Lecture Notes

Chapter 1 - Introduction to Data Science

Chapter 2 - Introduction to R and Python 

Chapter 3 - Data Exploration and Visualization using R and Python

Chapter 4 - Linear Regression

Chapter 5 - Logistic Regression

Chapter 6 - Performance Metrics

Chapter 7 - Nearest Neighbor Classifiers

Chapter 8 - Decision Trees

Chapter 10 - Support Vector Machines

Chapter 10 - Clustering

Reading Material

About Data Science

About R

About ggplot2

Python Book1 and Book2