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Learner Reviews & Feedback for R Programming by Johns Hopkins University

4.5
stars
22,186 ratings

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

EJ

Jul 11, 2016

Excellent course! I already knew a lot about R - but this class helped me solidify what I already knew, taught me lots of new tricks, and now I have a certificate that says I know `something' about R!

WH

Feb 2, 2016

"R Programming" forces you to dive in deep.

These skills serve as a strong basis for the rest of the data science specialization.

Material is in depth, but presented clearly. Highly recommended!

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4176 - 4200 of 4,725 Reviews for R Programming

By Lu E

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Oct 14, 2017

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

By Yutao L

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Jun 19, 2017

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

By Shawn L

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Apr 12, 2016

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

By Russ L

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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

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May 20, 2017

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

By Ankush A

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Jun 18, 2018

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

By Agus K

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Aug 29, 2021

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

By Julie R

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May 12, 2020

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

By Madelon d B

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Feb 4, 2018

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

By Vaibhav S

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Apr 3, 2018

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

By K A S

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Sep 8, 2017

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

By Karina L

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Oct 31, 2016

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

By Stephen L

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Nov 27, 2022

Some submissions would not take or upload accurately. This resulting in errors

By Dean G

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May 30, 2019

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

By Melanie Z

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Jun 27, 2020

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

By Kanika G

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Jun 28, 2020

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

By ROHIT N

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May 10, 2020

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

By Harshit D

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Dec 26, 2018

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

By Matias V

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Jul 20, 2020

Programming assignment level nothing compare with swirl ir clases content

By Biplab

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Jun 25, 2017

Assignments are difficult and are not fully related to the course videos.

By R H (

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Feb 14, 2016

The exercises ae far more advanced than the lectures and study materials.

By Raúl G C T

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Sep 21, 2020

Muy desequilibrado. Las tareas y las clases están en diferentes niveles.

By Sampath R

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Feb 22, 2016

Bit tough and the professor's were rushing through the course in videos.

By VIKAS T

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Apr 23, 2018

It is good. but can be made better by adding more practice assignments.

By Soo Y K

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Apr 26, 2017

Quite difficult to digest for a beginner. Hope the examples are easier.