Introductory Tools for Quantitative Research

Resources

1. R Style Guide
2. R Resources (Free Courses, Books, Tutorials, & Cheatsheets)
3. Data Cleaning

Workflow

Introduction to Quant Researh - note the following main ideas:

1. Packages - installation/loading packages
2. Data sources - selecting data vendors
3. Cleaning - vectors, data frames, indexing
4. Visualization - packages to visualize data
5. Log returns - Why Log Returns
6. Correlation - asset beta, correlation matrices, etc
7. Portfolio Analysis - sharpe ratio as a measure of 'alpha'