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Introduction to R for Finance

BasicSkill Level
4.7+
90 reviews
Updated 05/2024
Learn essential data structures such as lists and data frames and apply that knowledge directly to financial examples.
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RApplied Finance4 hr14 videos61 Exercises5,200 XP85,351Statement of Accomplishment

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Course Description

In this finance-oriented introduction to R, you will learn essential data structures such as lists and data frames and have the chance to apply that knowledge to real-world financial examples. By the end of the course, you will be comfortable with the basics of manipulating your data to perform financial analysis in R.

Prerequisites

There are no prerequisites for this course
1

The Basics

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.
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2

Vectors and Matrices

3

Data Frames

4

Factors

Questions with answers that fall into a limited number of categories can be classified as factors. In this chapter, you will use bond credit ratings to learn all about creating, ordering, and subsetting factors.
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5

Lists

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.
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Introduction to R for Finance
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Don’t just take our word for it

*4.7
from 90 reviews
79%
20%
0%
1%
0%
  • maria
    4 days ago

  • Hernan
    6 days ago

    Thank you for your Guidance

  • Pritam
    5 weeks ago

  • Charlotte
    2 months ago

  • Yashodhan
    2 months ago

  • Onuorah
    2 months ago

    great and brief and to the point

maria

"Thank you for your Guidance"

Hernan

Pritam

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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