Course
Introduction to R for Finance
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Prerequisites
There are no prerequisites for this courseThe Basics
Vectors and Matrices
Data Frames
Factors
Lists
Complete
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FAQs
Do I need any prior R or finance knowledge to start this course?
No. This course has no prerequisites and teaches R from scratch using finance-oriented examples. It is designed for complete beginners in both R and financial analysis.
What financial examples are used to teach R concepts?
You will work with historical stock prices for companies like Apple and IBM, bond credit ratings for learning factors, and build a small stock portfolio using lists.
What R data structures does this course cover?
You will learn numerics, characters, vectors, matrices, data frames, factors, and lists across five chapters, progressing from simple types to complex data containers.
How does the course use factors in a finance context?
You will use bond credit ratings as a practical example to learn how to create, order, and subset factors, which represent categorical data with a fixed set of possible values.
How long does this course take to complete?
It has 5 chapters and 61 exercises with a median completion time of about 3 hours. The five-chapter structure gives you thorough coverage of each core R data type.
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