Why Join PG Program in Business Analytics & Business Intelligence?
Alumni have transitioned to analytics roles
Average salary hike post completion
Companies share job opportunities with us
India’s #1 analytics program
Our rigorous learning ensures demonstrable competence development which you can showcase to transform your career to succeed in the digital economy.
Learn in classroom or online
Choose between weekend classroom sessions or online live mentorship sessions.
International Recognition and Dual Certificate
Dual Certificate from The University of Texas at Austin, McCombs School of Business, world rank #2 in Analytics and Great Lakes, India rank #1 in Analytics.
Learn while you earn with our weekend classes. We accommodate transfer cases, sabbaticals & provide the option to catch up even when you have missed classes.
PG Business Analytics Course Learning Experience
The PG Program in Business Analytics and Business Intelligence (PGP-BABI), is offered by Great Learning in collaboration with The McCombs School of Business at The University of Texas at Austin and Great Lakes, India. It is a comprehensive Business Analytics Course that covers the latest analytics tools and techniques along with their business applications. The topics are covered in a practical and hands-on manner with real world case studies to enable participants to succeed in business roles using data analytics.
PGP - Business Analytics and Business Intelligence has been ranked No.1 in India by AIM. UT Austin McCombs School of Business' MS in Business Analytics is ranked No.2 in the world by QS World University Rankings.
Our business analytics course offers a blended learning environment or an online learning environment that causes minimal disruptions to work schedule. Sessions are assisted by online webinars, discussions and assignments for continuous and cumulative learning.
Our corporate partners are deeply involved in curriculum design, facilitating projects, industry lectures, and professional evaluation.
The Capstone project allows you to apply your learning to real industry projects and add it to your portfolio for potential employers to see as a tangible body of work.
Talent pool in the PG Business Analytics course
Interaction in the classrooms is not just with peers but active employees from different industries who bring their unique experiences to the fore.
The Business Analytics course is delivered in 2 formats - Classroom mode and Online mode. The Business Analytics course curriculum has been designed in collaboration with faculty from Great Lakes and UT Austin McCombs School of Business. The teaching and content in the course is by faculty from Great Lakes, UT Austin and other practicing data scientists and analytics experts. The capstone projects are approved by Great Lakes and UT Austin McCombs School of Business Faculty.
- Introduction to Business Analytics
- R for Data Science
- Introduction to R and R-Studio
- Dealing with Data using R
- Visualization using R
- Descriptive Statistics
- Introduction to Probability
- Probability Distributions
- Hypothesis Testing and Estimation
- Goodness of Fit
- Fundamentals of Finance
- Working Capital Management
- Capital Budgeting
- Capital Structure
- Core Concepts of Marketing
- Customer Life Time Value
- Analysis of Variance
- Regression Analysis
- Dimension Reduction Techniques
- Introduction to Supervised and Unsupervised Learning
- Decision Trees
- Random Forest
- Neural Networks
- Multiple Linear Regression
- Logistic Regression
- Linear Discriminant Analysis
- Introduction to Time Series
- Autoregressive models
- Handling Unstructured Data
- Machine Learning Algorithms
- Bias Variance trade-off
- Handling Unbalanced Data
- Model Validation
- Linear programming
- Goal Programming
- Integer Programming
- Mixed Integer Programming
- Distribution and Network Models
- Marketing and Retail Terminologies
- Customer Analytics
- Retail Dashboard
- Customer Churn
- Association Rules Mining
- Web Analytics: Understanding the metrics
- Basic & Advanced Web Metrics
- Google Analytics: Demo & Hands on
- Campaign Analytics
- Text Mining
- Why Credit Risk-Using a market case study
- Comparison of Credit Risk Models
- Overview of Probability of Default (PD) Modeling
- PD Models, types of models, Steps to make a good model
- Market Risk
- Value at Risk - using stock case study
- Introduction to Supply Chain
- Dealing with Demand uncertainty
- Designing Optimal Strategy using Case Study
- Inventory Control & Management
- Inventory classification
- Inventory Modeling
- Costs Involved in Inventory
- Economic Order Quantity
- Advanced Forecasting Methods
- Examples & Case Studies
Visualization and insights
- Introduction to Data Visualization
- Introduction to Tableau
- Basic charts and dashboard
- Descriptive Statistics, Dimensions and Measures
- Visual analytics: Storytelling through data
- Dashboard design & principles
- Advanced design components/ principles : Enhancing the power of dashboards
- Special chart types
- Case Study: Hands on using Tableau
- Integrate Tableau with Google Sheets
Languages and tools
- SAS (Online Module)
Capstone - The Cornerstone
The Capstone Project is an application-oriented industry project where candidates are mentored and evaluated by Great Lakes faculty and Industry Experts. It allows them to apply their learning to real life projects and add it to their portfolio as a tangible 'body of work' for potential employers to see. It is a growth enabler that instills both confidence and conviction in our candidates.
