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

4.6
stars
7,816 ratings
1,277 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

HS
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.

BE
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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1126 - 1150 of 1,239 Reviews for Getting and Cleaning Data

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.

By Ish G

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 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

By JP B

Aug 6, 2016

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

By Andrew T

Feb 1, 2018

Useful.

Too much talking. Not enough integrated exercises.

By Ryan W

Oct 24, 2018

Mostly just R programming with data science in passing.

By Thomas G

Aug 19, 2016

Very usefull but can be technical and discouraging

By BIBHUTI B P

May 30, 2017

needs little more real time scenario examples..

By Pedro V Q d C

Nov 9, 2016

Course is too simple, should be more extensive.

By Madhubalini V

Oct 6, 2020

practices is much needed to complete projects.

By Dr. M H A J

Jul 2, 2018

Amazing, Kindly update the versions always.

By Ahmed A

Jun 14, 2020

I THINK THE COURSE NEED TO BE UBDATED

By Ivo G G V

Jun 20, 2019

It needs an update on some libraries.

By Mario P

Dec 9, 2017

Useful, but a little boring.