- Introduction to Data Analytics
- Introduction to R Programming
- Data Manipulation in R
- Data Import Techniques in R
- Exploratory Data Analysis
- Data Visualization in R
- Data Mining: Clustering Techniques
- Data Mining: Association Rule Mining & Collaborative filtering
- Linear and Logistic Regression
- Anova and Sentiment Analysis
- Data Mining: Decision Trees and Random Forest
- Project Work
