the choices. Data analysts frequently have excellent backgrounds in computer science and mathematics.
As organizations have become more data-driven, the function of the data analyst has become more crucial. Businesses can make sense of the enormous volumes of data they gather with the aid of data analysts. They clean and analyze data using their knowledge of mathematics and computer science, then provide their conclusions to people who will be making the choices.
Data Analytics as a Career
Data analysts are in greater demand than ever. The US Bureau of Labor Statistics predicts that in the upcoming years, the employment of data analysts will increase significantly more quickly than the average for all occupations.
It’s because businesses are creating a lot of data as they go through digital transformation, which they may need to learn how to properly handle, manage, or use. Here, data analysts offer insightful analyses and interpretations of the data that might help the company.
You should check the courses in other rewarding cities
For a number of reasons listed below, beginning a career as a data analyst might be a great decision:
High Earning Potential:
Salaries for data analysts vary based on region, sector, and expertise. They are frequently well-paid. Right out of college, data analysts may frequently expect to make a respectable salary.
Opportunities:
Data analysts can find work in a variety of sectors, including marketing, retail, healthcare, and finance. It implies that individuals with data analysis abilities have access to a wide range of employment opportunities and career routes.
Interesting:
Work that requires problem-solving skills attention to detail, and data analysis may be exciting and hard. For analysts, sifting through vast, complex data sets in search of insights may be both intriguing and intellectually stimulating.
Transferable Abilities:
Statistical analysis, data visualization, and data management are just a few of the abilities that may be used in a variety of other businesses and areas. Therefore, data analysts can develop important transferable abilities that will be helpful throughout their careers.
The position of data analyst entails a number of obligations and responsibilities. To become a data analyst, you must first understand what they do. Some usual and anticipated tasks for a data analyst include the following:
Being Aware of the Goal
Prior to anything else, a data analyst must ascertain what the organization’s goal is. They must assess the resources that are available, comprehend the business problem, and compile pertinent information.
Inquiry
Data analysts write complex SQL queries and scripts to gather, store, manage, and retrieve information from relational databases like MS SQL Server, Oracle DB, and MySQL.
Data Mining
Data is classified and mined from a number of sources in order to extract new information from them. In order to increase the efficacy of the system, data models are produced.
Data management and cleansing are two of a data analyst’s primary duties. Data that is first obtained is typically incomplete and unstructured. Therefore, in order to prepare the data for analysis, it is crucial to clean it.
Data Analytics Tools
Data analysts use analytical and statistical tools, including computer languages, to do a logical examination of the data.
Interpreting Data Trends
To glean insights into the workings of enormous databases and identify patterns and trends, data analysts use a number of tools and libraries.
Development of Executive Summaries
Data analysts develop summary reports using data visualization methods. These reports serve as a guidance for the leadership team to move quickly.
Working Along With Other Teams
To ensure that business needs are implemented properly and identify possibilities for process improvement, data analysts collaborate with the management team, development team, and data scientists.
Now that you are fully aware of the duties and obligations of a data analyst, you are prepared to discover the key to learning how to become one.
There are several reputable institutions that provide Data Analytics Courses.
This article will compare and contrast the Data Analytics course offered by IIM Skills and AnalytixLabs. These analyses will cover the whole curriculum as well as the advantages of the things you will learn. Making it easier for you to choose for yourself is one of the main reasons why we are making this comparison.
IIM SKILLS vs AnalytixLabs Data Analytics Course Review
For IIM SKILLS vs AnalytixLabs Data Analytics Course Review, we are going to look at different facets of both institutes to provide you with clarity regarding the two training programs.
IIM SKILLS
This organization is considered as one of the top suppliers of online courses with a professional skills emphasis.
You are given everything you need through IIM SKILLS to excel at work or start the business of your dreams. These professional courses cover everything from the most elementary to the most complicated areas through a blend of theory and practicals.
IIM SKILLS helps you to reach your goals with top-notch professional courses that boost your competence, improve your present skills, and flourish in your working life. These courses are applicable to both careers and industries. The course material is carefully planned to help students develop their abilities and receive the best instruction.
Professional classes might aid you in identifying your passions. You will strive to enhance your skill set in order to turn your passion into a lucrative and worthwhile job. The list of courses that IIM SKILLS offers includes:
Tools and software expertise are necessary in today’s computer and technology-driven environment to succeed in any given industry. While AI bots cannot totally replace human intelligence, they can certainly contribute by streamlining and automating some processes. These large instruments end up being much more crucial in the case of data.
In light of this, at IIM SKILLS they make it a priority to strengthen your working understanding of the essential tools for the data analysis sector. Consequently, you will receive training in this direction to give you a competitive advantage when applying for positions in the real-market business.
You will be able to shine and truly make a difference in demonstrating your professionalism on the job if you possess the necessary tools and software expertise. It will not only enable you to make the most of your data drills but also unlock your hidden potential.
Course Modules
IIM SKILLS has developed this advanced data analytics course to teach and educate students about the real-world trends of data analysis in recognition of the growing relevance of data in market trends. This excellent program puts the complexities of Data Analytics front and center to prepare you for employment as soon as you finish the course.
Below Are the Course Modules:
Data Analytics Using Advanced Excel (9 Hours)
Data Analytics Using VBA (15 Hours)
Data Analytics Using SQL (39 Hours)
Data Analytics Using Power BI (24 Hours)
Data Analytics Using Python-1(10 Hours)
Data Analytics Using Python-2 (10 Hours)
Data Analytics Using Tableau (15 Hours)
R For Data Science (20 Hours)
Data Analytics Using Alteryx (18 Hours)
Course Objectives
This sophisticated Data Analytics course is designed by professionals with the following specific objectives in mind:
To acquaint learners with the fundamentals of data analysis, including its many forms, data mining, etc.
To enable students to do data-pulling, -cleaning, -manipulating, and -analyzing business analytics jobs.
To increase your understanding of how to use data analytics tools like Excel, Power BI, and Tableau.
Using Python as an alternative to spreadsheets to handle datasets.
To have a thorough understanding of statistical Data Analysis, which supports corporate decision-making.
Skills You’ll Acquire From Data Analytics Course at IIM SKILLS
The journey route for the Data Analytics course is laid out at IIM Skills to assist you in acquiring the necessary skills as you move through the courses. Having these industry-specific skills reinforced will give you an advantage over the competition while looking for attractive work opportunities.
The Following Skills You Will Acquire After Completing This Course:
Familiarize yourself with statistical terms like central tendency, correlation, dispersion, and regression. – Do well at SQL terminology such as command and query tools.
Learn the subtleties of lists, sets, contributions, branching, dictionaries, objects, and classes as well as other Python concepts.
Use the ideas of variables, conditions, loops, functions, etc. to develop Python programs.
Learn how to interact with, load, and save data using Pandas while reading and writing files in Python.
Learn how to use multi-dimensional arrays in NumPy, manage Data Frames in Pandas, and apply machine learning using Scikit.
Learn to get a solid understanding of data interpretation in Python.
Using Python libraries, analyze the performance of data analytics.
A solid understanding of classification approaches, linear and non-linear regression models, and both for the Data Analysis work process.
Learn how to effectively use clustering techniques including K-means, DBSCAN, and hierarchical clustering.
Learn how to use Excel to do business analytics.
Learn about Microsoft’s Power BI analytics and visualization capabilities.
Gain knowledge of Tableau’s model and statistics and develop your ability to create interactive dashboards.
Acquire knowledge of visualization techniques including market basket analysis, Pareto analysis, waterfall visualization, and heat maps.
Tools Knowledge
IIM SKILLS will make sure to strengthen your working understanding of the necessary instruments for the data analysis sector.
Candidates who have experience using data tools and technologies firsthand are preferred by all organizations and businesses. Therefore, be aware of all the helpful tools you will be using during this course:
Excel: When the word “data” is spoken, Microsoft Excel immediately comes to mind. The best platform for squeezing data into to obtain useful business insights is Excel. Excel includes a wide range of capabilities, including sharing workbooks, adding data to Excel, real-time collaborations, etc. Excel is the most significant Data Analytics tool.
Power BI: It is a cloud-based analysis solution that produces data insights. It is another Microsoft product. This built-in tool combines data from many sources to provide a comprehensive view of the company’s asset information. Our unique Data Analysis education curriculum teaches you how to extract data from sources and visualize it using Power BI.
Python: Almost any programming project involving data analysis may be completed using the Python language. Python software is user-friendly since it can operate on Windows, macOS, and Linux. Python is a high-end programming language used to build and maintain data structures because of its simple syntax and dynamic semantics.
Tableau: A top-ranked business intelligence tool, Tableau is yet another outstanding tool for data analysis and visualization. You may prepare, analyze, discuss, and share data insights throughout the enterprise while working on live data sets. Learn how to create dashboards, charts, graphs, maps, and stories to visualize and analyze data at IIM SKILLS.
Now, Let’s Talk About Analyticlabs’ Data Analytics Course:
AnalytixLabs
AnalytixLabs is well regarded and acknowledged for offering top-notch training courses that are created and given by professionals in the field.
Based on their impressive track record and high student satisfaction, they gradually advanced to gain the same reputation worldwide after establishing themselves as the best analytics training college in India.
Leading businesses from a variety of sectors, including Accenture, American Express, AbsolutData, Axtria, Bank of America, and McKinsey, hire their students. They are committed to assisting their clients in gaining proficiency in both fundamental and advanced analytics so they may become “Industry-ready” professionals and expand their career options.
Data Analytics Course at AnalytixLabs: An overview
This course at AnalytixLabs will accelerate your career as a data analyst by fusing the potent pedagogy of top-tier professionals with hands-on instruction. Their PG Data Analytics certification course provides all you need to succeed as an analyst, from fundamental ideas to advanced topics. This course will get you a Post Graduate Diploma or Certification in Data Analytics, depending on the module you select.
Learning Objectives
This course is ideal for you if you are an experienced professional wishing to upskill your abilities.
You can choose their post-graduate learning course, which also covers more sophisticated analytics if you’re seeking a combined option to obtain both certification and diploma credentials. You may all receive an AnalytixLabs graduation certificate by working together.
You might choose to enroll in further advanced courses after doing their post-graduate data analytics course, depending on your interests.
Python packages
Packages for Python Foundation’s Core
Python is necessary for data analysis and doesn’t call for highly developed programming skills. Core Python is a subset of Python that contains fundamental data structures and procedures.
You’ll discover Python packages, Python operators, the fundamentals of object-oriented programming, user-defined functions, Python data types, and much more with this course.
Data Visualization for Exploratory Data Analysis (EDA)
You will have a better understanding of the data, which helps with further data processing. You will then comprehend how interactive plots and charts in visualization may facilitate the exploratory data analysis process.
Data analysts can delve deeper into data sets and underlying data structures with the use of exploratory data analysis (EDA).
Basic Statistics and Statistical Methods for Analysis
Descriptive and inferential statistics are the two approaches used in statistical analysis. This lesson will show you how to summarize data using descriptive statistics such as mean and median and how to derive meaning from data using inferential statistics such as t-tests. These are the two main approaches.
Other statistical analysis techniques, including associational statistical analysis, predictive analysis, prescriptive analysis, causal analysis, and more, will also be covered.
Predictive Modeling Using Logistic Regression and Linear Regression
You will learn how to forecast future behavior using statistical techniques in the final module of this term. By examining past and present data, predictive modeling creates a model that forecasts future events. The two types of algorithms covered in this topic are logistic regression and linear regression.
Regression issues are handled using linear regression, which also produces continuous results. Classification issues may be handled, and discrete outputs are provided via logistic regression. Python will be used to teach you all you need to know about these techniques and model creation.
Additionally, you will develop soft skills like commercial acumen, business analysis, and the ability to translate data results into understandable language so that everyone can comprehend your forecasts.
The Two Most Crucial Skill Sets You’ll Acquire in This Course Are –
Technical skills:
Core python
Microsoft Excel
Tableau
Power BI
JIRA
Microsoft Powerpoint
Cloud computing
Decision-Making Skills:
This is one of the basic soft skills that is included in all data analytics certification courses. A data analyst cannot be successful without decision-making skills. You need to be able to explain your conclusions and outcomes to other executives.
Conclusion on IIM Skills vs AnalytixLabs Data Analytics Course
To fully understand the course content and the teaching methodology, it is advised that you attend the demo classes before enrolling in the course. If you’re unsure which of these two is right for you, it’s advised that you visit their websites and conduct comprehensive research.
In order to help you make a better choice for yourself, the major goal of publishing a compared article on the IIM SKILLS vs. AnalytixLabs Data Analytics Course was to make you aware of the technical components of the course. You will become an effective and market-savvy candidate with strong confidence after doing these sorts of professional courses.
Frequently Asked Questions (FAQs) on IIM SKILLS vs AnalytixLabs Data Analytics Course
Q. What is the estimated salary of a data analyst in India?
The typical salary for a data analyst in India goes from INR 3L to 14L.
Q. In how many months can I become a data analyst?
Six months is the recommended duration for a data analytics course.
Q. Who is eligible for a data analytics course?
Anyone wishing to begin a career in analytics can opt for the same.
Investment banking courses after the 12th grade open venues for aspirants who want to acquire jobs that offer lucrative pay. There are several ed-tech companies and government-recognized institutions and universities that offer courses in Investment Banking. These institutes offer courses in the form of undergraduate and post-graduate degrees. Finance-based courses, courses related to banking and financial analysis, and MBA degrees in the above streams are reasonable options for aspirants who want to explore the field of Investment Banking.
Why Should One Choose Investment Banking Courses After the 12th as a Career Option?
Investment Banking Courses after the 12th is a good career option in India. There are many reasons for this. A degree in Investment Banking is an added advantage for those who aspire to get a job in the field of finance. An Investment Banker helps in increasing the capital income for companies and organizations.
Managing marketing strategies and Chartered Accountancy are other fields that are closely related to Investment Banking. Some of the reputed Investment Banks include JP Morgan, Barclays, Goldman Sachs, Deutsche Bank, Rothschild, Citibank, Morgan Stanley, ICICI Bank, and Kotak Mahindra Bank.
What Are the Qualifications Required for Becoming an Investment Banker in India?
One must complete 12th grade before enrolling for an Investment Banking course. Following this one can opt for a degree in select fields. A bachelor’s degree in Commerce, finance-based subjects, Economics, subjects related to tax-based studies, investment-based studies, and BBA (Bachelor in Business Administration) are suitable options.
After acquiring a bachelor’s degree, it is necessary to take a master’s degree in management studies in the financial sector. An MBA degree in finance is a good option for potential aspirants in the field of Investment Banking. Programs offering certification as a Financial Analyst are valuable options.
What Are the Career Opportunities as an Investment Banker?
