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

4.5
stars
8,047 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

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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951 - 975 of 1,306 Reviews for Getting and Cleaning Data

By Gianluca M

Feb 16, 2017

Very good place to learn very important tools like dyplr and tidyr to access and clean from several formats

By Sharon A

Apr 15, 2018

Allows you to deepen your knowledge in R how to get data. The final work was challenging, but possible :-)

By Blazej M

Nov 12, 2017

Nice course. Far easier than R-Programming. Could be refreshed to match tidyverse workflow. Otherwise OK.

By Dimitris A

Nov 30, 2018

The assignments are sometimes poorly explained. Other than that this is a solid and very useful course.

By Marcel A G

Nov 8, 2018

It was a great course, however I had a bit of confusion when trying to understand the final assignment.

By Jane P N

Apr 30, 2023

The course did deliver what I was expecting! Thank you very much to the organizers and the instructor!

By Tri B

Apr 1, 2022

This course is quite challenging but it provides me basic idea of tiny data which is very helpful.

By Jean-Philippe M

May 20, 2019

Great course but would benefit of more hands on exercises done by the teacher during the lectures.

By Martin L

Jun 5, 2019

Overall very good but the class does not teach enough to make the course work easy to figure out.

By Ryo I

Feb 12, 2018

I want to learn how to make an efficient codebook and README.

Using Github is a bit hard for me.

By Hani M

Aug 10, 2016

awesome course, will require a lot of reading and re-reading though - mainly for the R part.

By Holger B

Feb 7, 2016

Content is good, but the delivery could be improved (email alerts, assessment feedback, etc)

By V K V

May 18, 2022

I would like to have notes or PPT related to this course it will be better if u share that

By Cruz C

Aug 12, 2017

This hands on project requires to put in practice all R concepts from the previous courses.

By Peggy C

May 22, 2017

The course seems pretty simple but the content is condensed and really relevant. A must do.

By Rakesh

Apr 10, 2016

The Final Project was excellent. Really satisfying upon completion. Course was good aswell.

By mark t

Feb 24, 2017

This is a fantastic course. Well designed and incredibly useful as far as course content.

By Boitumelo T

Jul 21, 2021

The course is very informative and quite challenging for one starting the Data Science.

By LEYTON V H E

Sep 10, 2020

las actividades evaluativa son mucho mas difíciles que lo que se presenta en los videos.

By Marco C

Nov 27, 2017

Very good course. I would have liked to learn something about missing value treatment.

By Alina S

Oct 17, 2017

First two weeks were not really valuable for me, sorry. But the las two actually were.

By Mauricio E F

Aug 27, 2017

The videos are not so much related with the assigments but in overall is a good course

By Karan R

Jul 14, 2016

Sometimes get a bit boring, though the upcoming courses in the series are real-awesome

By Ben K

Apr 25, 2016

A reasonable course. Could use a little more focus on dynamically creating a codebook.

By Nataliya

Dec 16, 2015

Very useful course. It's worth to add slides and to make sound of lectures bit louder.