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Why Learn Analytics?

Why Join PG Program in Business Analytics & Business Intelligence?

Great Learning career tran

4000+

Alumni have transitioned to analytics roles

Great Learning Salary Hike

48%

Average salary hike post completion

Great Learning job opportunity

200+

Companies share job opportunities with us

Great Learning number one
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.

Great Learning online class
Learn in classroom or online

Choose between weekend classroom sessions or online live mentorship sessions.

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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.

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Flexibility

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.

Great Learning innovative approach
Innovative approach

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.

Great Learning corporate collaboration
Corporate collaboration

Our corporate partners are deeply involved in curriculum design, facilitating projects, industry lectures, and professional evaluation.

Great Learning capstone project
Capstone project

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.

Great Learning talent pool
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.

Join India's #1 Analytics Program

Weekend Classroom | Online Mentorship

Dual Certificate & ePortfolio

Earn a Dual Certificate from The University of Texas at Austin - McCombs School of Business and Great Lakes. Your certificate and Analytics Portfolio can also be shared on social media channels to establish your credibility in Business Analytics.

Great Learning Business Intelligence and Business Analytics certificate
Business Analytics and Business Intelligence certificate by university of Texas at Austin

Sample ePortfolio

Curriculum

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.

Foundations
Introduction to Business Analytics
  • Introduction to Business Analytics
  • R for Data Science
  • Introduction to R and R-Studio
  • Dealing with Data using R
  • Visualization using R
Statistical Methods for Decision Making
  • Descriptive Statistics
  • Introduction to Probability
  • Probability Distributions
  • Hypothesis Testing and Estimation
  • Goodness of Fit
Business Finance
  • Fundamentals of Finance
  • Working Capital Management
  • Capital Budgeting
  • Capital Structure
Marketing and CRM
  • Core Concepts of Marketing
  • Customer Life Time Value
Analytics techniques
Advance Statistics
  • Analysis of Variance
  • Regression Analysis
  • Dimension Reduction Techniques
Data Mining
  • Introduction to Supervised and Unsupervised Learning
  • Clustering
  • Decision Trees
  • Random Forest
  • Neural Networks
Predictive Modeling
  • Multiple Linear Regression
  • Logistic Regression
  • Linear Discriminant Analysis
Time Series Forecasting
  • Introduction to Time Series
  • Correlation
  • Forecasting
  • Autoregressive models
Machine Learning
  • Handling Unstructured Data
  • Machine Learning Algorithms
  • Bias Variance trade-off
  • Handling Unbalanced Data
  • Boosting
  • Model Validation
Optimization Techniques
  • Linear programming
  • Goal Programming
  • Integer Programming
  • Mixed Integer Programming
  • Distribution and Network Models
Domain exposure
Marketing and Retail Analytics
  • Marketing and Retail Terminologies
  • Customer Analytics
  • KNIME
  • Retail Dashboard
  • Customer Churn
  • Association Rules Mining
Web & Social Media Analytics
  • Web Analytics: Understanding the metrics
  • Basic & Advanced Web Metrics
  • Google Analytics: Demo & Hands on
  • Campaign Analytics
  • Text Mining
Finance & Risk Analytics
  • 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
Supply Chain & Logistics Analytics
  • 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
  • Forecasting
  • Advanced Forecasting Methods
  • Examples & Case Studies
Visualization and insights
Data Visualization using Tableau
  • 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
  • R
  • Python
  • Tableau
  • 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.

Hackathons

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.

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Hackathon: 21st Jul 2019

Restaurant Turnover

To predict annual turnover of a restaurant based upon various parameters.

35 Teams
  • Bangalore
  • Online
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Hackathon: 14th Jul 2019

Old Car Price

To predict the price of second hand cars based upon the various parameters.

30 Teams
  • Delhi NCR
  • Mumbai
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Hackathon: 07th Jul 2019

Loan Default

To predict whether a debtor is able to meet the legal obligation of debt repayment based upon the different parameters.

25 Teams
  • Chennai
  • Hyderabad
  • Online
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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.