Investment Banking Courses after the 12th offer many job opportunities in the finance sector. The list of jobs includes tellers in banks wherein they help the customers use the various services of the bank.
Client Associate officers can undertake administrative jobs in banks. Bankers manage loan services, portfolio services, and multiple financial dealings. Finance Analysts assess the performance of companies.
They are responsible for creating the finance budgets of these companies. Financial Advisors work towards providing advice to clients regarding financial matters. They also assist families regarding the same.
Types of Jobs in India in the Field of Investment Banking
Investment Banking Courses after the 12th open venues for lucrative jobs in India. Finance Associates assist their clients in selecting the best financial services. These services include creating finance-based portfolios, monetary exchange, and the creation of new accounts in the respective banks.
Investment Banking Courses after the 12th provide associates with a strong knowledge of banking services. Analysing Portfolios is another job that requires Investment Banking skills.
Tellers in banks, Client Associate officers, Bankers, Bank Managers, Finance Analysts, and Bankers are other promising options for those who acquire a certified degree in Investment Banking.
As per the duration of experience, an Investment Banker can improve his position in the respective organization. He will join as an intern where he gets exposed to the industry. An intern mostly works on a contractual basis.
The starting salary per month for an intern will be ₹20,000 which goes up to ₹25,000. Based on their performance as per each project the stipend will increase. The intern later gets promoted to Junior Investment banker.
A Junior Investment Banker’s post is permanent. The monthly salary ranges from ₹50,000 to ₹65,000. His job requirements include consultation with clients who have loan-based queries and who are interested in short-term and long-term investments.
The next post following the promotion is Senior Investment Banker. A Senior Investment Banker heads a team of bankers who specialize in various roles in an organization. A Senior Investment Banker works towards increasing the capital of a bank by raising different bonds among the customers.
A Senior Investment Banker can expect a pay of ₹2,50,000 per month on an average basis. His salary will increase to ₹5,50,000 per month and more based on his efficiency in work.
List of Institutions That Offer Investment Banking Courses After The 12th
1. IIM SKILLS
IIM SKILLS offers a certified Master Investment Banking Course. It comprises a 3-month program along with a 1- month internship. The mode of learning is online. The fee for the course is ₹39,900 + GST. The course offers a 1-month internship for hands-on training.
The lectures cover more than 70 hours with 50 hours of extensive training and 20 hours of query-solving sessions.
The course also promises 100% placement. The course consists of 8 modules which cover Microsoft Word, Microsoft Excel, the fundamental principles of Finance studies and Marketing studies, Derivative Marketing, Collaterals for Marketing, Finance Modeling, and Evaluation of Business.
Graduation with BBA or B. Com is a prerequisite for applying for the course. The course is beneficial for aspirants of Chartered Accountancy and MBA, FRM, and CFA aspirants also.
Bhartiya Vidya Bhavan Institute of Management Science, Kolkata offers a wide range of Undergraduate and postgraduate courses in the field of management studies. The institute was founded in 1938 and it is affiliated with the Maulana Abul Kalam Azad University of Technology and the Department of Higher Education, Government of West Bengal.
The Institute offers online and offline admissions. It is a private institution. A minimum mark of 55% in MAT, CAT, XAT, or CMAT exams is a pre-requisite for admissions. The course fee is ₹5,51,000. The duration of the course is 2 years.
The Institute promises placement after graduation in reputed companies including Infosys, Cognizant, Tata Consultancy Services, MAQ Software, Whirlpool, Pepsi, Kotak, Wipro, ICICI Bank, and Citi Bank. The Institute conducts seminars and workshops to provide hands-on experience to the students.
The campus hosts a fully- functional library that stores books, journals of national and international importance, periodicals, CDs, e-journals, and newspapers. The Institute hosts a distinguished faculty. In 2019, the Institute was ranked 219 out of 284. In 2020, it was ranked 240 out of 292.
Asian Business School, Noida is a private institute that is AICTE-approved. The Institute is also approved by the National Board of Accreditation and it is affiliated to the Association of Indian Universities. Clearing the MAT, CAT, XAT, CMAT or ATMA exams is a pre-requisite for admissions.
Admissions are available both online and offline. Asian Business School, Noida offers Post Graduate Diplomas in Management in Marketing studies, Management studies, and Finance studies.
The duration of the course is 2 years. The course fee is ₹7,75,000. IIRF (Indian Institutional Ranking Framework) ranks Asian Business School, Noida at 42 out of 100. The Institute provides internships and guaranteed placements with packages ranging from 7 lakhs to 35 lakhs.
Companies that have partnered with the institute in offering placement as well as conducting seminars and workshops include Aditya Birla Group, Amazon, Ernst & Young, Deutsche Bank, HDFC Bank, ITC, Vodafone, Berger, and Future Group.
Explore here the other in-demand courses for career development:
Atharva Institute of Management Studies, Mumbai offers Post Graduate Diploma in Management. The Institute was established in 2003. The course fee is ₹4,10,000. AIMS is ranked 171 among 284 colleges all over India by India Today in the annual year 2019. The candidate should have a satisfactory score in exams which include MAT, CAT, XAT, AMMI, CMAT, MAH CET, or ATMA.
The cut-off percentage for XAT examinations is 80%. The Institute offers specialization in Human Resource Management, Finance based subjects, Information Technology, and Marketing strategies. The Institute has an experienced faculty. The campus offers a well-equipped hostel and adequate medical facilities.
The Institute offers guaranteed placements with lucrative packages in reputed organizations including UTI Mutual Fund, Square Yards, Lauren Information Technologies Private Limited, HR Anexi, ICICI Bank, HDFC Bank, and Amul. The highest package offered was 12 lakhs. Students have the option of applying for education loans and scholarships.
Looking for financial modeling courses? Here are the best ones for you:
KR Mangalam University, Gurgaon is a private University. It has been approved by UGC, NCTE, AIU, COA, ACU, and PCI. Businessworld Engineering school rankings have ranked the Institute as number 1 in the state of Haryana and number 22 in all of India.
The Institute offers courses on undergraduate, postgraduate, and research levels. The mode for applying for courses is online. The candidates should have satisfactory marks in exams such as AIEEE, UGAT, CAT, MAT, GMAT, NATA, GATE, JRF NET, and CUET on a national level and UPSEE on a state level.
The campus is spread across 26 acres. The Institute is equipped with a full-fledged library, a hostel with essential amenities, an auditorium, a gymnasium, and a sports ground. The course fee for an MBA is ₹2,70,000.
The course offers specialization in Human Resource Management, Finance, Marketing, International Business and Entrepreneurship. The Institute offers placements in reputed organizations including Deloitte, Cognizant, Wipro, Decathlon, and TCS. The highest package that has been offered is 36 lakhs.
6. SJMSOM IIT Bombay
Shailesh J. Mehta School of Management is a branch of IIT Bombay. It was established in 1995. The institute offers a 2-year program in MBA and research programs in management studies. CAT and GMAT scores are considered for admissions in Management studies.
The institute offers placements with lucrative packages, the highest being 54 lakhs per annum and the average package is 28.88 lakhs per annum. The fee for the MBA course is ₹6,91,100. Companies that offer placements include Tata Consultancy Services, Wipro, Procter & Gamble, Flipkart, Asian Paints, Deloitte, YES Bank, and Amazon.
The Institute promises placements at national levels and international levels. The MBA course focuses on sharpening knowledge and skill-based learning within the students.
The two-year program consists of eight terms. The students have to work on projects for two months after the first year. These projects are beneficial for the students to gain hands-on training in their select fields.
7. Alliance University Bangalore
Alliance University was established in 2010. It is a private university. The University is approved by UGC and AICTE. Scores from AUSAT, AMAT, and ARAT are considered at the university level. Scores from JEE main, CAT, MAT, CMAT, NMAT, UGC NET, and CLAT are considered on a national level and scores from KCET are considered on a state level.
The Institute offers courses on undergraduate, postgraduate, and research levels. Alliance University is a pioneer in South India in the field of private universities. The university has an experienced faculty. MBA is the Institute’s flagship program. It is a two-year course.
The course provides specialization in finance, marketing, human resource management, operations management, and international business. The institute offers the course on a full-time basis. The course offers electives that include entrepreneurship, fintech, and media and communication.
The curriculum ensures interaction with industry and interactive learning. The institute offers placements in reputed organizations including Quest, Reliance Communications, Nissan, Mahindra, Mahindra Lifespaces, Kotak Mahindra Bank, and Bosch.
8. Symbiosis Pune
Symbiosis Institute of Business Management was founded in Pune in the year 1978. The institute offers MBA courses for two years on a residential basis. The course fee is ₹24,59,000.
Admissions for the course include scores in the written examination along with group activities and interaction on a personal level. The institute is a part of Symbiosis International (Deemed University). NIRF ranks the institute among the top 50 universities in the country and among the top 250 universities across Asia.
The course offers specializations in marketing, finance, operations, supply chain management, human resource management, and analyzing data.
The institute’s infrastructure includes spacious classrooms, well-equipped hostels for girls and boys, spacious auditoriums for conducting seminars and other important functions which are equipped with audio-visual technology, and a cafeteria that adheres to basic hygiene standards.
The institute houses a medical center that is equipped for various medical emergencies. Annual medical check-ups are conducted for the staff and students alike. Students and staff can also avail benefits of the fitness center and gymnasium within the campus. The campus has a football ground, a cricket ground, a basketball court, a swimming pool, a pool table, and a coaching center for chess.
9. IGNOU
Indira Gandhi National Open University (IGNOU) offers MBA courses in Investment Banking and Equity Research. The course fee is ₹62,000. Candidates must clear their graduation with 55% marks from any recognized university following which they must appear for an entrance examination. The course period can extend from 2 years to 4 years.
The institution has a dedicated placement cell for the candidates. The mode of learning is distance education. The course has been designed in collaboration with IGNOU and the Indian Institute of Banking and Finance.
The curriculum aims to meet the changing needs of the banking sector. The course is useful for sharpening the management skills of students who are working in the banking sector.
The program comprises 28 subjects which have a total of 116 credits. 20 subjects are core courses. 7 subjects belong to the specialized area and 1 course is a project which will be assigned to the student. The program aims to provide comprehensive knowledge and experience to the student.
10. Udemy
Udemy is an ed-tech company that offers online courses in more than 120,000 subjects. Udemy offers courses on investment banking. The price of the course is ₹649. The classes are presented in the form of recordings. The site provides lifetime access to the recordings.
The site also promises a 30-day money-back guarantee in case the customer is not satisfied. Companies including Nasdaq, Eventbrite, Volkswagen, box, and NetApp trust the program. The course consists of 30 parts and is spread across 210 hours of recording.
The course contains a comprehensive study of the field of Investment Banking. The topics that are taught include fundamentals of Investment Banking, Capital, Marketing, Trading, topics related to Discounted Cash Flow, and topics related to Leveraged Buyouts.
Udemy provides options for accessing classes through mobile phones and computers. ‘The Complete Investment Banking Course 2023’ has been ranked as the best-selling course in Udemy with a star rating of 4.5.
FAQs: Investment Banking Courses After the 12th
1. What is the importance of an internship in Investment Banking courses after the 12th?
Internships and projects provide ample scope for students to gain hands-on experience in a respective field. An intern gets opportunities to work with companies and develop experience in the field. He gains industrial exposure during his phase as an intern. Universities and institutions that conduct Investment Banking Courses after the 12th provide internships with reputed companies. Interns can acquire opportunities to work along with a stipend. An internship period can extend from days to a year or a bit more.
2. What is the difference between commercial banking and investment banking?
Commercial banks are organizations that provide financial services. Customers can apply for loans based on their requirements, open bank accounts on a current or savings basis, and deposit and withdraw money. Commercial banks make profits by lending loans to their clients whereby they earn the interest from these loans. Investment bankers help their clients in undertaking finance-based dealings. They also help companies with acquisitions and mergers. The clients of Investment Bankers are organizations and companies, whereas the clients of Commercial Banks include individuals.
3. What is the scope of Investment Banking Courses after the 12th outside India?
Investment banking is a good option as a profession in India and abroad in other countries. The United States of America is the best country for aspiring Investment Bankers since they are highly paid there. The starting salary for an Investment Banker who starts his career as an analyst is $75,000. Senior analysts can earn up to $95,000. The basic salary of an analyst in the United Kingdom starts from £50,000. Senior analysts earn up to £294,000. Investment Bankers also enjoy attractive bonuses which include health benefits, retirement benefits, and incentives.
4. Which universities offer Investment Banking courses outside India?
A significant number of colleges and universities outside India offer investment banking courses after the 12th. Some of the prestigious universities in the United States of America include the University of Pennsylvania, New York University, University of Michigan, The University of Texas at Austin, Cornell University, The University of Chicago, and Princeton University. Universities in the United Kingdom include Imperial College London, London School of Economics and Political Science, University of Warwick, University of Oxford, University of Cambridge, Aston University, Brunel University London, and Durham University.
5. Can auditors and chartered accountants benefit from Investment Banking courses after the 12th?
Investment Banking Courses after the 12th cover topics including investment-based studies, tax-based studies, mergers and acquisitions of companies and organizations, financial analysis, finance modeling, and essential concepts in accounts and finance studies. The duties of auditors and chartered accountants include ensuring regular payment of taxes and updating their financial records. Aspiring auditors and aspirants of Chartered Accountancy will have an added advantage if they secure a degree in Investment Banking. They can expand their job prospects.
6. Which are the competitive examinations one can clear for eligibility for Investment Banking courses after the 12th?
Aspirants for Investment Banking Courses after the 12th in reputed universities and institutions in India need to pass competitive examinations with satisfactory cut-off percentile as per the rules of the respective institutions. These examinations include AIEEE (All India Engineering Entrance Examination) which is presently known as JEE (Joint Entrance Examination), UGAT (Undergraduate Aptitude Test), CAT (Common Admission Test), MAT (Management Aptitude Test), GMAT (Graduate Management Test), NATA (National Aptitude Test in Architecture), GATE (Graduate Aptitude Test in Engineering), UGC NET (University Grants Commission National Entrance Test), CUET (Common University Entrance Test), XAT (Xavier Aptitude Test) and ATMA (AIMS Test for Management Admissions).
Investment, from an economic standpoint, is the act of putting one’s money into financial undertakings or any business enterprise to procure a profit from them. Thus, investment banking is a component of banking that incorporates various activities ranging from assisting a person or a corporation in raising capital and managing their assets to advising companies on mergers and acquisitions. Investment banking is a beckoning career option for finance enthusiasts. Moving further, we will discuss the best courses for investment banking in India.
The word ‘bank’ finds its origin in the Italian word ‘banco’ which means bench. During the Renaissance, the top of the benches served as a medium for the exchange of money between the people living in Florence.
