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Work with risk-factor return series, study their empirical properties, and make estimates of value-at-risk.
Work with risk-factor return series, study their empirical properties, and make estimates of value-at-risk.
Track
Grow your financial skills in R. Learn how to evaluate portfolios, calculate credit risk, and create GARCH models to forecast volatility.
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Make progress on the go with our mobile courses and daily 5-minute coding challenges.
Course
Work with risk-factor return series, study their empirical properties, and make estimates of value-at-risk.
Work with risk-factor return series, study their empirical properties, and make estimates of value-at-risk.
Course
Learn the fundamentals of valuing stocks.
Learn the fundamentals of valuing stocks.
Course
Learn to use R to develop models to evaluate and analyze bonds as well as protect them from interest rate changes.
Learn to use R to develop models to evaluate and analyze bonds as well as protect them from interest rate changes.
Course
This course covers the basics of financial trading and how to use quantstrat to build signal-based trading strategies.
This course covers the basics of financial trading and how to use quantstrat to build signal-based trading strategies.
Course
Apply statistical modeling in a real-life setting using logistic regression and decision trees to model credit risk.
Apply statistical modeling in a real-life setting using logistic regression and decision trees to model credit risk.
Applied Finance in R
Track
Complete
Director of Data Science Education at Flatiron School
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.
This track uses R, a popular programming language used in data science.
This track will benefit people looking for roles in quantitative finance, such as financial analyst and risk analyst.
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.
This track takes approximately 26 hours to complete.
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.
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.
This track will use the following R libraries: quantmod, QRM, xts, zoo, and quantstrat.
The tracks helped me complete my journey without feeling lost. Each course builds on the last, keeping me motivated and on track

DataCamp helped me transition from someone curious about data to someone actively applying these skills in my job
I've been using DataCamp for four years, and it's helped me transition from filling gaps in my skills to proactively creating value for my company