Learning Outcome
R, R Studio, Vectors, Matrices, Arrays, Lists
Individual Course
CS50’s Introduction to Programming with R
Course Length
-
6-12 hours a week
Featuring faculty from:
An introduction to programming using a language called R, a popular language for statistical computing and graphics in data science and other domains.
An introduction to programming using a language called R, a popular language for statistical computing and graphics in data science and other domains. Learn to use RStudio, a popular integrated development environment (IDE). Learn to represent real-world data with vectors, matrices, arrays, lists, and data frames. Filter data with conditions, via which you can analyze subsets of data. Apply functions and loops, via which you can manipulate and summarize data sets. Write functions to modularize code and raise exceptions when something goes wrong. Tidy data with R’s tidyverse and create colorful visualizations with R’s grammar of graphics. By course’s end, learn to package, test, and share R code for others to use. Assignments inspired by real-world data sets.
Course created with support from Carter Zenke.
Self-Guided
EDX
Learning Outcome
Data Frames, Conditions, Functions, Loops, Exceptions, tidyverse
- Learn from Harvard faculty
- Do it on your own time
- Get a certificate, add it to your resume
- Be part of the Harvard Community
Faculty
Your Instructor
David J. Malan
Gordon McKay Professor of the Practice of Computer Science, Harvard University
David J. Malan is Gordon McKay Professor of the Practice of Computer Science at Harvard University in the School of Engineering and Applied Sciences as well as a Member of the Faculty of Education in the Graduate School of Education. He teaches Computer Science 50, otherwise known as CS50, which is among Harvard University's largest courses, one of Yale University's largest courses, and edX's largest MOOC. He also teaches at Harvard Business School, Harvard Law School, Harvard Extension School, and Harvard Summer School.
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CS50: Introduction to Computer Science
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Ways to take this course
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