Investment banks operate as a bridge between corporations in need of money to finance their schemes and investors who have money to invest. Investment banks do not take deposits and therefore, they are dissimilar to commercial banks.
The prime responsibility of an investment bank is to counsel organizations and governments on how to tackle financial impediments and manage risk.
Before conversing about investment banking courses in India, let us take a sneak peek at why investment banking is a lucrative career option.
Excellent Salary – Individuals looking out to earn big may choose investment banking as their career. A successful investment banker acquires a massive remuneration package with additional bonuses and considerable incentives. This is worth all our time, energy, and grind. An investment banking analyst makes an average of INR 9.5 Lakh per year in India. The figures may vary depending on the location, expertise, institution, and performance.
Skill Enhancement – This job calls for some phenomenal conversational skills moving from being a persuasive speaker to a great negotiator, an investment banker ought to have it all. Apart from this, they are anticipated to be influential leaders and make rapid but substantial decisions. An investment banker must be vigilant and be able to block out all the distractions at work. These skills keep nurturing with time if one’s attention is centralized on the task they are performing. There are some investment banking training that one might enroll in, to gain a larger and broader understanding of this subject.
Strong networking – Investment bankers tend to keep in touch with senior officials which allows them to build professional relationships with them. These connections may help them to climb the ladder of success quite early in their careers with promotions and high spikes in their salaries.
Subjection to a wide range of industries – Investment bankers get to work with people from diverse backgrounds like technology, healthcare, etc. As a consequence, they get an awareness of the respective industry and its economic status.
Some of the criteria to flourish as a prosperous investment banker in India are stated below in this segment. Let us first look at the mandatory educational qualifications required, to be eligible to be established as an investment banker in India.
To enter the investment banking field as an intern, a bachelor’s degree in finance, accountancy, or commerce is needed. Graduate degrees from renowned institutions can be providential to step into any organization as an analyst.
An MBA in Finance from a reputed college can pave the way for a candidate to set foot into this field. Students are taught about management, finance, accounting and so much more under this program. They have critical thinking abilities and good leadership qualities, therefore, such candidates are given more preference than others. This is one of the best courses if one needs to be placed in a reputable position in any company.
Chief Financial Analysts can go on to become investment bankers because they possess decision-making and mathematical skills, and problem-solving capabilities. These skills are preferred to become an investment banker.
There is a wide range of institutes across the world that offer the best courses. Apart from this, an individual needs to be proficient in interacting with people, being able to coax someone, negotiate well, and make sturdy judgments. Patience and concentration are other vital attributes to becoming an investment banker.
Investment bankers tread on a progressive path in their profession. From being a junior analyst to a senior manager, all industrious individuals prosper excellently.
Investment banking analyst – The lowest in the hierarchy is an analyst. Generally, they are individuals who finish their graduation and enter this domain for some good exposure. Their position of employment predominantly calls for the following tasks: presentation, analysis, and administration. They are presumed to make a huge number of presentations that require a lot of engagement. Organizing conference calls and meetings and taking care of travel arrangements are some other tasks they are expected to perform. Typically, they work for two years before they are either promoted to an associate or are permitted to leave the organization. One can sign up for one of the best courses to earn more as an analyst and permanently establish themselves in the organization.
Associate – Associates are directly appointed or promoted from analyst to associate. Their field of work is similar to that of an analyst with some added responsibilities like acting as a link between junior and senior workers. After working for a significant period, an associate goes on to become a Vice President.
Vice President – A Vice President is responsible for the development of business and making sure that the deals are efficiently carried through. They make good relations with organizations and corporations to keep the business running smoothly.
Managing Director – The Managing Director reports directly to the higher authorities. They interact with clients bring in money and grow business for the bank.
To know more about the tasks the employees perform in an investment bank, one can register their name in one of the best courses for investment banking in India.
Salary Scope and Structure of an Investment Banker in India
The salaries of investment bankers differ based on their position and years of experience in the organization they have been working for. The average salary that an investment banker receives in India is ₹ 9.6 lakh per year. The figures may vary from ₹ 2.46 lakh per annum to ₹ 70 lakh per annum.
This is inclusive of all the bonuses and profits. An analyst can earn up to ₹ 25.5 lakh per year. At the associate level, an investment banker may earn something between ₹ 15 lakh to ₹ 30 lakh.
The salaries for the same positions may vary for different organizations and institutions. Individuals have a better chance of earning high figures if they join one of the best courses for investment banking that offers placement along with its course.
List of 9 Best Courses for Investment Banking in India
1) IIM SKILLS
IIM SKILLS is a leading ed-tech company that began its journey as an education company by Vaibhav Kakkar in the year 2015. They began with their first course in content writing followed by a wide range of courses in sectors like banking, finance, data science, and digital.
Today, they are in the No. 1 position on the list of top educational companies in the world. Among all the courses they offer, Investment banking courses in India have the highest ranking and are the most recommended courses in the world.
They offer all their courses on a digital platform which helps students to participate from anywhere in the the world. IIM SKILLS Investment Banking Course has a certification with global recognition. IIM SKILLS also assures job placements & guaranteed internships.
The course syllabus is structured and covers all the important topics under the investment banking course & is regularly updated as per the market standards. The Course is a 3 month of comprehensive live training on a digital platform and every session is recorded to share with all the participant for their future reference.
The learning materials are given free access for a lifetime. In short, IIM SKILLS allows the students to have flexible learning opportunities because of which they don’t have to compromise with their current commitments whether professional or personal responsibilities.
All these facilities are offered with a budget amount that can be affordable by every class. Also, the fees can be paid with zero-interest EMI. A 10% additional discount offer is given to those who want to make group registration.
The PG program in Investment Banking and Financial Modeling is an online course that comprises both live and pre-recorded lectures. The program is for graduates who may or may not have any working experience.
The course curriculum includes the fundamentals of finance, knowledge of financial statements, macroeconomics and microeconomics, detailed discussion on both investment banking and financial modeling, and much more.
The program is led by expert instructors who have had a promising experience in this territory. They conduct classes on weekends for professional workers. This is a 6-month certification program that guarantees placements to its participants.
Anyone who is looking to have practical experience along with theoretical knowledge in the field of investment banking can enroll in this program because it provides opportunities for ample case studies as a part of the program. Apart from this, students get assistance in portfolio building and interview preparation.
Certified Investment Banking Operations Professional (CIBOP) is an investment banking course run by Imarticus Learning. The course runs on both online and offline modes. This program is for students who have graduated from a finance background and have had some or no experience as a working professional.
While it takes 2 months to complete the course for individuals doing it full-time, it takes 3 months to complete the program for those who prefer doing it part-time. For more information about the offline program, interested candidates must visit their nearest center.
All the students are qualified for placements irrespective of the mode they choose to complete the program. Students are introduced to investment banking, taught about the different ways they can use to manage risk, and much more.
The program is certified and guarantees jobs to all the candidates registering for this course. This course has been rated one of the best courses for investment banking by Google and Facebook with a rating of 4.5.
4) Udemy
Duration: 13 hrs 31 mins
Format: Online
Course fee:₹ 649
The Complete Investment Banking Course 2023, an online course offered by Udemy is one of the best courses for investment banking that offers certificates on its completion. Students get lifetime access to all the lectures and other study material.
It is the best for people with absolutely no knowledge of investment banking since they start from the basics and gradually progress. They have to offer a plethora of study materials ranging from PDFs, excel files, and HD videos to infographics, quizzes, and notes concerned with the course.
The topics that the course contains are -: An in-depth study of investment banking, a discussion on the sources of revenue in the investment banking sector, guidance on correctly valuing a company, etc.
They have an additional lecture at the end that they call a bonus lecture. They claim to have a supportive network with competent instructors.
5) EduBridge
Duration: 326 hours
Format: Online
Course fee: ₹ 69,000
Advanced Certification Program in Investment Banking Operations by EduBridge enables an individual to gain an understanding of the economic strategy existing in India. Students are taught about Financial Modeling and all the concepts associated with it.
The course not only offers insight into the field of investment banking but also informs an individual about the functions and duties of the people working in an investment bank.
EduBridge promises a job guarantee to all its students and provides easy access to EduBridge’s job portal. They help students build a LinkedIn profile and give suggestions on how to be distinctive from others. To be eligible for this program, a student needs to be from a finance/ commerce/ business background. The age of the student applying for the program must be 18 or above.
The program is conducted in English, therefore, one needs to have a good command of English. Students owning a desktop/laptop with a webcam must only register for this course because mobiles are not allowed.
6) Erasmus University Rotterdam
Duration: 5 weeks
Format: Online
Course fee: Free of cost
This course by Erasmus University Rotterdam aims at delivering knowledge about the most contemporary market trends. The course is useful for individuals who want to learn about corporate finance and strategies related to it.
This course educates individuals about the latest tools linked with investment banks and their applications. Since the course is free of cost, it makes it one of the best courses for investment banking available, for students.
The medium of instruction of this course offered by Erasmus University is English. The course claims to transform the decision-making ability of students. This course is mainly for individuals aspiring to become CEOs or CFOs. Graduates in Finance, Economics, Business, and Commerce can also apply for this course.
7) E&ICT Academy, IIT Guwahati
Duration: 5 months
Format: Online
Course fee: ₹98,040
Investment Banking Certification Course By E&ICT Academy, IIT Guwahati is an extensive course for people who are willing to construct a career in the field of investment banking. This course covers all the significant topics that are needed to become a successful investment banker.
The course is conducted over 5 months by subject matter experts. 24*7 support is obtainable to render clear all the doubts. Their team helps its students in placements and gives career advice to the people who need it.
The modules contained in the course are – investment banking basics, a detailed description of the lending and borrowing system, concepts related to cash equity, an introduction to ISDA, and others. Before enrolling, individuals must make sure that they are aware of the concepts of finance and accounting and are adept at using Microsoft Excel.
8) The WallStreet School
Duration: 6 weeks or 2.5 months
Format: Online
Course fee: 6 weeks – ₹45,000 + GST
2.5 months –:₹ 42,000 + GST
The Investment Banking Training by The WallStreet School is a comprehensive course that provides individuals a chance to assimilate important topics connected with Investment Banking. To participate in the 6-week duration course, students need to pass an ‘Eligibility Interview’.
It has a limited number of seats so the admission is purely merit-based. The timings for the 6-week program are:- 9 am to 3 pm from Monday to Friday whereas the 2.5-month program is conducted on Weekends.
A fee of ₹1000 is charged for the eligibility interview and if the candidate manages to get through the interview, the interview fee is adjusted in the course fee otherwise it is refunded.
Anyone who is inclined to make a career in finance can join this course. In the past, CAs, CFAs, students pursuing CA and CFA, graduates, engineers, and other working people have participated and benefitted from this course, making it one of the best courses for investment banking.
9) IMS Proschool
Duration: 120 hours
Format: Classroom learning and live virtual classroom
Course fee: Classroom learning – ₹ 50,000
Live virtual classroom – ₹ 35,000
The Certificate in Investment Banking Program gives an extensive overview of how the financial industry works. From banks, insurance, and financial services to management of assets, valuation, and financial statements, the course covers it all. All the lectures are recorded and can come into use in the future.
Students can choose to study online or offline as per their preference. This course is for undergraduate students or individuals who have completed their graduation in Master of Business Administration (MBA). This course teaches skills like financial modeling, equity research, analysis of valuation, and so much more.
The training faculty is inclusive of investment bankers and analysts who have had 10 years of expertise in this domain. A certificate is awarded by IMS Proschool and NSDC after the completion of the course.
Frequently Asked Questions
1) How are investment banks different from commercial banks?
Investment banks help corporations, individuals, and governments to raise capital, advise organizations on mergers and acquisitions, and provide underwriting services whereas commercial banks facilitate financial assistance which includes credit creation, granting loans, etc. Commercial banks accept deposits for a fixed period at a specific rate of interest.
These deposits are termed fixed deposits. Investment banks do not accept deposits but emphasize advising their clients. The target customers of investment banks are large corporations, organizations, governments, high-earning individuals, etc while commercial banks have a vast target market including regular people, small businesses, etc. Since commercial banks have a larger target market, they tend to have an extensive number of employees compared to an investment bank, and thus, job prospects are better in a commercial bank.
The risk rate is low for commercial banks because the service acquisition is high while it is comparatively higher for investment banks because it depends on factors like the stock market, exchange rates, inflation, etc. Both banks are different from one another in the types of functions they perform.
2) How do investment banks make money?
Investment banks generate revenues through several methods. They act as a middleman between investors and companies wanting to raise capital. When these both connect to trade and finalize a deal, the bank charges a commission on each of the deals. Investment banks also charge fees for advising firms on mergers and acquisitions. Mergers happen when two separate organizations collaborate to form a sole unit. Acquisitions come about when one business acquires another.
These pacts take a lot of time and drain energy because most of the companies are not acquainted with the way these deals are carried out and therefore, they require a lot of assistance from the investment banks. As a result, the investment banks charge a hefty sum from them for the benefits they provide. Investment banks employ a lot of people for research because they aim to provide their clients with the latest reports.
Since they are specialists in their occupation, individuals and institutions pay them a lot to get access to these reports. They charge money for asset management and do proprietary trading too. As stated, their income comes from different sources and if one of the sources fails to bring the revenue in at some point, the others are always present.
3) What are mergers and acquisitions and why are they important?
Mergers occur when two business firms or institutions consolidate together to form a solitary unit. Acquisition is when one company purchases another company but the name of the other company does not change. Mergers and Acquisitions are important for business because they help in scaling a business and bringing potential growth by reorienting and combining both the company’s resources.
Conclusion
Investment banking is indeed a remunerative field of work for business and finance lovers. Its popularity is continuously increasing and so is the competition to be at the top. To accomplish a good status in this field, one does not only have to get admitted to one of the best courses for investment banking available but also inculcate the skills required to become a flourishing investment banker.
If you are among those people who want to build a career in the field of Data Analytics and science then you are going to find this guide immensely helpful as it will take you through all the necessary details and particularly answer your queries on Data Analytics Entry-Level jobs. In this article, we are going to talk about 6 Data Analytics Entry Level Jobs To Kickstart Your Career. So keep reading to understand the different roles a Data Analyst has to play along with the requirements for certain job roles.
What is Data Analytics?
All companies are collecting data every day and some of them already have huge databases. This data serves no purpose until and unless someone can understand the data and make sense of the raw data. This is where Data Analytics comes into action.
Data Analytics is the process of analyzing raw data to draw meaningful conclusions and actionable insights to help better decision-making and also drive business growth.
It is the duty of a Data Analyst to gather all the available data, organize it, and then analyze it to give business intelligence. By drawing conclusions from the findings a data analyst will give suggestions or recommendations for the progress of the company or business.
When a company faces specific problems or challenges, a data analyst steps in and gives practical solutions to the current problems by analyzing the data trends. For example, a data analyst will help with identifying customer behaviors and patterns, the UX of certain tools, etc.
