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Finance Fundamentals in R

Updated 03/2026
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 hr

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Track Description

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.

Prerequisites

There are no prerequisites for this track

  • 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
Track
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FAQs

Is this Track suitable for beginners?

Yes, this Track is suitable for beginners. It introduces the fundamentals of finance and R so that users can gain an understanding of how to make data-driven decisions. There's no prior coding experience needed.

What is the programming language of this Track?

This Track uses the R programming language.

Which jobs will benefit from this Track?

The skills learned in this track can benefit careers in data science, finance, accounting, and analytics.

How will this Track prepare me for my career?

This Track teaches the fundamentals of finance and R, helping you understand how to make data-driven decisions. You will learn working with popular R packages, including xts, zoo, tidyquant, PerformanceAnalytics, and PortfolioAnalytics. You'll also gain hands-on experience working with real-world data, including stock data, investment portfolios, and data from the S&P 500.

How long does it take to complete this Track?

This Track is self-paced and typically takes 28 hours to complete.

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

Skill tracks focus on teaching you the skills needed to succeed in a particular industry, while career tracks are more focused on helping you obtain a job in that industry.

What topics does this Track cover?

This Track covers topics such as vectors, matrices, lists, and functions, working with time series data to evaluate index performance, importing and managing financial data from different sources, working with investment portfolios, calculating measures of risk, and calculating an optimal portfolio based on risk and return.

What techniques do I learn in this Track?

You will learn techniques such as working with popular R packages, including xts, zoo, tidyquant, PerformanceAnalytics, and PortfolioAnalytics, learning how to import and manage financial data, evaluating index performance with time series data, and calculating an optimal portfolio.

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