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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.

DH

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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976 - 1000 of 1,306 Reviews for Getting and Cleaning Data

By ERNESTO L C

Sep 26, 2020

Me han gustado mas los dos anteriores de la especialidad pero este tambien està bien

By Yusong Z

May 24, 2020

Learn lots of useful skills, but the lectures are just too quick to fully understand

By Jigar P

Apr 9, 2018

Things were vague when assignment was given but that actually helped me learn better

By SHETU R

Mar 22, 2019

Very vaguely explained.Not much information in the slides about the topics covered.

By Marc S T

Jan 3, 2017

Great lecture, easy to follow with R studio. Assignment are moderately challenging.

By Lakshay S

Jul 3, 2019

Course Project was nice.It made me revise the concepts taught in the entire course

By Abdallh A

Dec 18, 2019

Great content. Would have been better with more resources in addition to videos.

By Shekhar B

Mar 25, 2018

It was a nice experience to learn the cleaning part with library dplyr and tidyr

By Ioannis S

Mar 18, 2016

Maybe some more notes about the quizzes and the course project would be helpful.

By Ryan B

Mar 30, 2018

Excellent, though I found the wording for the final coursework quite confusing.

By Thành N

Nov 21, 2021

This course is amazing. But I hope there is some exercises instead of quizzes.

By Fede N

Feb 14, 2016

Course is great! Many examples are given on how to get data in various format.

By Anush M

Dec 12, 2016

Kind of slow in the beginning but picked up to the end to give me a challenge

By Markus K

Apr 1, 2016

The course was quite good, but the last assignment was really much too vague.

By Praveen k

Sep 9, 2018

good course to start with cleaning data and how to get data from resources.

By Mike W

Jan 16, 2018

Good overview of using R (and dplyr) to clean data into "tidy" dataframes.

By Victor R

Mar 28, 2016

Helpful, but more than half of the knowledge is in the swirl tutorial.

By arrowif

Feb 9, 2020

good course, if there are more text mining content, it will be better

By Charlie d T

Jun 24, 2017

some shortcuts on the viodes makes the replication of work difficult

By Hiva P

Feb 26, 2018

for me the instruction for peer review exercises was not very clear

By Joshua K

Nov 13, 2020

The course project is too vague. Perhaps this is done on purpose.

By JUYU K

Jun 9, 2019

The project/assignment sometimes is not too clear on what to do.

By Naveen S

Aug 16, 2018

The course content must be more in-depth for auditing the course.

By Hoang H N

Jan 23, 2017

Provide a good introduction to getting data and processing them.

By Andrew W

Mar 19, 2018

Great course for diving deeper into the R programming language.