Data Analytics allows you to make informed choices based on what the data is telling you rather than making decisions on guesswork. When you are armed with insights based on data, you are able to understand the needs and preferences of your audiences, your competition, and your business as a whole much better and plan accordingly.
So if you find the field of Data Analytics exciting, and thinking about a career as a Data Analyst, then the 6 Data Analytics Entry-Level Jobs to kickstart your career will surely benefit you.
A simple and surface-level type of analysis is known as Descriptive Data Analytics. It is about analyzing past data. Data Aggregation and Data Mining are the two main techniques that are used in descriptive analytics.
The aggregation part involves the data analyst collecting all the available data and presenting it in a summarized format and the mining part is where the analyst will dig deep to discover patterns.
Then the findings are presented in simple language for a wide range of audiences to understand. The purpose of Descriptive Data Analytics is to determine and describe the “what”.
2. Diagnostic Analytics
Diagnostic Analytics involves exploring the question of “why”. While doing Diagnostic Analytics data analysts will try to locate any anomalies present within the data. For instance, if there was a sudden drop in sales in a particular month the analyst will try to figure out the cause.
Predictive Analytics is all about predicting what is likely to happen in the future just as the name suggests. Predictive analytics is important for business decisions as it eliminates guesswork. Even though predictive analysis can never be completely accurate but it does give data-driven insights about what the next steps of a company should be.
Predictive analysis is useful in all the areas of a business from deciding what products will be popular at a particular season to estimating the revenue increase or decrease for a given time period.
4. Prescriptive Analytics
Following Predictive Analytics, Prescriptive Analytics builds on the actions and decisions that should be taken. Prescriptive Analysis guides a business on how to take advantage of the situations that have been predicted with the help of Predictive analytics. Prescriptive analysis will guide the different actions that should be taken by a business.
Even though Prescriptive analysis is a more complex type of analysis, it can have a great impact on the company’s decision-making process and also on its revenue. All of these processes are to be implied when you will be working in data analytics entry-level jobs.
What It is Actually Like to Work as a Data Analyst?
The role of a Data Analyst will vary from business to business. Below we have listed some of the typical day-to-day tasks that a Data Analyst has to do at data analytics entry-level jobs:
Manage user satisfaction surveys and data visualization software.
Work with businesses to develop requirements, define success metrics, manage and execute analytical projects, and evaluate results.
Identify opportunities for improvement through monitoring of practices, processes, and systems.
Translate important questions into concrete analytical tasks.
Gather new data to answer client questions.
Application of analytical techniques and tools to extract and present new insights to clients by using reports and interactive dashboards.
Translate complex concepts and data into visualizations.
Do team collaborations to find the best product solutions.
Design, build, test, and maintain backend code.
Set up data processes, define data quality criteria, and implement data quality processes.
Ensure that the data being recorded is accurate by building data validation models and tools.
Take part in teamwork to evaluate and analyze key data that will be used to shape future business strategies.
6 Data Analytics Entry-level Jobs to Kickstart Your Career
1. Entry-Level Operations Analyst
Roles you need to perform as an Entry-Level Operations Analyst:
As the name suggests you will be working on the operational aspects of a business.
As an Entry-Level Operations Analyst, you will be analyzing the effectiveness of the different day-to-day business operations and measuring their effectiveness.
Also, it will be part of your job to suggest changes for the betterment of different operational procedures and also to increase their effectiveness at the same time.
The nature of the business that you are working for will greatly influence your job roles. For instance, if you are working for an e-commerce business, you will be looking after the warehouse and delivery operations. On the other hand, if you are working in a bank, customer acquisitions and underwriting processes will be your areas of concern.
Requirements for being an Entry-Level Operations Analyst:
A strong ability to study business processes
Analyzing and making sense of complex data sets
Can make strategic business decisions with the help of insights from the available data
Efficient in critical thinking
So an Entry-Level Operations Analyst’s job is one of the 6 Data Analytics Entry-Level Jobs to kickstart your career.
Roles you need to perform as a Junior Quantitative Analyst:
This job demands number-crunching
Provide valuable insights to boost the profits for the business
There is a huge demand for Quantitative Analysts in the Finance Industry. They are hired to architecture algorithms to help with the venture of capital firms, hedge funds, and investment banks, assessment of opportunities for investments, measure the risk factors, and detect frauds.
Requirements for being a Junior Quantitative Analyst:
You have to be strong in Maths
Good skills in Statistics are also a must
A Junior Quantitative Analyst’s job is one of the 6 Data Analytics Entry-Level Jobs to kickstart your career.
Check here the top-ranked data analytics courses to get a high-paying job:
Roles you need to perform as an Entry Level Healthcare Data Analyst:
There are different positions available in the Healthcare Sector for a Data Analyst.
If you are working in Healthcare Research, you might have to take up the core role of a Healthcare Data Analyst. However these kinds of positions typically require a healthcare background.
You can also look after the operations of hospitals and other healthcare service providers.
There is also the opportunity to work with public health bodies to provide them with regulatory frameworks based on data and also perform data analysis for these bodies.
Requirements for being an Entry Level Healthcare Data Analyst:
You need to have knowledge of image processing and image classification if you want to apply for job roles in the healthcare research sector.
You should also be confident and comfortable in working with large volumes of data sets.
An Entry Level Healthcare Data Analyst’s job is one of the 6 Data Analytics Entry-Level Jobs to kickstart your career.
4. Junior Financial Analyst
Roles you need to perform as a Junior Financial Analyst:
When seeking a job as a Junior Financial Analyst you will find most of the jobs in banks, hedge funds, or insurance companies.
There are also a lot of vacancies for this job role in venture capital firms.
Requirements for being a Junior Financial Analyst:
This is a number crunching role therefore strong skills in maths are a must as you will be working with quantitative data.
Foundational concepts of the financial sector.
The knowledge of Python language.
A Junior Financial Analyst’s job is one of the 6 Data Analytics Entry-Level Jobs to kickstart your career.
Roles you need to perform as a Junior Business Intelligence Analyst:
You will be working on projects analyzing the data for market trends, products, and data.
Understanding the industry and the requirements of the company you are working for quickly.
You will also have to be good at digging up all the business data and bringing it together for a deeper analysis.
Requirements for being a Junior Business Intelligence Analyst:
Basic skills in data analysis are most of the time sufficient for this type of role.
Sourcing data and building data storage structures are also important skills for being a Junior Business Intelligence Analyst.
Some roles might require knowledge of special business intelligence tools like Domo or Rapid Insight.
A Junior Business Intelligence Analyst’s job is one of the 6 Data Analytics Entry-Level Jobs to kickstart your career.
6. Entry Level Manufacturing Analyst
Roles you need to perform as an Entry Level Manufacturing Analyst:
You will have to gather data from the manufacturing units do a thorough analysis of all the gathered data and generate insights to guide business decisions.
You will have to work with sensors and other devices used to generate data insights.
You will also be in charge of identifying other key data sources on the factory floor.
Requirements for being an Entry Level Manufacturing Analyst:
You have to understand the functioning of the factories.
Spending time on the factory floor to gain real-time experience.
Knowledge of basic data analytics tools and programming languages such as Python and R for the analysis of the available data.
An Entry Level Manufacturing Analyst’s job is one of the 6 Data Analytics Entry-Level Jobs to kickstart your career.
Data Analytics Skills That Will Help You to Get Hired in Data Analytics Entry-level Jobs
Technical Skills:
Data Visualization- It is the process of presenting data in the form of graphics or other illustrations. The purpose of Data Visualization is to explain data-driven insights in a simpler form for a better understanding.
Data Visualization is an extremely necessary skill and according to a survey by LinkedIn Learning, it was reported to be the number one skill.
Data Cleaning- It is a critical step and often takes up a significant time of a data analyst’s working hours. When a properly cleaned dataset is available even simple algorithms can give remarkable insights. Uncleaned data will mislead conclusions and therefore data cleaning skills are necessary.
MATLAB– MATLAB is a programming language that allows analysts to save the time they usually spend pre-processing data and this facilitates quick data cleaning, organization, visualization and businesses interested in big data have begun implementing MATLAB because of it. MATLAB can be executed in any machine learning model built in its environment across multiple platforms. The knowledge of MATLAB isn’t a necessary skill but keeping in mind its usefulness, having at least a working understanding of the knowledge improves your chances of getting hired.
R- R is one of the most widely used programming languages in Data Analytics. This language is very appealing to businesses as it can handle large sets of data as well as complex datasets. Keeping in mind the popularity and functionality of R, learning this programming language should be on the high-priority list if you want to land a job in data analytics.
Python- Python is a high-level, general-purpose programming language, and learning this language should be the top priority for would-be analysts. In the current AI-influenced professional landscape, the importance of Python is increasing each day.
SQL and NoSQL- In modern analytics, SQL is regarded as the standard means for querying and handling data in relational databases. SQL has a foothold in companies everywhere as well as has a high demand among companies because of its functionality and maintained effectiveness and its popularity shows no sign of coming down any soon.
You should be learning SQL if not for its function, then to increase your job prospects. You should familiarize yourself with branded versions of SQL such as MySQL which offers opportunities for gaining a greater understanding of relational database management systems.
NoSQL databases should also be given equal importance. As per the name, NoSQL systems don’t organize their data sets along SQL’s relational lines. NoSQL frameworks can effectively structure their information in any way when the provided method isn’t relational.
Machine Learning- Having a general understanding of Machine Learning and its related tools and concepts will give you an edge over other fellow job seekers. Even though all data analysts may not be working on machine learning projects but will definitely help you in getting hired.
Linear Algebra and Calculus- If you want to be a Data Analyst, you have to have strong mathematical skills. Linear Algebra and Calculus are the two specific fields the importance of which is non-negotiable in data analysis. In machine and deep learning linear algebra is applied whereas to build objectives, cost, and lost functions calculus is used. Most of the time you won’t be needing a very strong theoretical foothold for real-life applications.
Microsoft Excel- Microsoft Excel is a well-used tool among businesses as it is very good at automating certain features and commands for better data analysis. Excel has its own programming language which is VBA. Excel uses VBA to create macros or pre-recorded commands. When VBA is deployed correctly, it can save human analysts a lot of time on frequently performed and repetitive projects such as accounting, payroll, or project management.
Key Soft Skills:
Only technical skills can make you a successful Data Analyst. There are many soft skills that are required for a successful career.
Critical Thinking- You have to not only look at data but also make sense of it and explain its applications beyond numbers. You have to have the skill of critical thinking to think analytically about the data identify the patterns form actionable insights and give valuable information for better business decisions.
Communication- You must be capable of explaining your findings to others if you want to be a good Data Analyst. To put it in simple words you have to become “bilingual” that is having the capability to address highly technical points to trained peers as well as provide clear and easy-to-understand explanations to the business owners or the decision takers. If you are unable to do so, you have to still build your skill set as a data analyst.
Teamwork- You should be a good team player.
Domain knowledge- Good knowledge of the domain is also necessary.
All of the above-discussed technical and non-technical skills will help you to land your first data analytics job.
❖ FAQs
❖ What is the role of an Entry Level Data Analyst?
In large data analytics projects, an entry-level data analyst looks after the smaller sections of the large project. They primarily play the role of collecting and analyzing complex data sets. Their key focus is to generate useful insights to help the company make better decisions and improve its strategies.
❖ How hard it is to get hired for Data Analytics Entry-Level jobs?
No, it is not hard to get hired for data analytics entry-level jobs if you have the right skills and the correct mindset. Companies also hire people who have attended Data Analytics Bootcamps but have to clear the company interviews. When it comes to getting a job companies primarily focus on the knowledge and skills of a candidate rather than a college degree. You should build a good and attractive Data Analyst portfolio and also mention your own real-world projects to increase your chances of getting hired.
❖ Is Coding necessary for a Data Analyst?
It is not necessary for all Data Analysts to know the language of coding. Some Data Analysts use mathematical analysis whereas some may prefer Microsoft Excel as their primary analytics tool. But the knowledge of Coding will give you an upper hand at your workplace and will make you a multi-tasker.
❖ How are Data Analytics and Data Science different?
Even though the terms Data Analytics and Data Science are used interchangeably, they are two very different fields that lead to two different career paths. The key difference between these two fields is how they treat the available data and make the deductions to reach a final outcome.
A Data Analyst is called in when the organization has already identified its problems and challenges and the analyst takes over the job to identify complex datasets and give suggestions to the organization on means to overcome the challenges by means of data-driven strategic decision-making.
On the other hand, a Data Scientist will work on what type of questions a business should be asking or can ask in the future. Their jobs include: designing new processes for data modeling, writing algorithms, devising predictive models, and also running custom analyses.
❖ How stressful Data Analytics entry-level jobs are?
As a job Data Analytics alone is not at all stressful and can turn out to be quite rewarding for those who enjoy this field. But if you feel overwhelmed by your workload you can always have a conversation with your manager. Data Analytics could be your dream career but to be successful in this field, you need to have the required skills. With consistent hard work and patience, you can surely reach your goals.
The Indian Investment Banking market share in 2020 was $3.3 trillion with Mumbai commanding a 57.44% market share in the Investment Banking Industry. Investment Banking jobs at present enjoy a cushy no. 3 position in the world’s top 10 highest-paying job titles. With a 57.44% share in the investment banking industry in India, and the hub for corporate headquarters of all big banks, financial companies, and industries, investment banking jobs in Mumbai are the most lucrative options for job seekers. Here is a brief insight into Investment Banking and its scope in Mumbai.
Overview of the History and Investment Banking Industry
Investment Banking in India took root in the 1970s when the State Bank of India first formed the Bureau of Merchant Banking. The first banking body to offer merchant banking services in India was ICICI. By the 1980s there were 30 more banks that had joined the bureau and were offering their services.
After 1500 banks registered for membership in the State Exchange Board of India, the Association of Investment Bankers in India was formed to ensure that India’s legal and ethical practices were followed. As of today, 2023 there are in total 839 Investment Banking firms all across India.
Mumbai alone boasts being home to 366 top investment firms out of this list. To add to the lists of further recognition, out of the top 55 global Investment Firms in India, Mumbai alone is the headquarters of 20 out of this list.
