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Introduction to R for Finance

4.8+
12 reviews
Beginner

Learn essential data structures such as lists and data frames and apply that knowledge directly to financial examples.

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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.
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In the following Tracks

Finance Fundamentals in R

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Quantitative Analyst in R

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  1. 1

    The Basics

    Free

    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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    Welcome to Introduction to R for Finance!
    50 xp
    Your first R script
    100 xp
    Arithmetic in R (1)
    100 xp
    Arithmetic in R (2)
    50 xp
    Assignment and variables (1)
    100 xp
    Assignment and variables (2)
    100 xp
    Financial returns
    50 xp
    Financial returns (1)
    100 xp
    Financial returns (2)
    100 xp
    Basic data types
    50 xp
    Data type exploration
    100 xp
    What's that data type?
    50 xp
  2. 2

    Vectors and Matrices

    In this 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.

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  3. 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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  4. 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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For Business

Training 2 or more people?

Get your team access to the full DataCamp platform, including all the features.

In the following Tracks

Finance Fundamentals in R

Go To Track

Quantitative Analyst in R

Go To Track

collaborators

Collaborator's avatar
Davis Vaughan
Lore Dirick HeadshotLore Dirick

Director of Data Science Education at Flatiron School

Lore is a data scientist with expertise in applied finance. She obtained her PhD in Business Economics and Statistics at KU Leuven, Belgium. During her PhD, she collaborated with several banks working on advanced methods for the analysis of credit risk data. Lore formerly worked as a Data Science Curriculum Lead at DataCamp, and is and is now Director of Data Science Education at Flatiron School, a coding school with branches in 8 cities and online programs.
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Don’t just take our word for it

*4.8
from 12 reviews
83%
17%
0%
0%
0%
  • Thashalak A.
    3 months

    Great course, Lore is a great instructor. Datacamp should keep her to be a main teacher.

  • Lily T.
    8 months

    Well-structured course and easy to follow for beginners to familiarize with the terminologies but also w/ the science behind them.

  • Alexander B.
    10 months

    Good content. Super teacher.

  • Weixin W.
    about 1 year

    I liked the course. It gave me a chance to learn R from a different angle, especially in understanding some R programming concept.

  • David E.
    over 1 year

    Lore is amazing and I have a mad crush on her. She explains things clearly without being pedantic and is always linking the skills being taught with the real-life applications.

"Great course, Lore is a great instructor. Datacamp should keep her to be a main teacher."

Thashalak A.

"Well-structured course and easy to follow for beginners to familiarize with the terminologies but also w/ the science behind them."

Lily T.

"Good content. Super teacher."

Alexander B.

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