1. Lecture Notes Topics:
Module 1 : Data Analytic Thinking
Module 2 : Prediction in Business
Module 3 : Classification in Business
Module 4 : Choosing the Best Model
e-Learning : Logistic Model and Regression Tree
Module 5 : Finding Structure in Data
Module 6 : Forecasting in Business
Module 7 : The Extra Bits
2. R Programming Cheatsheet ( 4 pages , font size 6 )
3. Handwritten Notes ( 3 pages )
4. Tutorials ( R code ) and datasets given