Skills and Qualifications Required for Investment Banking
For securing any Investment Banking Jobs in Mumbai let’s take a first glance at the qualifications that most of investment banking institutions demand:
Bachelor of Commerce (Honours)
Bachelor of Arts in Finance or Economics
Bachelor of Business Administration in Finance
Bachelor of Commerce in Investment Management
Master of Science in Finance
Master in Business Administration in Finance Management
Master in Business Admin in Banking and Finance
Post Graduate Diploma in Investment Banking
Certification Courses in Investment Banking
Chartered Financial Analyst ( CFA)
Chartered Accountant (CA)
An individual can gain all the theoretical and on-paper knowledge about investment banking, but there are certain aspects of the individual personality, that an investment bank/institution looks for over and above a degree while offering Investment Banking Jobs in Mumbai and elsewhere across the globe. These personality hard skills are as follows:
Analytical Skills –
Good research skills
Visualization of Data
Quick critical thinking abilities
Fast-paced and accurate problem-solving acumen
Attention to details
Calculative Skills – Good mathematical skills and abilities to crunch numbers in a fast-paced manner.
IT Skills – Basic computer skills like working with
Powerpoint
Excel
ERQ
SQL
API’s
Personality Skills –
Good orator as communication plays a major role
Efficient and quick problem-solving skills
A good negotiator
Good presentation and persuasion skills
Great at managing people and correspondence
Financial Skills –
Well-versed in Modelling
Sharp data analytical skills
Accounting knowledge, like how to maintain a Balance Sheet and knowledge of Profit and Loss Statement
Asset Management
Project Management
Equity management
In-depth knowledge of the Money Markets
In-depth knowledge of all the regulations, and laws
Before you start applying for any course in Investment Banking or even start applying for any Investment Banking Jobs in Mumbai especially, let’s first take a deeper look at the way the Investment Banking Industry is classified. In a typical Investment Banking Institution the following departments are a standard:
Revenue Generating Departments: This includes all the frontline departments that are actively involved in revenue generation, client interactions, sales, and research. This is divided into two major departments :
Investment Banking Division – This entire department deals specifically with revenue generation for the company or the clients. This is further classified into the following two categories :
Product Specific Category: The employees in this section command expertise in the following products :
Equity Capital Markets
Mergers and Acquisitions
Debt Capital Markets
Restructuring
Leveraged Finance
Industry Specific – The job seeker in this role commands expertise in all the financials of a particular industry, which are as follows :
Healthcare
Technology
Telecom and Media
Consumer Retail
Chemicals
Transportation
Oil & Gas
Power and Utilities
Public Finance
Financial Institutions and Sponsors
Shipping
Infrastructure
Metals and Mining
Real Estate
These are a few examples quoted in this article, although the classification is vast and depends on the interest of the candidate.
Sales and Trading – As the heading states, this department handles buying and selling, stocks, bonds, equities, and options for their clients.
Research – The research teams conduct in-depth research on the financials, potential, and assessment of the risk factors of the companies in question. Based on the reports, data-driven advice is imparted to the customers for buying, selling, or acquisitions.
Risk Management Department – This department has minimal to no client interaction and acts as a support group to the sales department. They include the treasury department, legal counseling department, and counterparty credit departments.
Back Office Support Department – To ensure all rules and regulations are being followed properly by all the departments, Compliance, IT department, and Accounting department act as the support staff.
Classification of Investment Banks and Institutions in India
Investment Banks and Institutions are broadly classified into 4 categories, depending on their client focus, size, area of expertise, and business dealings. Here is a look at the categories and the top institutions in Mumbai specifically :
Tier One Investment Banks – This category includes all the bigger banks and institutions that deal with different corporate finance sectors. They are also known as Bulge Bracket Banks and the following are present in Mumbai –
JP Morgan
Bank of America Securities India Limited
Goldman Sachs
Morgan StanelyCitigroup Global Markets India Pvt. Ltd.
Barclays Risk Solution Group
Credit Suisse
UBS
Deutsche Bank India
HSBC
State Bank of India
Axis Bank
HDFC Bank
ICICI Bank
Central Bank of India
Kotak Mahindra
JM Financial Ltd
IDFC First Bank
Avendus Capital
Edelweiss Financial Services
Tier II Investment Banks and Institutions – The banks and institutions under Tier II are also known as Elite Boutique Banks. They deal in specific corporate finance sectors and handle high net-worth corporates and individuals and it is not necessary they have a very huge global outreach, although their revenue shares the same position as some of the well-known Tier I banks. The following Boutique Banks are headquartered in Mumbai :
Middle Market Investment Banks in Mumbai- The Middle Market Investment Banks and Firms have a plethora of corporate finance product expertise and a global presence, but their business volume is much less than the above two types. They do not deal in very big corporate giants but have numerous mid and small-sized companies under their wings. The following Mid Market Banks are present in Mumbai :
William Blair & Co
Baird
Houlihan Lokey
Stifel
Lincoln International
Harris William & Co.
Raymond James
KPMG Corporate Finance
Brown Gibbons Lang & Co.
Avendus Capital
Axis Capital Ltd.
Edelweiss
Jm Financial Institutions Securities
ICICI Securities Ltd.
IDBI Capital
O3 Capital Global Advisory Services
Veda Corporate Advisors
Spark Capital
Unitus Capital
Types of Investment Banking Jobs in Mumbai
Investment Banking has a plethora of positions one can apply for, depending on the job responsibilities one has an inclination towards and which best suits the qualifications and interest. Here are a few positions that an individual comes across while applying for Investment Banking Jobs in Mumbai :
1. Financial Associates –
This is an entry-level job. The primary responsibility of a Financial Analyst is to be the representative of the institution for the client. He/she has to meet clients and help them in making choices for investing in different financial products, building a portfolio, and investing in different funds. Deposits and loan services have to be their strong points. Communication and presentation should also be strong points for the candidate.
2. Financial Planner –
Another entry-level opportunity in Investment Banking Jobs in Mumbai is the role of a Financial Planner, which is similar to a Financial Associate, except that here he/she plans the financial calendar for a client. The calendar includes planning investments, managing deposits, budgeting, and managing risks by planning intelligently.
They have to carry out the following responsibilities :
They help in the long-term planning of a client in terms of investments, planning, and budgeting.
They help in tax planning, property investments, retirement schemes, and investing in shares.
They impart money management services which help in financial guidance, especially for retired individuals and individuals who have just started working.
They help in setting financial goals for clients.
They help in tax planning, pension fund allocation, mortgages, and any other related financial activities.
They help in assessing and mitigating risks for clients.
3. Financial Advisor –
A Financial Advisor job is a front-line opportunity, that generally freshers get while applying for Investment Banking Jobs in Mumbai. They have the following roles to execute:
Help clients fix their investment goals pertaining to long-term and short-term investments.
Manage a client’s taxes and insurance investments to help in achieving the client’s financial goals.
They help in budgeting, investments, future planning, and savings to be prepared for any calamities or unforeseen circumstances that can take place.
4. Financial Analysts –
This role counts amongst the mid-management opportunities available while applying for Investment Banking Jobs in Mumbai and requires experience and sharp acumen. The following are the key roles they have to play:
They gather Industry, Economic, and Financial fiscal data, evaluate it, and predict the performance of the investments made by the clients.
Based on their research and predictions, they make recommendations for investments and disinvestments in financial products.
They have to predict trends and patterns from the data gathered either for a company or for an individual client.
They are basically classified under two heads, Buy Side Analysts and Sell-Side Analysts. As can be comprehended from the title one analyses which stock, bonds, or equities to buy and another which products to sell.
5. Equity Analysts –
An Equity Analyst is a mid-level job opportunity. One can also start in an organization as a Research Analyst which is the position offered to freshers while applying for Analyst Investment Banking Jobs in Mumba The following roles can be expected with the position:
They either specialize in a group of companies or products and do an in-depth study of them.
They conduct research and prepare financial reports of stocks and bonds.
With the help of financial modeling, they prepare reports and predict trends and patterns in the data.
Since they have sharp Statistical and Mathematical acumen they prepare reports to be presented to the clients or the company itself.
They have to directly interact with the firm managers to impart the research data, which is used to help the investors with the decision to either buy or sell the equities.
6. Investment Banking Analysts –
This is an entry-level opportunity for any individual looking to step into the hardcore domain of Investment Banking. The following key responsibilities one has to carry out as an Analyst :
Research the economic trends and forecasts in the financial market.
Analysis of financial data which in turn helps the managers as a support for the generation of capital for the firm.
Assessment of equities and stocks and valuing them.
Conducting research to identify potential areas for investments
Aid in preparing pitchbooks for senior staff for presentation to investors and clients.
In-depth research on all the financial and legal documents related to the firm.
For banking aspirants, this opportunity to apply for Investment Banking Jobs in Mumbai, the growth opportunity in this field is comparatively high.
7. Private Equity Associate –
In this role the candidate has to be exceptionally good in people management skills, communication, and good organization The following key job responsibilities are a must for aspirants applying in this area of Investment Banking Jobs in Mumbai :
A thorough study of the equities and debts market.
Aiding clients in forming and maintaining an investment structure and strategy.
Advising clients about new potential investment opportunities, thereby helping them in decision-making in purchasing the appropriate bonds and stocks.
Maintaining multiple accounts and aiding them with regular analysis and presentation of their financials.
Dealing with High Networth Individuals and clients, and established firms.
8. Mergers and Acquisitions Specialist –
In the present business scenario, a major number of companies are looking to expand by taking over medium and small-sized companies not only in India but also globally. For this position, the candidate has to be exceptionally excellent not only in business negotiations but also an expert in accounts and company laws. The following responsibilities are attached to this role :
Market research of potential companies for acquisitions, which includes their present and past financial data.
Risk assessments and potential pitfall assessment in the merger deal.
Structuring the deal for acquisitions which includes company financial liabilities, debts, assets, workforce decisions, and the entire legal documentation.
9. Underwriting –
This is one of the most important positions in Investment Banks and is highly sought after amongst all of the Investment Banking Jobs in Mumbai. Since the position plays a critical role in the company, he is a look at the job responsibilities:
Conduct thorough research of the financial scenario, and the company’s financial status, before planning to launch the Initial Public Offerings of the company in the market.
Evaluate and asses the client’s needs and accordingly price the IPOs.
Be responsible for all the legal documentation of the IPO.
Determine the client’s market needs and accordingly allocate the Company IPO’s
Assist Government, Corporations, and institutions in raising capital.
10. Venture Capitalist –
This role is most in demand and is amongst the top-paid jobs in overall Investment Banking Jobs in Mumbai. There are mainly 3 different roles under the guise of Venture Capitalist, namely Venture Capital Associate, Venture Capital Analyst, and Venture Capital Accountant and Auditor. The following are the job responsibility that has to be formed in this role:
Market research to identify potential opportunities for investment and acquisitions.
In-depth research of the financial condition of the target companies.
Building a portfolio of the company for the employer company or the investor company.
Negotiating terms for acquisitions and handling the legal and document part of the acquisition.
FAQs: Investment Banking Jobs in Mumbai
What is the average salary expected for freshers in Investment Banking and what is the highest salary received?
The average salary for a graduate stepping into the Investment Banking sector starts from rs.2.46lacs/annum. A postgraduate student from a recognized business school can be offered a salary package ranging between Rs.4lacs/annum to Rs. 12 lacs/annum as per Glassdoor. But the salary package changes as per the location also. The Salary package in Tier II cities is definitely lesser as compared to Tier I cities. Also, skills acquired by the student play a major role in salary negotiation. Depending upon experience and track record, the highest salary package can go beyond Rs.85 lacs/annum in India.
What are the advantages and disadvantages of working with Tier I or Bulge Bracket Investment Banks?
For a fresher, getting selected for any Investment Banking Jobs in Mumbai in Bulge Bracket Investment Banks is easy, as there are ample job opportunities available. Being associated with a big brand name allows for working with globally recognized deals, a stronger alumni network, and better financial emoluments.
On the other hand, the disadvantage of working with Big Investment Banks is that client interaction is quite limited for freshers. The competition for growth is intense as the number of people vying for higher positions is higher. A fresher has to work very hard and for long hours to stand out and be recognized.
Should a fresher start their career with a Mid Market Bank?
For students looking to start at a smaller level and understand the processes and market better, a Middle-Level Bank is an excellent choice. The clients are more local and client interaction is more compared to a Bulge Bracket Bank. The opportunity to understand the processes at a slower pace and the option of handling smaller deals is a big advantage here. The scope of error and rectification is higher and since the staff size is smaller, the opportunity to work with the senior more experienced staff is very high as compared to other banks. The pay package is not very high but learning opportunities are very high.
For a long-term career in Investment Banking should I choose a Bulge Bracket Bank or a Boutique Bank?
Boutique Banks are known to deal with HNI customers and deals that are of high value. There may not be as many deals in numbers as compared to a Bulge Bank, but a smaller task force means, clients are dealt with by all the required employees. There are ample opportunities to get practical experience of the technicalities involved in closing deals, real-time customer experience, and a better network.
Conclusion
In today’s fast-paced scenario, customers are inundated with the decision to make intelligent investments to not only pave the way for a secure retired life but also for their families. With the plethora of options available one has to either, constantly be aware of the financial markets or depend upon external help which not only keeps a constant eye on the financial markets but also takes data-derived right decisions for them. The same scenario resounds in the business world. Companies are not only limited to the land of origin but have started spreading their reach globally.
To aid this development there is a constant need for research, risk analysis, and data-backed decision-making. Here, are steps for investment bankers to make this process smoother and faster for the clients. Investment Banking is a sector that has seen slow but steady growth. It is a challenging and demanding profession but also the end goals are highly lucrative not only in terms of monetary benefits but also local and global recognition. Thus, if you have a keen eye for analytics, deal with numbers, enjoy researching, and have excellent interpersonal skills, this is the right profession for you to step into. Here we conclude the details about investment banking jobs in Mumbai.
If you were looking for the best digital marketing courses in Jordan, you have come to the right place. In this article, we are going to cover everything about digital marketing. You will first understand and learn what exactly marketing is. Then you will learn why marketing is essential in our lives. Then you will land on Digital marketing. You will learn various digital marketing strategies, and explore the scope of digital marketing courses in Jordan. Let’s dig in!
What is Marketing?
Do you know what Apple is? Not the one that you eat, but the company Apple, INC the one which makes amazing iPhones, I pad, MacBooks, Air pods, and whatnot? We are 100% sure, that whether you belong to any part of the world, you be a rich businessman or the son of a farmer in some remote place in India, you must have at least seen one form of advertisement about Apple INC, you may have heard from somewhere, you may have watched Apple’s Advertisement on YouTube or your television, or maybe you might have seen Apple in some big banners and hoarding or a newspaper.
What are the things that make everyone know about Apple? You may have never purchased a product from Apple yet, or you aspire to purchase, but what is the thing or process with which you know about Apple? This is called Marketing.
Now let’s say Apple still makes amazing technology, but they never advertise their product, would you be able to know that such technology even exists? Would you still be that crazy for Apple INC then? Certainly Not.
This is what marketing is all about. Marketing is about making people aware of a product or service and convincing them that it’s something they should consider buying. It’s like telling a story or presenting a persuasive argument to attract customers.
