- Descriptive Statistics
- Introduction to Probability
- Probability Distributions
- Hypothesis Testing and Estimation
- Goodness of Fit
- Home
- Great Learning
- Courses
- PG Program in Data Science and Business Analytics
Online
12 Months
₹ 338,729 350,000
Quick facts
particular | details | ||
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Medium of instructions
English
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Mode of learning
Self study, Campus Based/Physical Classroom
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Mode of Delivery
Video and Text Based
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Frequency of Classes
Weekends
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Course and certificate fees
Fees information
certificate availability
certificate providing authority
The syllabus
Data Science Foundations
Statistical Methods for Data Science
Business Finance
- Fundamentals of Finance
- Working Capital Management
- Capital Budgeting
- Capital Structure
Marketing and CRM
- Core Concepts of Marketing
- Customer Life Time Value
SQL Programming
- Introduction to DBMS
- ER diagram
- Schema design
- Key constraints and basics of normalization
- Joins
- Subqueries involving joins and aggregations
- Sorting
- Independent subqueries
- Correlated subqueries
- Analytic functions
- Set operations
- Grouping and filtering
- Introduction to Python
- NumPy
- Pandas
- Visualization using Python (Matplotlib & Seaborn)
- Dealing with Data using Python
Data Science Techniques
Advanced 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 Analysi
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
- Introduction to Supply Chain
- RNNs and its mechanisms
- 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
Capstone Project
Career Assistance: Resume building and Mock interviews
Instructors
Dr Abhinanda Sarkar
Academic Director
Great Learning
Other Bachelors, Other Masters, Ph.D
Mr Gurumoorthy Pattabiraman
Faculty
Great Learning
Other Masters
Dr Srabashi Basu
Professor
Great Learning
Ph.D
Mr Dipayan Sarkar
Professor
Freelancer
Other Masters
Mr Saurabh Agarwal
Professor
HBTU Kanpur
M.E /M.Tech.
Mr R Vivekanand
Operations Director
Freelancer
MBA