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Berkeley Global
This course provides an introduction to the R programming language for data manipulation, statistical analysis, and graphics applications. R is available as free/open source software under the terms of the GNU General Public License, and runs on a wide variety of platforms including Windows, Mac OSX, Unix, and Linux. Because of its power and versatility - there are thousands of available libraries or "packages'' for everything from time-series analysis and machine learning, to data visualization - R is rapidly becoming the language of choice for engineers, scientists, researchers, and business analysts who are engaged in data preparation, analysis, and the generation of high-quality typographical and graphical results.
Prerequisites:
Course Prerequisites:
- Introduction to Statistics (STAT X10) or equivalent. Students must understand statistics up to linear regression.
- Introduction to SQL (COMPSCI X451.1) or equivalent. Students must be familiar with how to manage data in a database.
- Prior programming knowledge is helpful but not required.
Learner Outcomes
Upon completion of this course, students will be able to:
- Import and export data from standard file formats such as CSV and JSON
- Understand the basics of the R programming language, including data types and how to work with different data sources
- Use R packages to analyze and visualize data
- Utilize probability and statistics functions to perform statistical tests including hypothesis testing and confidence intervals, and regression analysis
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Spring 2025 enrollment opens on October 21!