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

4.6
stars
7,586 ratings
1,223 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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901 - 925 of 1,183 Reviews for Getting and Cleaning Data

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 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 Charles-Antoine 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 k

Aug 16, 2018

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

By Hai 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.

By marcelo G

Aug 15, 2016

Very well elaborated. Very useful and real exercises and tools.

By Ashish S

May 17, 2016

This would be very effective for my personal skill enhancement.

By 조혜령

Aug 10, 2019

기본적인 내용을 다루어 주어서 좋았습니다.

조금 속도가 빠르긴 했지만, 좋은 강의였다고 생각합니다.

수고하셨습니다.

By 玥 张

Feb 10, 2018

Great course but do not offer sufficient practical exercises.

By Ankush K

May 31, 2017

Not the most exciting course, but definitely worth it/needed.

By Jayce L

Oct 10, 2016

in my opinion, with more details, we could learn more about R

By Federico G

Aug 20, 2019

I think using python would have been a better option than R

By Prashant K

Mar 15, 2018

Videos can be bit more detailed (similar to the R program)

By Hung P

Jun 3, 2020

A little bit out-dated, but very useful. I learned a lot.