Credit risk analytics using machine learning techniques.
Route optimization and vehicle utilization
This project's objective is to develop a predictive model that will help reach 100% capacity utilization of the cabs and route optimization of cabs by optimal allocation to visit the pickup and drop-off locations of the employees and thereby reducing the cost of operations.
Linear Programming, R, TABLEAU
Actionable insights for improving sales of a consumer durables retailer using POS data analytics
Market Basket Analysis, RFM (Recency-Frequency- Monetary) analysis, Time Series Forecasting
Prediction of user's mood using the smartphone data
Logistic Regression, Random Tree, ADA Boost, Random Forest, KSVM
Start-up insights through data analysis
Univariate and Bivariate Analysis, Multinomial Logistic Regression, Random Forest
Customer engagement and brand perception of Indian ecommerce - A social media approach
Word Cloud & Correlation, Topic modelling using LDA with Gibbs Sampling and using Hierarchical Agglomerative Cluster Dendogram, Sentiment Analysis, & Clustering
Car review blogs and tweets analysis
This project analyzes factors impacting car buying decisions using online and offline consumer data. This will enable car dealers to effectively close new leads and help marketers plan their campaigns effectively.
Text Mining, Web Analytics, Classification
Improving sales performance of a major automotive manufacturer
This project attempts to focus on one segment where the sales growth has been stagnant and leverage analytical models for sales improvement using sales transaction data to analyse the current customer trends and key areas for improving sales.
Cluster Analysis, TABLEAU, Time Series Analysis
Dissecting the Mumbai traffic using web analytics
This Project solves the traffic congestion problem in Mumbai, India' most populous city, by using data analytics in the traffic routing, and planning process. This would help the Traffic police, Governement and in turn help the citizens save a lot of valuable time in commuting to work daily.
Logistic Regression, R, TABLEAU
Taping importance of social data and economic factors to understand trends in Bitcoin.
This projects objective is to forecast the price of the Bitcoin using external events, economic factors and social data. Also, find out the effect of Influencer community on the price.
Factor Analysis, Logistic Regression, Neural Networks
Participate in company sponsored hackathons and establish your expertise. Apply your new skills to solve real-world business problems. Here are some of our recent hackathons.
Hackathon: 21st Jul 2019
To predict annual turnover of a restaurant based upon various parameters.
Hackathon: 14th Jul 2019
Old Car Price
To predict the price of second hand cars based upon the various parameters.
- Delhi NCR
Hackathon: 07th Jul 2019
To predict whether a debtor is able to meet the legal obligation of debt repayment based upon the different parameters.
Meet Your Faculty
The faculty and industry speaker pool of the course consists of leading academicians in the field of data analytics along with several experienced industry practitioners from leading organizations. Our esteemed faculty is consistently ranked among the Top 10 most prominent analytics and data science academicians.
12-month classroom mode
Learn in real classrooms with 30 classroom sessions taking place one weekend a month, get access to an online learning management system for online content.
11-month online mode
Learn through 30 online personalized mentorship sessions along with access to content on our easy to use Learning Management System.
Career Support - GL Excelerate
As a participant in the Great Learning's program, GL Excelerate helps you unlock your potential, highlight your skills and connect to the right opportunities for your next job.
Exclusive recruitment drives
Attend Great Learning job fairs organised every 2 months across cities. Participate in our recruitment drives with top tech companies looking for professionals like you.
Access to curated jobs
Access a list of jobs relevant to your experience and domain. Leverage our dedicated career support team working with 350+ organisations, who’ll recommend the right jobs for you.
