This is compilation of notes for R for Data Analytics.

There are three parts

Part-I covers the following topics

  • Getting Started
  • R Data Types & Data Structures
  • A Short Introduction to R Programming
  • Data Exploration: Preprocessing, Transformation
  • Graphics in R

Part-II covers topics in Financial Modelling

  • Linear Regression
  • Panel Regression
  • Technical Analysis
  • VaR Forecasting and GARCH models

Part-III covers topics in Machine Learning

  • Introduction to Sampling and Resampling methods
  • Introduction to Logistic Regression and K-Nearest Neighbour
  • Machine Learning: CART (Classification & Regression Trees)
  • Text Mining example

The data files used in these notes are available here