Skip to main content
HomeRApplied Finance
skill track

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.

RClock26hrsLearn6 coursesTrophyStatement of Accomplishment

Create Your Free Account

GoogleLinkedInFacebook

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


1
R
Quantitative Risk Management in R

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

5 hours

Alexander J. McNeil Headshot

Alexander J. McNeil

Professor of Actuarial Science at the University of York.

Sparkles AI ASSISTANTUnlock Your Potential with Customized LearningNot sure where to start? Our AI assistant digs into your goals and interests to recommend the perfect courses. Start building skills that matter to you and your career.
Discover

Instructors

FAQs

Join over 13,510,000 learners and start Applied Finance in R today!

Create Your Free Account

GoogleLinkedInFacebook

or

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