Interview preparation workshops
Familiarise yourself with commonly asked questions that’ll help you crack any technical interview. Use your ePortfolio to showcase your skills and improve your chances of getting hired.
Personalised career mentorship
Get an expert career mentor personalised to your experience and industry, who will help you navigate your path to career success. Get guidance on choosing the right opportunities, building a great CV and much more.
Organizations Participating in Recruitment Drives
Alumni Success Stories
The PG-Business Analytics Course class consists of working professionals from excellent organizations and backgrounds maintaining an impressive diversity across work experience, roles and industries.
Batch Industry Diversity
Batch Work Experience Distribution
The PG Business Analytics course learners come from some of the leading organizations.
- done Bachelor's degree with a minimum of 50% aggregate marks or equivalent.
- done At least 2 years of full-time post qualification work experience.
Fill application form
The faculty panel will review all the applications and shortlist candidates based on their profiles.
Shortlisted candidates will go through a telephonic interview round which will then be reviewed by a faculty panel.
An admission offer will be made to selected candidates which has to be accepted by paying the admission fees.
Fee for Classroom Mode
*No-Cost EMI available
Fee for Online Only Mode
*No-Cost EMI available
Candidates can pay the program fee through
With our corporate financial partnerships avail education loans at 0% interest rate and 100% Tax Benefit for interest paid under Sec (80E)*.
*Conditions Apply. Please reach out to the admissions team for more details.
Upcoming Application Deadline
We follow a rolling admission process and admissions are closed once the requisite number of participants enroll for the upcoming batch. So, we encourage you to apply early and secure your seat.Apply Now
Please reach out to the admission office if you have any queries.
Related Programs for you
Frequently Asked Questions
Upon completion, all successful participants get Dual Certificates from Great Lakes and The University of Texas McCombs School of Business.
- For the classroom format, classes will be held on one weekend each month for the 12 months.
- For the online format, mentored online sessions will be held on either a Saturday or a Sunday.
- The curriculum covers general management subjects and provides a detailed study in analytics.
- The courses are taught by eminent faculty from Great Lakes and senior executives from the analytics industry.
- The Program provides the candidates with hands-on exposure to tools such as R, Tableau, Python and SAS.
- The various delivery models of the program being available in a classroom format as well as a completely online format, which makes it convenient for working professionals to attend classroom sessions or mentored online sessions without having to quit their jobs.
- Payment of Rs.50,000 at the time of acceptance of admission.
- Payment of the remaining amount in 3 equal installments.
- Payment of Rs.25,000 at the time of acceptance of admission.
- Payment of the remaining amount in 3 equal installments.
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Everything you need to know about Business Analyst and Data Analyst
If you are someone who loves to play with the verses of data, you might currently be at a professional crossroad when planning on whether you stay at your current job or move ahead. Now, if you are wondering which position might suit you best, Data Analyst or Business Analyst, here is an in-depth detailing of what might help your boat float.
Now, both roles will help you assess your love for analyzing data and help you appeal to the affinity you have for solving problems. Both these positions will also pair perfectly with a detailed affinity for data science. However, these two roles actually require different focuses and skill sets, making it important for you to pick the right path. Where you opt for business analyst training or data analyst training, here is everything you should know before making the choice. But before you go ahead, make sure you check out the business analyst training and data analyst training programs provided by Great Learning.
Who is a Business Analyst?
In simple terms, a business analyst is someone who identified the technology-based solutions required to solve an amorphous business issue. They work with a plethora of industries which include transportation, healthcare, banking, finance, manufacturing, telecommunications, and software services. In short, a business analyst is someone who executes and identified new ways for a business to capitalize on the use of technology. Great Learning provides you access to both online as well as an offline variant for its Business Analytics course. The PGP-Business Analytics & Business Intelligence course is available both online and classroom for a term of 12 months. Additionally, you can sign up for the Business Analytics Certificate Program available online. The course is of 6 months duration.
Business Analysts specialize in the following positions:
- Systems Analyst
- Business Systems Analyst
- Functional Analyst
- Agile Analyst
- Request Analyst
Business Analyst’s responsibilities include:
- Ongoing Work Habit Data Review
- Identification of Technological Challenges by Interviewing Users
- Preparation of Documents Outlining Detailed Requirements to Address Business Challenges
- Creation of Flowcharts for the Programmers
- Designing & Execution of Scenarios and Test Scripts
- Management of Project Change Requests
Who is a Data Analyst?
