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

4.5
stars
8,062 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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1001 - 1025 of 1,311 Reviews for Getting and Cleaning Data

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.

By Marcelo G

Aug 14, 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 Joseph F

Dec 19, 2020

Great course! Now I think I know how to make a tidy data set!

By Yue Z

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.

By Brett W

Sep 15, 2017

I liked this course, particularly with the SWIRL support.

By Andres M

Feb 18, 2016

Some thing were very dificult and i needed more research

By Erik P

Sep 28, 2016

Great Course!

The Course Project was really challenging.

By Nitin P

Jan 29, 2016

I thoroughly enjoyed the course project. Overall, It

By Raul M

May 18, 2017

Very interesting and useful for improving knowledge

By Kelly M M

Jul 19, 2017

Great course. Went a little fast, but they all do.

By Björn L

Jul 8, 2019

Good course which covers quite a lot of material!

By 李俊宏

Sep 15, 2017

good! but I hope that Jeff can make more examples

By Laura B

May 18, 2017

Good but needed more info to complete assigments.

By Shivanand R K

Jun 21, 2016

Great and Excellent thoughts and course material.