Hands-On Learning from Analytics Practitioners

Get invaluable input from the who's who of the industry:

Delivery Formats

Great Learning unique learning
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.

Great Learning online mode
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.

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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.

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Access to curated jobs

Access a list of jobs relevant to your experience and domain. Leverage our dedicated career support team working with 200+ 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.

Great Learning career mentorship
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.

Alumni Success Stories

Batch Profile

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

Learning course batch industry diversity

Batch Work Experience Distribution

Learning batch work experience distribution

The PG Business Analytics course learners come from some of the leading organizations.

Great Learning Business Analytics learners from leading organisations

Admission Details

Eligibility

  • 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.
Grear Learning admission and selection process

Selection Process

Step 1

Fill application form

Step 2

Application review

The faculty panel will review all the applications and shortlist candidates based on their profiles.

Step 3

Telephonic interview

Shortlisted candidates will go through a telephonic interview round which will then be reviewed by a faculty panel.

Step 4

Admission Offer

An admission offer will be made to selected candidates which has to be accepted by paying the admission fees.

Fee for Classroom Mode

Great Learning rupee icon 3,95,000 + GST

*No-Cost EMI available

Installments
Admission Fee Great Learning rupee icon 50,000
1st Installment Great Learning rupee icon 1,15,000
2nd Installment Great Learning rupee icon 1,15,000
3rd Installment Great Learning rupee icon 1,15,000
Total 3,95,000

Fee for Online Only Mode

Great Learning rupee icon 2,25,000 + GST

*No-Cost EMI available

Installments
Admission Fee Great Learning rupee icon 25,000
1st Installment Great Learning rupee icon 66,667
2nd Installment Great Learning rupee icon 66,667
3rd Installment Great Learning rupee icon 66,666
Total 2,25,000

Payments

Candidates can pay the program fee through

account_balance
Net Banking
credit_card
Credit/Debit Cards
Cheque, DD

Financial Aid

With our corporate financial partnerships avail education loans at 0% interest rate and 100% Tax Benefit for interest paid under Sec (80E)*.

Great Learning education loan partners by Axis bank
Great Learning education loan financial partners by Zestmoney
Great Learning education loan financial partners by Eduvanz
Great Learning education loan financial partners by HDFC

*Conditions Apply. Please reach out to the admissions team for more details.

Upcoming Application Deadline

2nd Apr 2020

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

Frequently Asked Questions

What is the ranking of UT Austin McCombs School of Business Analytics Course?
MS in Business Analytics offered by McCombs School of Business at The University of Texas at Austin is ranked No. 2 in the world by QS World University Rankings (2018).
What is the role of The University of Texas at Austin McCombs School of Business in the PG Business Analytics Course?
The PG Business Analytics Course curriculum has been designed in collaboration with Great Lakes and UT Austin McCombs School of Business. The teaching and content in the program is by faculty from Great Lakes, UT Austin McCombs School of Business and other practicing data scientists and analytics experts. The capstone projects are approved by Great Lakes and UT Austin McCombs School of Business Faculty.