Now, the position of a Data Analyst might be similar to that of a Business Analyst, but it isn’t one and the same. Data Analysts are the skilled individuals who use a specialized set of analysis tools and techniques for determining how a business can use the data for making a rather informed decision. Data Analysts function in a rather direct manner with data. They are known to identify the crucial business queries and applying the most relevant statistical techniques in order to use data in a useful manner and hence develop conclusions. With Great Learning, you can enroll for the PGP-Data Science and Engineering course that involves weekday classroom sessions with an overall duration of 5 months.
Data Analysts specialize in the following positions:
- Healthcare Information Management
- Computer Science
- Database Administration
- Business Analysis
Data Analyst’s responsibilities include:
- Culling Data with Use of Advanced Computerized Models
- Removal of Erroneous Data
- Performing Analyses for Assessment of Data Quality
- Preparing Reports
- Extrapolating the Data Patterns
Why Learn Business and Data Analytics Course?
As a skilled business analyst, you bring in a sturdy foundational skill for data science along with the ability for strategic business development. A business analytics course helps you plan various projects, identify the key indicators of better performance, create multiple use-case scenarios, as well as communicate and engage with stakeholders are multiple levels of the organization.
On the other hand, the data analyst courses help you understand the use of various tools and techniques that determine the way any business can use its data for crafting an informed decision. While this might sound similar to business analysts, it is actually different. This is because data analysts work directly with data and are responsible for the identification of crucial business questions. They also learn the different ways to apply the statistical techniques in order to harness structured as well as unstructured data. Great Learning is an ideal location for career enthusiasts to enroll in their desired course. This educational organization has churned 25000+ successful learners over the year with more than 22 Million+ learning hours delivered to date.
Key Difference between Business Analyst and Data Analyst
|Category||Business Analyst||Data Analyst|
|Overall Responsibility||Provide Functional Specifications of an organization that shape up the IT system||Extracts meaning from IT system shaped up by Business analysts|
|Salary||Average Annual-$75,575||Average Annual-$70,246|
|Skill sets||Knowledge of Data Science, Communication, negotiation, analytical thinking, and management||Same skills with in-depth focus over manipulation of technical data|
|User Interaction||Direct Interaction attained with customers, system users, system developers||Initial consultation with experts in subject matter for identification of crucial data sets. A large chunk of work done independently|
Skill Set Honed by Data Analyst
Data Analysts possess multiple skills depending on the projects and work environment. In order to succeed as a data analyst, you need both technical as well as business skills. Here are some of the skills needed by a data analyst:
- Use of SAS or/and R Languages
- Understanding the Statistical Methods
- Database Design
- Machine Learning Technique
- Reporting Visualization and Data Mining
- Creative Thinking
- Proper Knowledge of Business Sector for Data Research
Skill Set Honed by Business Analyst
While some of the skill sets owned by a data analyst and a business analyst will mostly intersect, there are many varying skills as well. Here are some business and technical skills for a business analyst for consideration:
- Programming Skills
- Statistical Analysis with Software Understanding
- Business Intelligence Reporting
- Use of Query/Survey Tools and Software
- Data Visualization and Mining
- Effective Communication
- Analytic Problem Solving
- Creative Thinking
How can you prepare for the role of Business Analyst or Data Analyst?
If you are wondering whether you can transition from your current position to a data analyst or business analyst, you should consider getting a degree for a Master of Science in Data Science online or offline. Business analytics online course or Data Analyst courses have a particular curriculum that is primarily focused on sculpting both tech-data based science skills as well as “Power” skills like communication, leadership, & project management. These skills are noteworthy for both the positions. Additionally, a Masters degree in Data Science can help you bag a high-paying role of data scientist which is very much in demand. You can look for various online institutes that provide you easy access to such courses. Educational institutes such as Great Learning provide you these courses at affordable prices. The institute has success stories of students placed at reputed companies which include names such as Google, Genpact, Microsoft, Deloitte, IBM, Amazon, etc.