Marketing is a way of promoting and selling products or services. It involves understanding the needs and wants of customers and finding effective ways to satisfy those needs while achieving business goals.
Why Marketing is Essential?
Following are some key reasons why marketing is essential.
Creating Awareness: Marketing helps your business create awareness about its products or services. Without marketing people may not even know that your product exists. Marketing ensures that potential customers are aware of what a business offers.
Generating Demand: Marketing will help your business generate demand by showcasing the benefits and value of a product or service, it will create a desire among customers, making them more likely to consider purchasing.
Building Brand Identity: A brand is more than just a logo or a name, it represents the value, reputation, and unique qualities of a business. Marketing plays a crucial role in establishing and building a brand identity.
Expanding Customer Base: By identifying and targeting specific customer segments, marketing helps attract new customers who may have a genuine interest in the product or service. It will help your business reach a wider audience and tap into new markets, driving growth and increasing revenue.
Building Customer Relationships: Marketing is not only about acquiring new customers but also about building and nurturing relationships with existing customers. By staying connected through email marketing, social media, and other channels, businesses can engage with customers, provide personalized experiences, and encourage loyalty. Repeat customers are valuable as they often contribute to long-term success and positive word-of-mouth.
Staying competitive. In Today’s competitive business landscape, marketing is essential for your business to stay relevant and competitive. Effective marketing strategies will help your business understand your competitors, identify market trends, and help your business adapt to changing consumer needs. It will help your business to stay ahead of the competition and maintain a strong position in the market.
What is Digital Marketing?
Marketing in general has evolved a lot from Ancient Trade and barter to marketplaces and bazaars, to print advertising, to the industrial revolution and mass production to the mass media and broadcasting to digital marketing and the Internet age. Have you ever watched a reel on social media platforms like YouTube, Instagram, or tik tok?
Have you ever purchased something online from e-commerce websites like Amazon, Flipkart, or Myntra? If yes then have you ever noticed how these companies place banners on their website to promote their products? Have you ever noticed an advertisement in between reading a blog?
Have you ever noticed ads in between your favorite IPL match? Have you ever received an email promoting some products or services? What are these? These are nothing but different ways of digital marketing. Digital marketing is simply about using the internet and electronic devices to reach people and get them interested in something.
It’s a way for your business to show what you have and make it easy for your audience to find and learn about things that they like. So next time you see an ad or watch a funny video online, remember that it’s a part of digital marketing!
What Are Various Digital Marketing Strategies?
Following is a list of components of digital marketing that you can use.
website: A website is a central hub where you will provide information about your business’s offerings. It will serve as a digital storefront and a platform for interaction with customers.
Search Engine Optimization [SEO]: SEO involves optimizing websites and content to rank higher in search engine results. It will help your business be more visible to people searching for relevant keywords.
Content Marketing: Content marketing focuses on creating and sharing valuable content, such as articles, blog posts, videos, or infographics, to attract and engage the target audience. It aims to provide helpful information, entertain, or solve problems, and build trust and brand awareness.
Social media marketing: Social media platforms like Facebook, Instagram, Twitter, and YouTube are used to reach and engage with the audience, you will create your business’s profiles, share content, interact with followers, and run targeted advertising campaigns, to increase brand visibility and engagement.
Email marketing: email marketing will involve sending targeted emails to your subscribers who have expressed interest in your products or services. It’s a way to communicate directly with customers and share updates, promotions, or personalized offers.
Pay-per-click Advertising (PPC): PPC Ads will allow your business to display targeted ads on the search engine results page or other websites. You will pay a fee only when someone clicks on your ads.
influencer marketing: in influencer marketing, you will collaborate with popular individuals or social media influencers who have a large following. These influencers will promote your business’s product or service to their audience.
Analytics and Tracking: Digital marketing relies on data and analytics tools to measure the effectiveness of campaigns. You will track metrics such as website traffic, conversion rates, social media engagement, or email open rates to evaluate performance and make informed decisions.
What is the Scope of Digital Marketing Courses in Jordan?
You must be aware that even in the year 2023, almost 37 % of the world’s population doesn’t have access to the internet today, though the rates are increasing, as technology expands and evolves more and more people engage and will continue to engage with digital platforms. This fact ensures that there will always be demand for digital marketers in the coming decades.
After pursuing any of the digital marketing courses in Jordan, the program will offer you a wide range of career opportunities, you can specialize in various areas such as Search Engine Optimization [SEO], Social media marketing, content marketing, email marketing, data analysis, digital advertising, and more.
Some potential roles you may aspire for after completion of your program.
Digital marketing specialist/manager
Social media manager
SEO Specialist/ Consultant
Content Marketer/Manager
Email Marketing Specialist
Digital Advertising Specialist
Analytics Manager
E-commerce Specialist
Digital Marketing Consultant
Freelancer or Entrepreneur.
Digital Marketing Courses in Jordan
1. Master Digital Marketing Course- IIM SKILLS
IIM SKILLS is an online platform where you will find a range of courses and training programs in various fields, one such field is digital marketing. IIM SKILLS has a team of experienced instructors who are industry experts in their respective domains. While pursuing a course from IIM SKILLS, you will not only receive theoretical knowledge but also a wealth of knowledge and practical experience, which the instructor brings to the table.
You will also get practical assignments and hands-on projects, enabling you to apply your knowledge and develop practical skills. IIM SKILLS is known for its affordable pricing, making quality education accessible to a broader audience.
Whether you are a working professional looking to upskill or a student seeking to gain a competitive edge, IIM SKILLS is the perfect destination for you to Upskill yourself.
It is a 5-month instructor-led, recognized by govt of India, online digital marketing course where you will learn various elements of digital marketing like Search Engine Optimization (SEO), Social media marketing, Content marketing, content writing, digital advertising, email marketing, and more.
You will get 60+ hours of live training, 120+ hours of assignments. You will have to work on 15+ live projects and 10+ case studies as a part of the program. You will also get a 2 month of paid internship where you will be provided a fixed stipend of 6000 rupees, and you will get access to tools worth 79000+ by IIM SKILLS.
At the end of the program, you will receive a master’s certificate from IIM SKILLS. They also prepare you for Google, Facebook, and HubSpot examinations.
The fee for the entire program is 29,900 Rupees plus 18% GST which equals 35,282 Rupees.
2. Digital Marketing Course Up Grad Campus:
In this section of Digital marketing courses in Jordan, you will learn about Up Grad, the digital marketing program they offer, its curriculum, and its fee structure.
UpGrad
Up Grad is an online platform for higher education that offers programs designed in partnership with top faculty and industry experts. These programs are rigorous and focus on providing skills that are relevant to the industry. By merging advanced technology, effective teaching methods, and comprehensive support services, UpGrad Creates a learning experience that is immersive and can be accessed at any time and from anywhere.
Digital Marketing Course Up Grad Campus:
It is a 5 month fully online program where you will get one-to-one live sessions with mentors. You will learn SEO, SEM, Social Media and Content Marketing, Branding, and Marketing Analytics, and you will get an opportunity to learn from expert marketing faculties from companies like Google, Ola, CRED, and Airtel, also this course includes AI integration which means you will be the first in the industry to learn about AI and how you will use it for your digital marketing work.
You will get to work with some of the tools like Buffer, clever Tap, Facebook Ads Manager, Google Ads, Google Analytics, Google Data Studio, Google Tag Manager, SEMrush
Course Curriculum
Introduction to the program
Fundamentals of marketing
Digital marketing channels and metrics
Case Study: Protinex.
Designing and Building a Web Presence
Blog Creation Project
Remarketing
Social media Marketing (SMM)
Case Study: Mauka Mauka Campaign
Case Study: Blink it
Social Media Marketing Live Project
Search Engine Optimization (SEO)
SEO Live Project
Tools and Resources
Search Engine Marketing (SEM)
Case Study: Salesforce
SEM Live Project
Display Advertising
Email Marketing
Email Marketing
Email Marketing Live Project
Content Marketing
Case Study: Uber
Tools and Resources
Integrated Marketing Strategy in the Digital World
Web Analytics
Web Analytics Live Project
How to be a Freelancer
Advanced Digital Marketing using Chat GPT
Interview Questions.
Fees:
The Program Fee for the entire program is 35,000 Rupees plus GST 18% which equals 41,300 Rupees.
In this section of digital marketing courses in Jordan, you will explore the SAE institute based in Amman the capital city of Jordan, you will learn the digital marketing program that SAE offers, and its related details.
SAE- Society of Automotive Engineers.
Society of Automotive Engineers [SAE]- Amman- Jordan, SAE is a renowned educational institution that specializes in creative media programs. It offers industry-focused courses and degree programs. The institute is known for its state-of-the-art facilities and hands-on learning approach. The faculty at SAE comprises experienced professionals with industry expertise.
Digital marketing Course- SAE Institute Amman.
This digital marketing course is a 132-hour professional training program carefully designed for you to provide you with the knowledge and skills required to plan, implement, and report digital marketing campaigns that work.
This program will be conducted on 3 weekdays and the timing for the program will be 5 PM to 8 PM. The Faculties of SAE will take you from the basics of digital marketing all the way up to the advanced up-to-date topics.
SAE will also help you in digital media such as photography and video production, which will help you deliver and present your marketing messages in the best visual way possible.
These details are not available now, please refer to the admission team of SAE for the same.
4. Digital Marketing Course- The Knowledge Academy- Jordan.
In this section on digital marketing courses in Jordan, you will explore the knowledge academy based in Jordan, the world’s largest ed tech provider, you will learn about the digital marketing courses provided by the knowledge academy and its related details.
The Knowledge Academy
The Knowledge Academy is a globally recognized training and certification provider that offers a wide range of professional development courses across various industries. The knowledge academy has the capability to deliver over 30,000 courses in 1000+ locations, across 190 countries.
They have delivered training solutions to corporates, government agencies, public sectors, multinational organizations, and private individuals.
Digital marketing courses in Jordan the Knowledge Academy
The knowledge academy gives you three choices to pursue this course, you can choose to pursue this program in online self-paced mode, online instructor-led mode, or offline classroom mode.
In this program, you will acquire skills in planning, strategy, and testing for digital marketing. You will gain an understanding of social media, email marketing, SEO, and PPC, you will learn the challenges and principles of Customer Experience.
The digital marketing course by the knowledge academy always provides the best value for your money whether you take the online, self-paced, or classroom program.
They have an open challenge which states that if you find any institute providing the same content at the price they are offering, they will match the same price for you, that’s their confidence speaking.
Course Curriculum.
M1: Digital Marketing
M2: Planning, Strategy, and Testing
M3: Customer Experience and usability
M4: Mobile Marketing
M5: Content Strategy
M6: social media
M7: Email Marketing
M8: Search Engine Marketing: SEO and PPC Defined
M9: Integrating your Marketing Communication for Maximum ROI.
Fee’s Structure:
Online instructor-led: 895 Euros.
Online Self-paced:
6 months Access: 199 Euros
1-Year Access: 399 Euros
Classroom Program: 2995 Euros.
Some FAQs Regarding Digital Marketing Courses in Jordan Are Discussed in the Following:
1. What are the prerequisites for pursuing digital marketing courses in Jordan?
To pursue any of the digital marketing courses in Jordan, there are no specific prerequisites, however, you must have basic computer skills, you must have familiarity with the internet, and a little about social media, at least you must have used social media at some point in your life if you have a passion for marketing that will be advantageous. Some of the Advanced Courses may have specific requirements or recommended knowledge levels, you are advised to confirm from the respective institutions.
2. How much can I expect to make after pursuing one of the digital marketing courses in Jordan?
The salary you can expect to earn after completing one of the digital marketing courses in Jordan vary depending on several factors such as your portfolio, your level of experience, your job role, your industry, and the demand for digital marketing professionals in the market.
Entry-level positions: if you are starting your career in digital marketing, you can expect a salary range of around JOD 500 to 1000 per month.
Mid-level positions: with a few years of experience and specialized skills, you can expect to earn between JOD 1000 to JOD 2000 per month. This range can increase further depending on your expertise and the company you work for.
Senior-level positions: As you progress in your career and gain significant experience in digital marketing, you can earn salaries ranging from JOD 2,000 to JOD 4,000 Per month or more. Senior positions often come with additional responsibilities and higher earning potential.
3. Is Digital Marketing Tough?
Digital marketing is not tough to learn but yes, it is a very competitive field, and it is constantly evolving so you’re learning in the field of digital marketing never stops. It is a field where you must have a basic technical knowledge and must show some creativity, digital marketing involves crafting compelling content, designing engaging visuals, and communicating effectively with target audiences. With dedication, a willingness to learn, and a passion for the field, you can overcome the challenges and succeed in digital marketing.
Before dwelling on the comparison between IIM SKILLS and Jigsaw Academy Data Analytics Course, let’s first understand about the Data analytics course in the next segment.
About Data Analytics Course
The skill of evaluating raw data and drawing conclusions to support corporate performance, forecasts, and strategic choices will be taught to you in a data analytics certification course.
Businesses may use data analytics to extract useful information from massive data sets and make decisive business choices.
Huge data sets must be explored and analyzed in order to spot patterns or previously unnoticed trends. Data analytics aids in establishing relationships and gaining understanding to make business forecasts.
Despite their similar sounds, data analytics and data analysis differ in very small ways. You will discover such complex idea distinctions in this Data Analyst course.
Data analytics includes data analysis, which is simply concerned with interpreting data. However, data analytics is a comprehensive idea that goes beyond analysis; it also involves data science to make predictions and hypothesize as well as data engineering to create data systems.
This data analyst course is intended to provide you with a thorough understanding of all the major ideas and subsets of data analytics, as well as how it is used, the necessary skills, and how to be job-ready.
You’ll learn to prioritize data while making business decisions. You’ll better understand your target audience with the use of data analytics, which will enable you to base your decisions on their behavior and provide better outcomes. Data analytics will assist you in making better customer-focused decisions by helping you comprehend consumers’ intentions and keep track of their preferences.
Streamline and Control Business Risks
You may use data analytics to develop powerful methods to manage company risks. Data analytics may assist in identifying the key risk factors and underlying reasons for problems such as loan default or credit card fraud.
You will simultaneously learn about several credit risk models, data requirements, risk reporting, and risk kinds (including credit, corporate, market, and operations risk).
Boost Corporate Security
Businesses employ data analytics to review previous security breaches and pinpoint the weak spots that allowed the breach to happen. This aids security professionals in tightening security protocols and averting such breaches in the future. You will discover how analytical models can spot any odd activity or pattern and instantly warn security specialists in this data analysis course.
Determine Trends
The market evolves frequently, and firms must promptly adjust to these changes. Knowing where the market is going, what kinds of changes in consumer behavior a company may anticipate, and preparing for such changes are always important. You will discover how data analytics may be used to comprehend the changing industry and predict emerging trends that will affect the company.
