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Learner Reviews & Feedback for R Programming by Johns Hopkins University

4.5
stars
21,189 ratings
4,574 reviews

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....

Top reviews

JM
Aug 11, 2019

Very challenging, but good course. I've been programming in R for over a year, but there were still some things for me to pick up in this class. Assignments were a challenge, but satisfying to tackle.

WH
Feb 2, 2016

"R Programming" forces you to dive in deep.\n\nThese skills serve as a strong basis for the rest of the data science specialization.\n\nMaterial is in depth, but presented clearly. Highly recommended!

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3951 - 3975 of 4,475 Reviews for R Programming

By Rachel K

Jan 20, 2018

I found a several of the assignments did not relate to the material covered in the lectures.

By Hamza T

Nov 3, 2016

It is not a beginner friendly course. Learn R from somewhere else and then take this course.

By Dhruv G

May 30, 2020

The assignments were tough as compare to the course content. Specially assignment of week 4

By Floris H

Jun 19, 2018

It is a huge step from the material to the assignments, more support on assignments needed.

By Andrey A

Apr 6, 2016

To many text on the slides. Video resolution is not adopted for smartphone (Asus zenfone 5)

By Samantha B

Apr 20, 2021

A lot of additional reading through forums was required to understand the course material.

By Rafee S

Mar 25, 2021

Course was good but assignment was too hard and there's no explanation of the assignments.

By navin g

Nov 10, 2017

The assignments are a little not related or more complex than what are there in the videos

By Lu E

Oct 15, 2017

the homework in this course is too easy to make me feel that I have made a great progress.

By Yutao L

Jun 20, 2017

Simply not tough enough...Maybe more topics regarding class programming should be covered?

By Shawn L

Apr 12, 2016

This course does not teach thoroughly. There is no direction or lead in to best practices.

By Russ L

May 12, 2018

I'd say good if you are well versed in R already BUT for me...a little too much too soon.

By Parth S

May 20, 2017

Not very clear instructions. It can go above the head at times. SWIRL part is the best.

By Ankush A

Jun 18, 2018

Assignments are much more advanced than what is taught and course matter is also less.

By Agus K

Aug 29, 2021

Good fundamental, but need will bee better by improving the quality of the assignment

By Julie R

May 12, 2020

Demanding. The peer reviewed task in week 3 is not adapted to the material content.

By Madelon d B

Feb 4, 2018

Nice course, sometimes a bit too abstract. Could do with some more vivid examples

By Vaibhav S

Apr 3, 2018

I am not very happy as even after learning I am not able to use R language much

By Kumar A S

Sep 9, 2017

This course will be difficult to complete if you are a beginner in programming.

By Karina L

Oct 31, 2016

I learned from the lectures, but the lectures didn't prepare me to do the hmwk.

By Dean G

May 30, 2019

Many of the quiz's and projects had no prior material shown in the course work

By Melanie Z

Jun 27, 2020

Concepts often included assignments on material that had not yet been taught.

By Kanika G

Jun 28, 2020

Assignments were tough as compared to the video courses and swirl exercises.

By ROHIT N

May 10, 2020

videos are good but assignments are too difficult specially the swirl ones ,

By Harshit D

Dec 26, 2018

Good course but some flavor of plots especially ggplots would be very good