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Quick Facts

Medium Of InstructionsMode Of LearningMode Of DeliveryFrequency Of Classes
EnglishSelf Study, Virtual ClassroomVideo and Text BasedWeekends

Course Overview

PG Program in Data Science and Business Analytics (PGP DSBA) is a professional managerial course offered by one of the best analytics schools named Great Learning. The course is being provided by Great Learning in collaboration with The McCombs School of Business at The University of Texas at Austin and Great Lakes in India. This comprehensive PG Program in Data Science and Business Analytics certification course covers all the latest analytics tools and techniques. Additionally, it allows you to explore their business applications. The course combines practical and theoretical knowledge.

 The PG Program in Data Science and Business Analytics online course enables the students to succeed in business roles using data analytics by practically covering the curriculum with real-world case studies. The Post Graduate Program in Data Science and Business Analytics course is unique in the following ways.

  • Industry-relevant topics covered in details
  • Small groups of 15 learners with personalised mentors
  • Case studies and application-based curriculum 
  • Hands-on experience on exposure to different tools such as Tableau, Python, R, Advanced Excel.
  • Job-friendly and help you build a career in Data Science. 

The Highlights

  • The duration of the course is 11 months.
  • The candidates must have two years of proven work experience after their Bachelor’s Degree.
  • The course mode will remain online.
  • After the course you can make a career as Data Scientist or Business Analyst.

Programme Offerings

  • Program structure
  • Industry Exposure
  • World-Class Faculty
  • Career
  • Corporate collaboration

Courses and Certificate Fees

Certificate AvailabilityCertificate Providing Authority
yesGreat LearningTexas McCombs

The fee for the complete course of the PG Program in Data Science and Business Analytics online course program is Rs. 2,50,000 plus GST. You must ensure that you can get a 10 percent fee waiver if you pay the whole amount in one go. You can avail of finance options from our financial institution partners at a 0 percent interest rate and 0 percent processing fee. We have tie-up with several financial institutes such as HDFC Credila, MoneyTap, Avanse Education, Zest Money, Eduvanz, Liquid Loans, and Propelled for availing education loans.


Eligibility Criteria

The Post Graduate Program in Data Science and Business Analytics program also demands the eligibility criteria before joining the course. Candidates are required to have at least 2 years of work experience after their Bachelor’s Degree. They must not have less than 50 percent aggregate marks. Though graduation(minimum of 3 years) is a must for the course, it is often seen that students after their MBA/PGPM 

The candidate must have completed their Bachelor’s Degree irrespective of any discipline with at least 50 percent aggregate marks.

What you will learn

Machine learningData science knowledgeDatabase ManagementR ProgrammingKnowledge of Python

After completing the course of PG Program in Data Science and Business Analytics (PG DSBA) online certification classes, you will have gained knowledge in Data Science managerial skills. With the acquired skills, you will be able to deal with any kind of business problem. As you are specialising in a particular subject (DSBA), unlike regular PGPM/MBA, you will be able to concentrate better, and chances of getting a dream job are higher. In MBA, there is a possibility you might not get a job in your preferred specialisation. 


Admission Details

The PG Program in Data Science and Business Analytics online program has a very easy and straightforward admission process. We will discuss the various steps that need to be followed for the admission process.

Step 1: The first step is to fill the PG Program in Data Science and Business Analytics online application form at https://www.greatlearning.in/pg-program-dsba. 

Step 2: Enter your basic details like name, email id, phone number, education details, and work experience. 

Step 3: You will also have to upload your resume to apply for the course of PG Program in Data Science and Business Analytics and submit your application.

Application Details

Once candidates have filled the form for the Post Graduate Program in Data Science and Business Analytics certification course, the candidates will be shortlisted based on their profiles and notified through mail or call followed by their interview and admission.

While filling the admission form, you have to give 3 information

  • Personal Information - In this part, you have to fill in your name, father’s name, address, etc.
  • Educational Information - In this part, you have to fill in all the details of your past academics.
  • Professional Information - As 2 years of work experience is mandatory, you need to fill in the details of your work.

