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Finance Fundamentals in R

Uppdaterad 2026-03
Gain the introductory skills you need to make data-driven financial decisions in R—using the xts, zoo, tidyquant, and PortfolioAnalytics packages.
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RApplied Finance28 timmar

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Finance Fundamentals in R

Learn the finance and R fundamentals you need to make data-driven financial decisions. There’s no prior coding experience needed. In this track, you’ll learn about fundamental R concepts including vectors, matrices, lists, and functions, before discovering how to work with time series data to evaluate index performance. Throughout the track, you’ll work with popular R packages, including xts, zoo, tidyquant, PerformanceAnalytics, and PortfolioAnalytics, as you learn to import and manage financial data from different sources, including Excel files and from the web. Hands-on exercises will reinforce your new skills, as you work with real-world data, including Apple stock data, Microsoft, investment portfolios, and data from the S&P 500. By the end of the track, you'll be ready to navigate the world of finance using R—having learned how to work with investment portfolios, calculate measures of risk, and calculate an optimal portfolio based on risk and return.

Förkunskapskrav

Det finns inga förkunskapskrav för detta spår

  • Course

    1

    Introduction to R for Finance

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

  • Course

    2

    Intermediate R for Finance

    Learn about how dates work in R, and explore the world of if statements, loops, and functions using financial examples.

Finance Fundamentals in R
6 courses
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Gå med över 19 miljoner elever och börja Finance Fundamentals in R idag!

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Genom att fortsätta accepterar du våra Användarvillkor, vår Integritetspolicy och att dina uppgifter lagras i USA.