Data Analysis Bootcamp

In this section, you will learn the basic R programming and analysis skills necessary to do end-to-end data analysis where you:

1. Get data from the wild (messy spreadsheets, APIs, pdfs, etc.)

2. Tidy data and prepare it for analysis

3. Analyze the data to extract actionable insights.

4. Communicate your findings using professional quality data visualization.

Becoming an expert in these topics takes years. This data analysis bootcamp aims to boost you up the steepest part of the learning curve and familiarize you with resources to keep learning.

The four chapters in this section complement the content in the excellent R for Data Science 2e (R4DS) textbook’s Whole Game section with applications relevant to sustainable finance.