The Syllabus

Applicants can check Post Graduate Program in Data Science and Business Analytics course syllabus given below:

Introduction to Data Science
  • Descriptive Statistics
  • Introduction to Probability
  • Probability Distributions
  • Hypothesis Testing and Estimation
  • Goodness of Fit
Marketing and CRM
  • Customer Lifetime Value
  • Core concepts of marketing
Python for Data Science
  • Introduction to Python
  • NumPy
  • Pandas
  • Visualization using Python (Matplotlib & Seaborn)
  • Dealing with Data using Python
Business Finance
  • Capital Structure
  • Fundamentals of Finance
  • Capital Budgeting
  • Working Capital Management
SQL Programming
  • Schema design
  • Introduction to DBMS
  • ER diagram
  • Subqueries involving joins & aggregations
  • Key constraints & basics of normalization
  • Joins
  • Grouping and filtering
  • Sorting
  • Analytic functions
  • Correlated subqueries
  • Set operations
  • Independent subqueries

Optimisation Techniques
  • Goal Programming
  • Integer Programming
  • Linear programming
  • Mixed Integer Programming
  • Distribution and Network Models
Advanced Statistics
  • Dimension Reduction Techniques
  • Regression Analysis
  • Analysis of Variance
Predictive Modeling
  • Linear Discriminant Analysis
  • Logistic Regression
  • Multiple Linear Regression(MLR) for Predictive Analytics
Data Mining
  • Unsupervised learning
  • Supervised learning
  • Decision Trees
  • Neural Networks
  • Random Forest 
  • Clustering
Time Series Forecasting
  • Correlation
  • Introduction to Time Series
  • Forecasting
  • Autoregressive Models
Machine Learning
  • Handling unbalanced data
  • Handling Unstructured Data
  • Bias Variance trade-off
  • Model Validation
  • Machine learning Algorithms
  • Boosting

Marketing & Retail Analytics
  • Customer Analytics
  • Marketing and Retail Terminologies: Review
  • KNIME
  • Association Rules Mining
  • Retail Dashboards
  • Customer Churn
Web & Social Media Analytics
  • Basic & Advanced Web Metrics
  • Web Analytics: Understanding the metrics
  • Text Mining
  • Campaign Analytics
  • Google Analytics: Demo & Hands-on
Finance & Risk Analytics
  • Comparison of Credit Risk Models
  • Why Credit Risk-Using a market case study
  • Overview of the Probability of Default (PD) Modeling
  • PD Models, types of models, steps to make a good model
  • Value at Risk- using a stock case study
  • Fraud Detection
  • Market Risk
Supply Chain & Logistics Analytics
  • Introduction to Supply Chain
  • RNNs and its mechanisms
  • Inventory Control & Management
  • Advanced Forecasting Methods
  • Inventory Modeling
  • Inventory classification 
  • Designing Optimal Strategy using Case Study
  • Costs Involved in Inventory
  • Economic Order Quantity
  • Forecasting
  • Examples & Case Studies

Data Visualization using Tableau
  • Introduction to Tableau
  • Introduction to Data Visualization
  • Descriptive Statistics, Dimensions and Measures
  • Basic charts and dashboard
  • Dashboard design & principles
  • Advanced design components/principles: Enhancing the power of dashboards
  • Visual analytics: Storytelling through data
  • Special chart types
  • Integrate Tableau with Google Sheets
  • Case Study: Hands-on using Tableau

Evaluation process

You directly have to apply on the official website. You will get a call if they select your candidature after evaluating your resume. There are no exams as such now.  

Instructors

Texas McCombs Frequently Asked Questions (FAQ's)

1: Do Great Lakes award the Data Science and Business Analytics Course certificate?

Yes, candidates get the certificate for the Post Graduate Program in Data Science by Great Lakes Executive Learning.

2: Is there anything unique about the curriculum in PGP-Data Science?

The unique features of the program include exposure to tools like RTableauSAS, and Python through this program, unlike general management studies.

3: How will the PGDSBA course help me in my career in terms of growth?

The Post Graduate Program in Data Science gives you relevant knowledge and skills that enable you to pursue managerial careers in analytics as a Big Data Developer, Lead Analyst, Senior Research Analyst, Research Reporting Analyst, Data Scientist and more.

4: Are there any placements after the Data Science and Business Analytics Course?

At Great Learning, all the career support activities come under the GL Excelerate program. Students can access regular recruitment drives, career mentorship from professionals, up to 50 curated jobs every month, workshops on interview preparations under GL Excelerate.

5: Is there a Difference between PGP-BABI and PGP-DSBA?

PGP-DSBA stands for PG Program in Data Science and Business Analytics, where PGP-BABI stands for PG Program Business Analytics and Business Intelligence. DSBA course is majorly for those people who are willing to pursue a slightly technical course mainly in Python. 

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