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Learner Reviews & Feedback for Getting and Cleaning Data by Johns Hopkins University

7,938 ratings

About the Course

Before you can work with data you have to get some. This course will cover the basic ways that data can be obtained. The course will cover obtaining data from the web, from APIs, from databases and from colleagues in various formats. It will also cover the basics of data cleaning and how to make data “tidy”. Tidy data dramatically speed downstream data analysis tasks. The course will also cover the components of a complete data set including raw data, processing instructions, codebooks, and processed data. The course will cover the basics needed for collecting, cleaning, and sharing data....

Top reviews


May 2, 2020

This course provides an introduction of some important concepts and tools on a very important aspect of data science: cleaning and organizing data before any analysis. A must for any data scientist.


Feb 1, 2016

Easy, mostly instructive Course. The Assignments and quizzes are quite good, and illustrates the lessons very well.

See the videos for general presentation, but use the energy on the excersizes.

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1151 - 1175 of 1,277 Reviews for Getting and Cleaning Data

By John G

Feb 23, 2017

Materials (video and written) only partially prepare the student for the quizzes and course projects.

By Minh L

Mar 19, 2018

Not as clear and straightforward as R Programming. But definitely a worthwhile course to look at.

By teena g

Feb 9, 2018

While the available content is good, I expected this course to take me to a more detailed level.

By Felix R

Jan 31, 2019

Ups and Downs.

Some presented functions are deprecated according to official documentation...

By Mohammadreza A

Dec 20, 2020

Course project was really vague and it took me 3 days to understand what is really wanted

By Brandon W

Aug 11, 2020

The lessons are good, but they do not prepare you for the tests or end-of-course project.

By Nathan H

Sep 17, 2018

The assignments required A LOT of help outside the information provided in the lectures.

By Jack H

Jun 1, 2020

Not as good as the other courses offered by this specialisation. In need of an update!!

By Himanshu R

Oct 26, 2017

Need more lectures on R packages and newly added packages like reshape, dplyr etc.

By Juan A S O

Apr 25, 2016

The evaluation part of the course needs some fixing. Otherwise, very good course!

By Samidha S

Sep 2, 2017

Course touches points very superficially. Need to have better reference material.

By Edward A S M

Nov 3, 2019

More examples of code running in parallel with the course work will be helpful.

By Derek R

Dec 15, 2017

This course really gets you working with R. The swirl exercises are great.


Mar 5, 2016

very nicely made course providing a good hands on with R language. Thanks!

By Taein E

Jul 26, 2021

​The letrue should be updated. Most of the URL address is not accessible

By Jean-Francois J

Feb 5, 2017

The course isn't that hard but there is a lot of content to assimilate.

By Doug E

Jul 27, 2016

Topics were OK but the focus on R and no other tools is frustrating

By Fabien N

Nov 8, 2019

The course was good but a bit too versatile for such hard quizzes.

By finbar k

Jun 26, 2018

Vague instructions in many of the quizes and the final assignment.

By Jatin N S

Mar 28, 2022

It would be better if for each function there were more examples.

By Lee C W

May 27, 2018

Average. Not useful even to tackle its own quizes and assignment.

By Denis S C

Nov 1, 2017

Explanation could be more elaborated like the earlier courses


Aug 6, 2016

Not well explained.... Previous module was better structured.

By Andrew T

Feb 1, 2018


Too much talking. Not enough integrated exercises.

By Ryan W

Oct 24, 2018

Mostly just R programming with data science in passing.