You will receive in-depth instruction on using data analytics tools as well as all this knowledge from our data analytics course.
Applications of Data Analytics by Industries and Functions
Marketing Analytics
Businesses may improve the total ROI of any marketing effort by using data analytics to better understand consumer activities, their causes, and how to best respond to them. You’ll learn how to evaluate marketing data, identify trends and patterns, and utilize an analytical mindset to comprehend user behavior, improve marketing efforts, and encourage repeat business for your business.
Operations Analytics
You may learn how to enhance a business’ operational efficiency through the use of operational analytics. Business analytics includes efforts to integrate data from the warehouse into your business tools so that everybody in your company can access the same data, regardless of technical proficiency. You learn to concentrate on keeping an eye on current and real-time operations that can increase productivity and plan daily business operations.
Risk Assessment
You can accurately assess and forecast hazards with risk analytics. You will learn how to analyze corporate data more thoroughly, create plausible risk-driven scenarios, and correctly forecast potential hazards using a variety of tools. Through effective identification, analysis, and risk assessment, data analytics assists organizations in avoiding large-scale disasters.
Analytical Applications in the Retail, eCommerce, Banking, Insurance, and Telecommunications Sectors, etc.
You will get real-time knowledge of how data analytics is applied across many business domains, sectors, and functions, as the name implies. You will get practical experience in the types of business issues that emerge, how to solve them, and what models you can develop to reduce significant risks, all while learning to adapt your knowledge depending on the sector or role you are working in.
Job Responsibilities of a Data Analyst
Your Duties as a Data Analyst Will Likely Involve Things Like:
Gather information from numerous sources and arrange it in a logical order.
Organize and handle data.
You must be able to handle missing values, correct inaccurate or incomplete information, identify mistakes, and get rid of unnecessary data.
Knowledge of how to evaluate data using various statistical tools, such as Python or SaS.
Manage and optimize data based on current and projected seasonal or market patterns and create precise prediction models.
Prepare thorough reports that are enhanced graphically and are easy to interpret.
Enable enterprises to address risks and security breaches by identifying them.
Job Scope
The need for data analytics training and services is growing rapidly. According to a survey, there will be over 250,000 job vacancies for data analysts. According to a recent IBM forecast, 350,000 people will be employed in data science and analytics by 2023.
It is anticipated that India’s data analytics business will play a big role in the development of industry 4.0, as well as greatly enhance job opportunities and raise living standards. The upheaval of this sector will lead to future paradigm upheavals.
Certified data analysts have several career options. Develop the technical and soft skills necessary to launch a successful career in data analytics.
IIM SKILLS vs Jigsaw Academy Data Analytics Course
IIM SKILLS
For students majoring in commerce who are interested in data analytics, IIM SKILLS is one of the best providers of online finance and other streams courses. It is a premier provider of Master’s in Data Analytics courses. A student who successfully completes the course will be fully equipped to work for a large organization because it has been designed in the finest manner possible and is wholly practical in nature.
IIM SKILLS helps you to reach your goals with top-notch professional courses that boost your competence, improve your present skills, and flourish in your working life. These courses are applicable to both careers and industries. The course material is carefully planned to help students develop their abilities and receive the best instruction.
Professional classes might aid you in identifying your passions. You will strive to enhance your skill set in order to turn your passion into a lucrative and worthwhile job. The list of courses that IIM SKILLS offers includes:
Digital Marketing Course
Search Engine Optimization (SEO) Course
Content Writing Course
Technical Writing Course
GST Certification Course
Business Accounting Course
Financial Modelling Course
CAT Preparation Coaching
Data Analytics Course at IIM SKILLS: An overview
Tools and software expertise are necessary in today’s computer and technology-driven environment to succeed in any given industry. While AI bots cannot totally replace human intelligence, they can certainly contribute by streamlining and automating some processes. These large instruments end up being much more crucial in the case of data.
In light of this, at IIM SKILLS they make it a priority to strengthen your working understanding of the essential tools for the data analysis sector. Consequently, you will receive training in this direction to give you a competitive advantage when applying for positions in the real-market business. You will be able to shine and truly make a difference in demonstrating your professionalism at the job if you possess the necessary tool and software expertise. It will not only enable you to make the most of your data drills but also unlock your hidden potential.
Course Modules
IIM SKILLS has developed this advanced data analytics course to teach and educate students about the real-world trends of data analysis in recognition of the growing relevance of data in market trends. This excellent program puts the complexities of Data Analytics front and center to prepare you for employment as soon as you finish the course.
Below Are the Course Modules:
Data Analytics Using Advance Excel (9 Hours)
Data Analytics Using VBA (15 Hours)
Data Analytics Using SQL (39 Hours)
Data Analytics Using Power BI (24 Hours)
Data Analytics Using Python-1(10 Hours)
Data Analytics Using Python-2 (10 Hours)
Data Analytics Using Tableau (15 Hours)
R For Data Science (20 Hours)
Data Analytics Using Alteryx (18 Hours)
Features of the Course
Defining Characteristics of IIM SKILLS Data Analytics Course:
Anywhere, Anytime Access
IIM SKILLS bring education to your house, cutting off the miles of travel time-sucking traffic jams. Learn data analytics from the convenience of your home with their reputable online course.
To alter your learning curve, all you need are commonplace usability items like a laptop and a reliable internet connection. They guarantee to provide you with a real-classroom atmosphere with cutting-edge interactive sessions, discussion forums, and student-centric teaching.
Flexible Planning
We have seen a variety of people come to IIM SKILLS for learning, including students, working professionals, housewives, retirees, and those with other specific characteristics who may or may not have explicit time to spare. In order to provide you the flexibility to commit to learning new skills without compromising your career or personal responsibilities, we offer flexible batches that include both weekday and weekend batches.
Free Demo Classes
You are welcome to participate in a brief trial demo session at IIM SKILLS to get an idea of the format, speed, and mentor’s teaching style. You may move to enroll yourself in this excellent data analytics education program after you feel at ease with the demo session.
Additional Services
Who doesn’t enjoy free services, here are some exceptional services that you may enjoy without paying extra. At IIM SKILLS, backup classes are a genuine thing. To arrange backup sessions, you can talk to your mentors. You also have the choice to see session records through the LMS at the same time.
You can receive everything here, including help with interviewing, resume writing, and career recommendations. Since upskilling and employment are the true goals of any course, the IIM SKILLS placement cell provides specialized services to assist you in finding your ideal position.
We provide you with lifetime access to updated resource material through your LMS account to ensure that studying at IIM SKILLS is a commitment you make to yourself. Furthermore, if necessary, you may get in touch with your mentors whenever to rule out problems with your job.
Learning Materials
Our comprehensive Learning Management System (LMS) offers a library of pre-session readings, recordings of sessions, and other reference materials to help you progress step-by-step. In the LMS, you may keep track of your progress and obtain any additional materials as needed. No time limits, restrictions on the amount of views, etc.
Outstanding Faculty
The genuine glory of the institute is its outstanding professors, each of whom has years of expertise in their field. In addition to being skilled experts with in-depth topic knowledge, they also possess a deep understanding of effective instructional techniques. Before presenting you to more advanced concepts, tools, and practical advice, they cover the basics. But there’s more! Making the most of the acquired abilities will enable you to tackle challenges encountered in the field. Mentors provide trade secrets among other things to prepare you for potential issues at work.
IIM SKILLS Master Certification Data Analytics Course Features
IIM SKILLS, a reputable brand in the field, provides a Master’s certification in Data analytics. You may attract potential employers by adding the shareable certificate to your accounts on LinkedIn and other social media platforms. Additionally, you can include it in your resume and CV to increase your employability in the eyes of recruiters.
Special Features of This Course:
Live Data Analyst Training for 6 Months
160 hours of lectures, 100 or more hours of practical assignments, and tool-based instruction
Master 7+ Tools | 7+ Live Projects | 10+ Case Studies
Business analytics, data science, human resource analytics, and many more fields are covered by the highlighted short-term, long-term, online, and in-person certificates offered by Jigsaw Academy.
Both merit and entrance exams are required for enrollment in these programmes. The qualifying requirements for these programs include a graduation degree with at least a 50% grade point average, experience, and a passing score on the admission exam and interview.
The academy has 110+ hiring partners in addition, and the average package provided is INR 11.5 LPA. There are more than 55,000 students enrolled in Jigsaw Academy.
Jigsaw Academy Data Analytics Course: An overview
Jigsaw Academy’s Data Analysis Courses for Beginners are primarily concerned with giving students a solid foundation in data analysis. The amount of data that has to be analyzed and managed multiplies exponentially every day as technology advances. In order to provide students a firm understanding of the data analytics sector, its operations, and functions, this course teaches them the very fundamentals of data analysis.
Students will be able to put their newly gained abilities to the test while learning about the applications of data analysis through the modules, case studies, and completion quiz. The Data Analysis Courses for Beginners certification offers the advantages of being the ideal beginner’s guide to acquire the necessary skill sets for furthering your understanding of the principles of data analytics, especially with its industry-relevant content.
The youthful aspirants who want to learn and grasp the operations of data analytics are catered to by the Data Analysis Courses for Beginners certification. All of the essential concepts of data analysis, including data manipulation, data extraction, data processing, analytical technique, and more, will be covered in this one-month course’s curriculum. This Jigsaw Academy’s Data Analysis Courses for Beginners is the ideal introduction to the subject and may aid students in establishing a solid foundation.
Additionally, the Data Analysis Courses for Beginners provide students with a pleasant learning environment through interactive faculty help for doubt clarification and mobile app access to study whenever and wherever they choose. Candidates will grasp the purposes and uses of data analysis thanks to industry-relevant case studies that are a part of the program’s curriculum.
A quiz is included in the Data Analysis Courses for Beginners training to assess all you have learned thus far. In case you need to review a lesson, it provides three months of access to the course materials. Jigsaw Academy will provide you the data analysis for beginners’ certification upon your successful completion.
Skills You’ll Learn
You will own the following when you have finished the Data Analysis Courses for Beginners certification syllabus: –
Understanding of the fundamentals of data analysis and analytical techniques.
Understanding of how data analysis functions and is used by businesses.
Knowledge of the principles of data analysis, including its extraction, processing, and manipulation using analytical tools.
Being able to run statistical models effectively to gain better insights.
Course Highlights
Self-directed education
Online program
Practical case study
One-month program
Access to the study materials for three months
Data analytics certification for beginners
Individualized module
Access for six months
Case studies
Technical assistance
Mobile applications
Certification of completion
Conclusion on IIM Skills vs Jigsaw Academy Data Analytics course
It is crucial for young students to be well prepared before attending an interview because the market is a dynamic environment where changes and reforms occur on a regular basis. Traditional educational institutions do not offer the skills and knowledge that a firm looks for in a recruit.
You must rely on reputable institutions that provide courses for this. Both IIM SKILLS and Jigsaw Academy have a reputation for being among the top organizations offering professional training. These institutes’ Data Analytics courses are created with the norms and specifications of the industry in mind.
Case studies and assignments are available from IIM SKILLS to assist you in acquiring information that is practical and application-based. Jigsaw Academy offers live projects where you will need to use the skills you have learned to complete a specific assignment.
You have access to an internship opportunity through IIM SKILLS, which will enable you to develop your professional knowledge and experience. You may get some of the greatest and most practical skills by attending IIM SKILLS, a highly regarded institution.
Frequently Asked Questions (FAQs) on IIM SKILLS vs Jigsaw Academy Data Analytics Course
Q. How can I begin with Data Analytics?
If you enjoy working with data and all of its different ideas, this is the career for you. You might begin by reading about its many elements and enrolling in classes that go over all the essential intricacies of this business.
Q. Why should I pursue a career in Data Analytics?
Learning data analytics will provide you access to a variety of chances, including employment, problem-solving abilities, statistical knowledge, high income packages, and the freedom to work in many industries.
Q. Is data Analyst a good career?
Yes. Any organization needs skilled data analysts to function. According to statistics, the urge to develop a comprehensive customer experience is what motivates organizations the most.
Organizations can gain a lot of value from data, but the analytics component is required to tap into that potential. Businesses need to grasp how to use data analytics as it increases their importance inside the business sectors. For that, you have to gain knowledge and hands-on expertise for getting into the data analytics industry. As a data analyst, there is essentially no limit to how much you can develop your skills and advance your career. Here in this article, we have covered the best IIM SKILLS vs. Digital Vidya Data Analytics Course for your interest in this field. That will help you grow in this advanced industry.
What are Data Analytics?
A data analyst is entrusted with gathering, processing, and analyzing how data can be used to provide important insight that might help businesses in increasing productivity or resolving issues.
Throughout the entire data pipeline, data analysts interact with data in a variety of ways.
Data mining, data cleaning, statistical analysis, software and database design, bug fixing, and other data management-related tasks are all part of data analytics.
Data analysts must be able to collaborate with other departments, including IT, finance, healthcare, marketing, technology, and management to establish goals and then deliver outcomes concisely and insightfully.
These insights may enhance customer satisfaction, reveal fraud and resolve challenging issues, among other advantages.
The Importance of Data Analytics for Leading Organization
Businesses are being transferred by the data explosion. Big and small businesses alike today expect that data-driven knowledge will help them to take care of their business decisions. Data experts significantly influence corporate strategies and marketing techniques.
Enhancing Decision Making
While the majority of employees feel that their lack of decision-making authority contributes to job dissatisfaction, data professionals will have an impact on decision making of businesses.
Better decision-making ranks first among the main advantages of data analytics. It gives firms incisive, data-driven information that helps them better understand their markets, operations, and client.
They can recognize connections, trends, and patterns. They also use this information to create well-informed decisions that are based on data and metrics rather than only an assumption.
By maximizing their strategies and taking better-informed decisions, businesses can increase productivity, lower costs, discover new opportunities and reduce risks.
Data analytics also gives organizations the ability to make judgments that are more transparent and reliable because they are based on actual facts.
Greater Productivity and Efficiency
Through the automation and simplification of processes, the most effective utilization of resources, and the reduction of human labor, data analytics enables businesses to improve efficiency and production.
By identifying and removing barriers and insufficiency, businesses may improve their productivity.
Data analytics also helps companies find areas where productivity may be raised, like waste reduction, improved inventory management, and supply chain optimization.
An Increase in Job Opportunities and a Wide Range of Work Prospects
There are many outstanding work prospects in this field, also many industries rely on data because there is a growing need for data specialists.
It will be a very rewarding career because you will play a special function inside the organization and be an important part of future strategies and business policies.
Provides Ideal Prospect for Freelance Work
A career as a well-paid expert for some of the biggest companies in the world is also possible in the data analytics field. With a reliable connection, the job may be performed from anywhere in the world because it is mainly IT based. You now have the ideal chance to diversify your sources of income and ensure a healthy work-life balance for yourself.
