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

7,922 ratings
1,309 reviews

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.


Oct 25, 2016

This course is really a challenging and compulsory for any one who wants to be a data scientist or working in any sort of data. It teaches you how to make very palatable data-set fro ma messy data.

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1251 - 1272 of 1,272 Reviews for Getting and Cleaning Data

By Greg Y

Apr 28, 2022

T​his course is terrible. Outdated videos (recorded in 2013!), impossible quiz questions, installing huge numbers of packages into R with no real support or feedback. Terrible waste of time.

By Minh V

Sep 7, 2020

The instructor did not devote his time to teaching. Slides were poorly prepared. Links are not working. Although many students have raised the issues, nothing has been done for years.

By Javier G

Mar 17, 2022

A​wfull outdated material. The packages mentioned do not work with the current RStudio version. The presentation sheets are protected (all pictures) instead of extractable text.

By Arif V V

May 2, 2017

Doesn't worth the effort. You learn the most by searching online tools each time you encounter a problem while solving a quiz problem or following the steps the instructor did.

By sotiris k

Oct 16, 2020

almost all the videos from week 1 are outdated making it impossible to follow the course,i will propably drop it,this is something that should be addressed by coursera.

By jayasree

Jul 16, 2020

The course material was not of much help. Felt lost while doing the assignments. The instructor keeps forgetting that this is a beginners level course

By Brian M

Oct 21, 2021

This entire program is an atrocious waste of time and resources. Get a book on Learning R from your local library and you'll be better off.

By R.Sangeetha

Aug 4, 2020

I may not able to submit the peer graded assignment. please help me to solve this. My progress is pending because of this assignment

By Alex T

Jul 20, 2017

all the practical things had to be learned by self learning instead of in the course. Peer graded assignment took for ever to pass

By Yashar A

May 5, 2016

The worst! I don't recommend you to take any course from this institute. It is just wasting time and money.

By Indraneel B

May 1, 2016

Description of assignment questions is not clear. The expected answer from the questions are confusing.

By Sreevalsan M

Jun 17, 2020

The peer grading looks weird. I got a comment on my original work "seemed to be not written by me".

By Tom

Jun 7, 2017

final project is terribly defined. Lecturers, Coursera, and Johns Hopkins should all be ashamed.

By Josh H

Oct 25, 2017

Very scattered and unfocused course. Sad to say that I learned very little from this one.

By abhishek s

Feb 25, 2016

This is just because of the unclarity of the final assignment.

By Ian H

Apr 12, 2018

Terrible! Go to Data Camp and save a bunch of money!!!!

By Ahmed H E

Aug 29, 2019

the learning way in this course was bad, to me

By BabaK K

Jan 9, 2019

It is more about R rather than data science

By Du Z

Aug 30, 2017

Poor teaching! Almost a waste of time.

By JaeHyun L

Nov 5, 2018

I don't think it's necessary lecture

By Ankit A

Dec 13, 2016

lectures are too fast.dropping out.

By Alexandros T

Aug 5, 2016

Poorly constracted course!