Skip to main content
HomeR

Track

Applied Finance in R

Updated 03/2026
Grow your financial skills in R. Learn how to evaluate portfolios, calculate credit risk, and create GARCH models to forecast volatility.
Start Track for Free
RApplied Finance26 hr2,443

Create Your Free Account

or

By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.

Loved by learners at thousands of companies

Group

Training 2 or more people?

Try DataCamp for Business

Track Description

Applied Finance in R

Grow your financial skills in R and learn how to manipulate data and make better data-driven decisions.You’ll begin this track by learning how to evaluate portfolios and value stocks using present value approaches, free cash flow, and equity and dividend discount models. Next, you’ll explore life insurance products and learn the basics of financial trading. Through interactive coding exercises, you’ll use powerful libraries, including quantmod, QRM, xts, zoo, and quantstrat, to examine and manage credit risk. You’ll then apply what you’ve learned to answer questions commonly faced by financial firms, such as how to value a fixed interest rate bond and estimate a bond's yield. Along the way, you’ll also create GARCH models and get hands-on with real data from the US Treasury, daily Microsoft returns, and S&P 500 data. Start this track to advance your R financial skills.

Prerequisites

There are no prerequisites for this track

  • Course

    1

    Quantitative Risk Management in R

    Work with risk-factor return series, study their empirical properties, and make estimates of value-at-risk.

  • Course

    7

    Financial Trading in R

    This course covers the basics of financial trading and how to use quantstrat to build signal-based trading strategies.

  • Course

    8

    Credit Risk Modeling in R

    Apply statistical modeling in a real-life setting using logistic regression and decision trees to model credit risk.

  • Course

    9

    GARCH Models in R

    Specify and fit GARCH models to forecast time-varying volatility and value-at-risk.

Applied Finance in R
6 Courses
Track
Complete

Earn Statement of Accomplishment

Add this credential to your LinkedIn profile, resume, or CV
Share it on social media and in your performance reviewEnroll Now

FAQs

Is this Track suitable for beginners?

Yes, this track is suitable for beginners, because it explores the fundamentals of applied finance and how to manipulate data and make better decisions with R.

What is the programming language of this Track?

This track uses R, a popular programming language used in data science.

Which jobs will benefit from this Track?

This track will benefit people looking for roles in quantitative finance, such as financial analyst and risk analyst.

How will this Track prepare me for my career?

This track will provide a comprehensive understanding of the fundamentals of applied finance and will demonstrate how R can be used to work with data and make decisions.

How long does it take to complete this Track?

This track takes approximately 26 hours to complete.

What's the difference between a skill track and a career track?

A skill track is focused on upskilling users in a particular field, while a career track is focused on developing skills for more specific career endeavors.

What courses are included within this Track?

This track includes the following courses: Credit Risk Modeling in R, Financial Trading in R, Bond Valuation and Analysis in R, Quantitative Risk Management in R, Equity Valuation in R, GARCH Models in R.

What R libraries will I use?

This track will use the following R libraries: quantmod, QRM, xts, zoo, and quantstrat.

    Join over 19 million learners and start Applied Finance in R today!

    Create Your Free Account

    or

    By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.