Introduction to R for Finance Data Camp

Overview

Context

This Introduction to R for Finance course offered by Data Camp will help you be comfortable with the basics of manipulating your data to perform financial analysis in R.

What you will do during this course:

Get comfortable with the very basics of R and learn how to use it as a calculator. Also, create your first variables in R and explore some of the base data types such as numerics and characters.

In the second chapter, you will learn all about vectors and matrices using historical stock prices for companies like Apple and IBM. You will then be able to feel confident creating, naming, manipulating, and selecting from vectors and matrices.

Arguably the most important data structure in R, the data frame is what most of your data will take the form of. It combines the structure of a matrix with the flexibility of having different types of data in each column.

Questions with answers that fall into a limited number of categories can be classified as factors. In the fourth chapter, you will use bond credit ratings to learn all about creating, ordering, and subsetting factors.

Wouldn't it be nice if there was a way to hold related vectors, matrices, or data frames together in R? In this final chapter, you will explore lists and many of their interesting features by building a small portfolio of stocks.