How to Start Learning Data Analytics?
A solid background in mathematics, statistics, and computer science is beneficial for becoming a data analyst.
Almost all data analyst professions normally demand a minimum bachelor’s degree in a STEM discipline, as well as a solid set of software skills, including programming in R, Python, or SAS and relational database management.
Additionally, you will have a solid understanding of data collecting, data collection methods, data extraction techniques for large data, and database access tools.
You’ll probably need a master’s or doctorate in a similar field if you want to continue advancing up in this industry. Certificate programs and data science boot camps can also help students to prepare for a data analytics profession.
You must research trends if you want to survive in this digital age that promotes knowledge-based culture. And the Internet has made it simple for anyone in this knowledge era to access information whenever and wherever they need it. Therefore, as per our research, we have given in-detail information for the best data analytics courses from the top leading institute.
About IIM SKILLS
Established in 2015, Instructors from IIM SKILLS have 12+ years of experience developing cutting-edge, real-world digital education that has empowered more than 35,000+ graduates and some of the extensive global network of 350+ hiring partners.
IIM SKILLS is an online learning platform that prepares students for the digital industry’s most in-demand careers with comprehensive, live instructor-led online programs in marketing, writing, and finance program. All IIM SKILLs programs are 100% online for an average of 2 to 6 months.
IIM SKILLS class structure combines engaging and interactive live online content and hands-on practice with an in-depth curriculum created by experts. Their course curriculum is beginner friendly and is open to everyone with a background in any field including students, working professionals, housewives, and retired individuals who want to up skills or want to make a shift in their careers.
IIM SKILLS support does not end when a student completes their course. All students benefit from their career assistance services including lifetime access to the recorded lectures and materials, resume building, optional internship opportunities, interview preparation, and placement assistance.
Overview of IIM SKILLS Data Analytics Course
The Data Analytics Course includes 160+ hours of lectures and 100+ hours of assignments for a better understanding of data analytics. Students will receive access to the most popular 7+ tools and materials of IIM SKILLS’ learning management system for their lifetime.
You can work on 10+ case studies and 7+ live projects through the data analytics program to gain practical experience in data analytics.
The course does not require any prior knowledge, so if you want to kick-start your career in the field of data analytics or you are a beginner, their immersive training and comprehensive 9 modules are suitable for newbies and working professionals to take you from the basic to advanced level. You can also select a module you want to master as per your requirements.
After successfully completing the course, they also provide an optional non-paid 2-month internship that will add experience and will help get you ready for the industry.
About Digital Vidya
One of the biggest educational institutes, Digital Vidya has educated over 60,000 people in the industry. In addition to being the top choice for corporate training for thousands of companies, the institute is an official partner of Google and Microsoft India. They also offer internship opportunities in addition to over 250 corporate collaborations with organizations like Facebook, Google, and LinkedIn.
The course that Digital Vidya offers are designed to equip students with the knowledge and experience necessary to be successful in the job market.
Overview of Digital Vidya’s Data Analytics Course
The Digital Vidya Data Analytics Course covers 16 weeks of rigorous training that combines theoretical and practical tools to deliver an overview of data science and data visualization that is exceptional.
The data analytics course provides 8 modules with an overview of data cleaning, data manipulation, data analysis, data comparison, data visualization, data filtering, and data sorting combined with basic and advanced Excel training.
Students will complete 3 capstone projects to demonstrate the data analytics skills they acquired throughout the class. Students will also receive 30+ hours of assignments in self-paced modules, pre-recorded educational seminars led by experts in the field, and 15+ practical projects. Digital Vidya provides monthly two live Q&A sessions for doubt clearing.
Let’s see the comparative information about IIM SKILLS vs. Digital Vidya Data Analytics Course.
IIM SKILLS vs. Digital Vidya Data Analytics Course: Eligibility Criteria
IIM SKILLS
Digital Vidya
The pre-requisite needed for IIM SKILLS Data Analytics Master Course is little to nonexistent.
Anyone can start from the beginning to enter this leading-edge sector if they are interested in Data Analytics.
The followings are the basic requirements for eligibility:
A bachelor’s degree in any field
Basic expertise in computers and technology
It may be advantageous to have a prior experience in statistics and mathematics, though it is not required.
There are no prerequisites for this Excel-based Data Analytics Course for beginners except for strong logical skills.
This would be the place if you wanted to work in the field of Data Analytics or Data Visualization.
IIM SKILLS vs. Digital Vidya Data Analytics Course: Mode of Learning
The best thing about both of the institutes is that they both provide online learning with flexibility. Any working professional can also learn and you can learn in your spare time or balance it around family or other commitments.
IIM SKILLS
Digital Vidya
Avail 100% live online instructor-led training by top-ranked faculty.
Attain data analytics course syllabus with self-paced learning.
IIM SKILLS vs. Digital Vidya Data Analytics Course: Duration of the Course
IIM SKILLS
Digital Vidya
5 Months
Classes are taught on Saturday- Sunday from
10 AM to 1 PM
16 Weeks
IIM SKILLS vs. Digital Vidya Data Analytics Course: Fees of the Course
IIM SKILLS
Digital Vidya
Rs.49,900 + Taxes (8 Modules)
Rs.19,900 + Taxes (For Any Single Module)
They also provide a money-back guarantee after the first session of the course.
There’s a 10% group discount for 3 or more registration for this course.
Rs.12,500 + 18% GST
IIM SKILLS vs. Digital Vidya Data Analytics Course: IIM SKILLS Course Curriculum
The course curriculum covers 9 modules and was created from the bottom to assist you in mastering the foundation before moving on to the more complex concepts.
Core Modules
Subject Covered
1)
Data Analytics Using Basics and Advanced Excel
Introduction to Data Handling
Data Visualization in Excel
Data Analysis and Reporting
Data Manipulation Using Functions
Overview of Dashboards
Create Dashboards in Excel- Using Pivot Controls
2)
Data Analytics Using Visual Basic Application (VBA)
Introducing VBA
How VBA Works With Excel
Key Components of Programming Language
Programming Constructs in VBA
Functions and Procedures in VBA – Modularizing Your Programs
Objects and Memory Management in VBA
Communicating with Your Users
Others
3)
Data Analytics Using SQL
Basics RMDMS Concepts
Utilizing the Object Explorer
Data Based Object Creation (DDL Commands)
Data Manipulation (DML Commands)
SQL Server Reporting Services
Other
4)
Data Analytics Using Power BI
Introduction
Data Preparation and Modelling
Remove and Keep Rows, Go to Columns and Add, Remove
Data Analysis Expressions (DAX)
Reports Development (Visuals in Power BI)
5)
Data Analytics Using Python-I
Introduction to Basic Statistics
Introduction to Mathematical Foundations Introduction to Analytics and Data Science
Python Essentials
Operations with NumPy (Numerical Python)
Overview of Pandas
Cleansing Data with Python
6)
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
7)
Data Analytics Using Tableau
Getting Started
Data Handling and Summaries-I
Data Handling and Summaries-II
Building Advanced Reports/ Maps
Table Calculations
Calculated Fields
8)
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
9)
Alteryx
Data Analytics Using Alteryx
IIM SKILLS vs. Digital Vidya Data Analytics Course: Digital Vidya Course Curriculum
The training materials with 8 modules are designed to improve your comprehension of the fundamental concepts of data analytics with tools covered such as QlikView, SQL, Power BI, Tableau, and Excel.
Course Modules
Subjects Covered
1)
Introduction to Data Science and Analytics Techniques
Introduction to Data Science
Introduction to Python
Data Analysis Pipeline
What is Data Extraction?
Types of Data
Raw and Processed Data
Data Wrangling
Overview of the Business Analytics, Analytics Techniques, and Business Intelligence
Industry Example
2)
Fundamentals of Excel
Introduction
-GUI
-Cell Referencing
-Freeze Panes
-Sum Function
Useful Functions
-Counting Functions
-Summing Functions
-Averaging Functions
-Rounding Functions
Sorting and Filtering
-Multi-level Sort
-Custom Filter
Duplicates
-Remove Duplicates
3)
Data Cleaning and Working with Conditions Using Excel
Working with Text
-Concatenate
-Left, Right, Upper, Lower
Working with Conditions
-Conditional Formatting
-Logical Operations If, And, Or, Nested If
Data Functions
-Splitting
-Creating Dates
4)
Data Manipulation using Advanced Excel
Fetching and Comparing Data Sets
-$ Referencing
-Vlookup and Hlookup
-Match and Index
Named Ranges
-Name Box
5)
Data Analysis and Visualization using Advanced Excel
What if Analysis
-Goal Seek
-Data Table
-Scenario Manager
Solver Plug-in
Pivot Tables
-Dimensions and Measures
-Multi-layer Pivot Table
-Summarize Values By
-Show Values as Grouping
Charts
-Various Charts
-Pivot Charts
-Combo Charts
6)
Introduction to Statistics and Application in Excel
Descriptive Statistics
Inferential Statistics
Regression
Anova
Correlation
Covariance
Histogram
7)
SQL
Core Database Concepts
-Relational Database Concepts
-Data Types
-Tables
SQL Queries
-Select, Insert, Update, Delete
SQL Views
-Creating and Updating
8)
Power BI
Introduction
-Calculated Columns and Measures
-Excel Tables
-Dashboards
-Power BI Components
-Importing Data
-Clean and Transform Data
-Modeling
Building Dashboards, Manipulating Data Using DAX, Importing Data From Sources
-DAX Functions
-Visualization
-Introduction to Power BI Services
-Publishing
-Power BI and Excel
-Import from Data Other Services
-Dashboards
-Power BI Mobiles
IIM SKILLS vs. Digital Vidya Data Analytics Course: Tools and Technologies Covered
IIM SKILLS
Digital Vidya
Excel
Excel
Power BI
Power BI
SQL
SQL
Python
Qlik View
Tableau
Tableau
R for Data Science
Alteryx
IIM SKILLS vs. Digital Vidya Data Analytics Course: Best For
IIM SKILLS
Digital Vidya
Fresh Graduates
UG/PG Students
IT Professionals
Banking and Finance Professionals – Marketing Managers
Sales Professionals
Supply Chain Network Managers
Fresher who wants to start their career in Data Analytics, Data Visualization, or Data Science
Finance, Supply Chain, Sales, and Customer Satisfaction people who work with data
Logistics, Accounting, Marketing, Trading, Administration, Manufacturing, Research, and Development Professionals
IIM SKILLS vs. Digital Vidya Data Analytics Course: Program Offerings
IIM SKIILS
Digital Vidya
Live Online Training
×
Self-Paced Learning
×
Free Demo Session
×
Money Back Guarantee
×
Assignments
Case Studies
Exams
Doubt Clearing Session
Attend from Anywhere
Lifetime Access to LMS
24×7 Support
Gov. of India Certificate
Career Mentoring
Resume Building
Interview Preparation
100% Internship Opportunity
×
IIM SKILLS vs. Digital Vidya Data Analytics Course: Certification
IIM SKILLS
Digital Vidya
After finishing all of the course modules, you will be required to sit for a final assessment exam.
Upon passing the examination, you can obtain the Master’s certification from IIM SKILLs which is government recognized.
To become certified in data analytics, you must complete the course modules and all the assignments and tasks given to you.
You must have also an 80% attendance rate to be qualified for the exam.
Upon successful completion of the exam and the data analytics course, Digital Vidya provides two certifications.
The one from Digital Vidya and another one from Vskills govt. recognized certification.
What You Will Learn Through IIM SKILLS Data Analytics Course:
The data analytics course travel path at IIM SKILLS is drawn to assist you in acquiring the necessary skills as you move through the courses.
Having these industry-specific skills strengthened will give you an advantage over the competition when looking for attractive work opportunities. Here is the list of skills you will acquire after completing this course:
Understand statistical ideas including central tendency, correlation, dispersion, and regression – Excel at SQL concepts like query and command tools.
Learn the complex details of Python concepts such as lists, contributions, branching, dictionaries, sets, objects, and classes.
Discover how to write Python programs utilizing the concepts of conditions, variables, loops, functions, etc.
Learn how to read and write files in Python while dealing with loading, and storing data with Pandas.
Using NumPy’s multi-dimensional arrays, Pandas’ Data Frame management, and Scikit-learn’s machine learning implementation, you may get a solid understanding of data interpretation in Python.
Analyze the performance of data analytics using Python Libraries.
Knowledge of linear and non-linear regression models, as well as classification approaches for data analytics work process.
Learn how to effectively use clustering techniques including hierarchical clustering, DBSCAN, and K-means.
Become proficient in Excel for business analytics.
Learn about Microsoft’s analytics and Visualization tools (Power BI).
Gain knowledge of Tableau’s model and statistics and develop your ability to create interactive dashboards.
Acquire knowledge of visualization techniques like market basket analysis, Pareto analysis, waterfall visualization, and heat maps.
What You Will Learn Through Digital Vidya’s Data Analytics Course:
Your development into a skilled data analyst is the goal of the Digital Vidya Data Analytics Course. You will be skilled in the following areas once you have finished the certification course:
Run data analytics with the use of Excel and SQL tools.
Acquire a solid foundation in statistics to extract and use relevant insights from massive datasets.
Discover using Excel to find and implement the best data visualization approaches.
Gain knowledge of descriptive and inferential statistics
Learn to use Power BI to create dynamic dashboards, visualize data, and import information from many sources.
Learn to recognize how to use analytics software like Power BI, Tableau, and QlikView
Contact Information
Email ID:
info@digitalvidya.com
Phone Number:
+91 8468 002 880
IIM SKILLS vs. Digital Vidya Data Analytics Course: FAQs
Q. Do both of the institutes provide placement assistance after completion of the course?
Digital Vidya only provides career mentoring and resume sessions. They do not provide any placement assistance while IIM SKILLS provides a two-month non-paid internship with an interview guarantee.
Q. Where can we work as Data Analyst?
You can work as a data analyst for small businesses, marketing firms, the healthcare industry, major corporations, and startups, or even as a freelancer. All kinds of firms who wish to learn more about their operations, clients, and industries can make use of your skills as a data analyst to fit well in all possible industries.
Q. What is the future scope of a Data Analyst?
The collection and interpretation of data for corporate intelligence and decision-making have risen significantly over the past several years, especially since the pandemic. Data analysis will become more valuable as new digital technologies are developed to help improve firms, which will lead to immense career advancement and job security.
IIM SKILLS vs. Digital Vidya Data Analytics Course: Conclusion
That’s it. As you got to know about data analytics in detail, we can say that this makes it a smart career choice with the potential for success. Both of these leading institutes IIM SKILLS and Digital Vidya have a unique way of delivering the course content. Please, contact the institute for more information. We hope, whichever data analytics course you take, it brings you success.
