R Programming
Johns Hopkins University · View on Coursera ↗
Taught by Roger D. Peng, PhD, Jeff Leek, PhD, Brian Caffo, PhD
Data Science
About the course
In this course you will learn how to program in R and how to use R for effective data analysis. You will learn how to install and configure software necessary for a statistical programming environment and describe generic programming language concepts as they are implemented in a high-level statistical language. The course covers practical issues in statistical computing which includes programming in R, reading data into R, accessing R packages, writing R functions, debugging, profiling R code, and organizing and commenting R code. Topics in statistical data analysis will provide working examples.
The dissent
The most-upvoted critical review (277 votes, 2.0★).
“Course content was good, but assignments were too hard and not well linked to the rest of the content. I spent hours online trying to work out the assessments which then leads to the question of why the course”
Coursera's 4.5 comes from 22,382 ratings. Of those, 4.0% are 1–2★.
Starisk reads the reviews learners voted most helpful, and weights each by the square root of its votes: a review with 80 upvotes counts about five times one with 2. Unvoted reviews are not skipped out of laziness — by this model they carry no evidence that other students endorsed them.
That measures what the most-endorsed reviews say, not “true quality.” The rating distribution above is the whole population, so you can see the sample next to it.
Reviews read on 23 Oct 2026.Read them on Coursera ↗