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Overview
Context
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 this Finance Fundamentals in R course offered by Data Camp, 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.
Programme Structure
Courses include:
- Intermediate R for Finance
- Manipulating Time Series Data inR
- Importing and Managing Financial Data in R
- Intermediate Portfolio Analysis in R
Key information
Duration
- Part-time
- 4 days
Start dates & application deadlines
You can apply for and start this programme anytime.
Language
English
Delivered
Online
Campus Location
- New York City, United States
Disciplines
Financial Technology View 64 other Short Courses in Financial Technology in United StatesWhat students do after studying
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Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- There are no prerequisites for this track
- 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.
- The skills learned in this track can benefit careers in data science, finance, accounting, and analytics.
Tuition Fees
Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
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International Applies to you
Applies to youNon-residentsFree - Out-of-StateFree
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Domestic
Applies to youIn-StateFree
Additional Details
This course can be accessed for free with the Data Camp Premium or Teams subscriptions
Funding
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