1. Data-Driven Marketing Decisions
- Introduction to the program
- Digital Disruption in Marketing
- From Digital Marketing to AI-Driven Marketing
- Data-Driven Marketing Decisions
- Basics of Market Research
- Capstone Project: AI Applications in Marketing (Examples)
- Case Studies on AI: Case Analysis and Presentations
2. Fundamentals of AI and ML
- Introduction to AI and ML
- Linear Regression and Logistic Regression
- Support Vector Machines
- Decision Trees and Random Forests
- Neural Networks
- Deep Learning for Time Series Predictions
3. AIML using R
- Setup and Basics of R and R Studio
- Data Preparation and Linear Regression in R
- Web Application Development (using Shinyapps)
- Logistic Regression
- SVM and Grid Search in R
- Decision Tree and Random Forests in R
- Neural Networks in R
4. AIML Applications in Marketing
- Case Study on Clustering (Segmentation)
- Case Study on Predicting Sales and Churn Modeling / Ensemble Methods
- Convolutional Neural Networks and Applications
- Time Series and RNN Forecasts
- Case Study on Forecasting Demand
- Capstone Project Proposals
5. AIML in Digital and Social Media Marketing
- Search Engine Marketing – Fundamentals
- Web Design Frameworks and Landing Pages (A/B Testing)
- Case Study on Feature Importance and Feature Selection
- Case Study on Digital Journey & Dealing with Imbalanced Data
- Case Study on CRM in Ecommerce Site
- Ecommerce: Market Basket Optimization and Recommendation Systems
- Ecommerce: Upselling/Cross-Selling (User-based and item-based collaborative filtering)
- Case Study on Product Recommendations
- Social Media Marketing – Fundamentals
- Social Media and User Generated Content: Consumer Sentiment Analysis: Case Study on User Reviews – Text Analytics
- Predicting Effectiveness of Social Media Posts (with data)
6. Futuristic Marketing
- Blockchain and Smart Contracts for Marketing I
- Blockchain and Smart Contracts for Marketing II
- IoTs, Augmented Reality and Virtual Reality for Marketing I
- IoTs, Augmented Reality and Virtual Reality for Marketing II
- Enhancing Customer Experience: Bots and Robotic Process Automation