Upon completion, all successful participants get Dual Certificates from Great Lakes and The University of Texas McCombs School of Business.
What is the Eligibility criteria for this Business Analytics Course?
The Post Graduate Business Analytics Course is an Analytics focused management program designed and delivered by Great Lakes Executive Learning. Since this is an executive business analytics course that prepares professionals for managerial careers in Analytics, a graduate degree in any discipline with minimum 50% marks and a prior work experience of at least two years is required. However, for the PG Business Anlytics Online Course, it is not mandatory for the candidate to have work experience.
What are the delivery formats available for the business analytics course?
The PG Business Analytics course is available in 2 formats: Classroom based learning and completely online learning.
  • 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.
What is course calendar for the PG Business Analytics Course?
The program follows classroom sessions on one weekend a month. Check the Batch Commencement Details (under Deadlines above) for details.
What is unique about the curriculum in PG Business Analytics Course?
The PG Business Analytics and Business Intelligence course is unique in curriculum design on the following fronts:
  • 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.
How will the PG Business Analytics and Business Intelligence course help progress in my career?
The Post Graduate Program in Business Analytics equips you with the relevant knowledge and skills to pursue managerial careers with best of analytics companies or move the analytics roles within your existing organization. You can know more about the career transitions made by our alumni by clicking here.
Will the Business Analytics Course certificate be awarded by Great Lakes?
The certificate for the Post Graduate Program in Business Analytics will be awarded by Great Lakes Executive Learning.
Would Great Lakes faculty be teaching in this course?
The academic modules would be taught by senior faculty from Great Lakes, out of which 3 of the professors are also ranked amongst India’s Top 10 Analytics Academicians. In addition to, Great Lakes faculty, senior leadership from the industry would also participate in delivering certain topics/modules.
Where will be the classes be conducted for the Classroom Format?
The classes for Delhi NCR, Hyderabad, Chennai, Bangalore, Mumbai & Pune will be held at their respective Campuses/Centers in the city.
What is the payment schedule for the Business Analytics course?
Chennai/ Delhi NCR/ Bangalore/ Mumbai Program Fee The total Program fee of Rs.4.25 lakhs plus GST and can be paid at one go or according to the following payment schedule:
  • Payment of Rs.50,000 at the time of acceptance of admission.
  • Payment of the remaining amount in 3 equal installments.
Online program, the total program fee of Rs.2.25 lakhs plus GST and can be paid at one go or according to the following payment schedule:
  • Payment of Rs.25,000 at the time of acceptance of admission.
  • Payment of the remaining amount in 3 equal installments.
Is there any financial aid provided?
Great Lakes PG Business Analytics course has tie-ups with HDFC Credlia, Avanse Education (DHFL Group), and Zest Money for providing education loans.
Is accommodation also provided?
No accommodation is provided at our learning centers. Outstation candidates are requested to arrange accommodation themselves.
What is the refund policy for the course?
We advise all candidates to have complete information before enrolling in the program. No refund requests will be accepted once the fee has been paid. However, there is a deferment policy where a candidate can choose to defer his enrollment to a future batch.
Would I have to spend extra on books, online learning material or license fee?
All the requisite learning material is provided online to candidates through the Learning Management System. Candidates are free to purchase any reference books or material as may be recommended by the faculty.
Would the content be available to me after completion of the course?
We believe that learning should be continuous and hence, all the learning material in terms of lectures and reading content would be available to the candidates' up to one year post completion of business analytics course.
How will I be evaluated during Business Analytics Course?
PG Business Analytics Course is a holistic and rigorous course and follows a continuous evaluation scheme. Candidates are evaluated in the courses they undergo through case studies, quizzes, assignments or project reports.
Can my company sponsor me?
We accept corporate sponsorships and can assist you with the process. For more information, you can write to us at pgpbabi@greatlearning.in
Will there be placements at the completion of the Business Analytics Course?
The career support activities at Great Learning are clubbed under the GL Excelerate program, which helps you unlock your potential, highlight your skills and connect to the right opportunities for your next job. GL Excelerate provides every learner Exclusive access to Regular Recruitment drives, 30-40 curated Jobs every month, Interview preparation workshops and Career mentorship from mentors personalised to your experience and industry, who will help you navigate your path to career success. Know more about GL Excelerate
What is the admission process?
All interested candidates are required to apply to the Business Analytics course through the online application form. A panel of Great Lakes faculty evaluates all applications and therein, the shortlisted candidates are contacted for interviews. The interviews may be conducted in person or through telephonic or video conferencing.
How can I apply for the Business Analytics Course?
If you are interested in our Business Analytics Course, you can apply through the online application form. If you need assistance from our team, write to us at pgpbabi@greatlearning.in or call us at +91 84484 98158 and we shall guide you through the process.
How many Business Analytics course batches have been launched till date?
Till date, we have launched 60 batches across the centers.

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
  • Accounting
  • 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 20000+ successful learners over the year with more than 15 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.