Programme Type



10 Months

Deadline to Apply

21st May, 2022

Programme Fee

₹1,45,000 + GST (Excluding Registration Fee)

Class Timings

Saturdays First Session – 4:00 p.m. – 5.30 p.m. Second Session – 5:45 p.m. – 7:15 p.m.

Programme Overview

AI & ML: Driving Business Transformation

Programme Content

• Introduction to Data Modelling for Business
• Fundamentals of Statistics
• Inferential Statistics
• Descriptive Statistics with R
• Concept and Application of Sampling Theory
• Hypothesis and Testing with R
• Multivariate Analysis with R
• Principal Component Analysis and Linear Algebra

• Data Analytics with Python
• Python Libraries – NumPy, Pandas, Matplotlib, Scikit
• Data Visualisations with Tableau

• Idea of Supervised and Unsupervised Machine Learning
• Simple & Multiple Linear Regression
• Logistic Regression
• Cross-validation and Hyperparameter Tuning
• Decision Trees and Random Forest
• Boosting Algorithms
• Support Vector Machine
• Neural Networks – Overview of ANN, CNN, RNN
• Recommender System
• Clustering (K-means and Hierarchical)

• Unstructured Data Collection and Web Scrapping
• Concepts of Text Mining
• Natural Language Processing
• Document Classification and Clustering
• Document Summarisation
• Sentiment Analysis (Aspect Extraction, Lexicon and SentiWordNet)

• Introduction to Market Analytics
• Concepts of Customer Analytics
• Building Predictive Models: Sales Prediction and Price Prediction
• Customer Churn Problem
• Customer profitability and Customer Lifetime Value

• Business Analytics - HR Strategy Alignment
• Application of HR Metrics Across Talent Life Cycle
• Dynamic Dashboarding through PowerBI
• Organisational Network Analysis using Python
• Emotional Analysis using Python

• Understanding the Analytical Aspects of Operations Management
• Supplier Selection Analytics - Goal Programming Clustering
• Analytics for Distribution Network Design
• Analytics for Facility Location
• Inventory Analytics
• Maintenance and Quality Analytics

• Understanding Financial Data
• Financial Time Series - Introduction & Diagnostics
• Forecasting Models

• Application of Analytics in Healthcare
• Supervised ML in Healthcare - Case Study Approach
• Survival Analysis
• IoT in Healthcare

• Big Data Ecosystem
• Big Data Strategy
• ML Using Spark

• ML Pipeline
• Production Environment
• Model Deployment

Programme Highlights

Programme Details

Learning Outcomes
Programme Delivery
Campus Immersion
Who Should Attend?
Eligibility Criteria
Admission Criteria

Programme Directors’ Profiles

Dr. Samant Saurabh

Dr. Samant Saurabh

Assistant Professor, IT Systems & Analytics

Dr. Samant Saurabh has a PhD in Computer Science from the Indian Institute of Technology, Patna. He has done his Master’s from the University of Massachusetts, Amherst, and BTech from the Indian Institute of Technology, Guwahati, in Electronics and Communication Engineering. His area of interest is Computer Security, Data Mining, Machine Learning, and Algorithms. He is faculty in the Department of IT and Analytics at IIM Bodh Gaya. He is the founder of a YouTube channel called ‘saurabhschool’, which has around 81K subscribers.

Assessment and Certification

Evaluation Methodology
Attendance Criteria
Certification & Alumni Status

Date & Fees