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

4.6
stars
7,292 ratings
1,165 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 03, 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 02, 2016

Easy, mostly instructive Course. The Assignments and quizzes are quite good, and illustrates the lessons very well.\n\nSee the videos for general presentation, but use the energy on the excersizes.

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251 - 275 of 1,128 Reviews for Getting and Cleaning Data

By Wang J

May 02, 2016

Great practice for R programming and the MySQL part is extremely helpful for my work.

By Leonardo A

Aug 08, 2019

This is the best course so far. Very challenging project at the end. I learned a lot

By Jorge A B J

Jul 25, 2019

Very nice course! Would defensively recommend to anyone seeking this specialization!

By Puja G

Feb 07, 2018

Very useful to get hands on experience in data science to solve real world problems!

By Abay J

Jan 21, 2019

Love quizzes and a course project. Working on them develops you as a data scientist

By Ajendra S

Aug 29, 2018

I really liked this course. This course helped me to understand the data wrangling.

By Tiago P F

Jan 03, 2018

Excellent course, with a very important focus on documentation and code versioning.

By jutzhang

Jun 27, 2016

建议更新课程中所涉及函数的使用方法

Please update the using methods of some functions in this lecture.

By Andaru

Feb 13, 2016

90% of data science is cleaning, this really gets people accepting that key concept

By Vitalii S

Jul 20, 2017

This course gave me an insights regarding data cleaning. Very grateful, thank you!

By Karthic C

Jul 18, 2017

Well put together course. Happy and eager to finish the rest of the specialization

By Thor R

Jan 18, 2019

Useful, the course is as much an introduction to R- part 2 as about cleaning data

By Raunak S

Oct 05, 2018

excellent course to get started with to learn the basic concepts of data tidying.

By Sunder R V

Aug 28, 2017

Enjoyed the course and learnt quite a few things in my quest for "Data Analytics"

By Roberto D

Jun 21, 2017

Very useful for deciding best methods pulling data and consistently massage data.

By Jairo A V G

Jun 25, 2020

an excellent course that allowed me to expand my knowledge and learn new things.

By Premkumar S

Sep 28, 2018

Excellent course with some great exercises put together that are very practical.

By xiang

Mar 31, 2016

Nice one. I would like to have some more information like getting data from API

By Gustavo d P P

Sep 13, 2019

Muito bom!

Aprendi a usar dplyr e agora minha vida se tornou muito mais fácil!!!

By Yi-Yang L

Mar 08, 2017

Good! Actually I think this course is useful no matter what other people think.

By Bruno

Jun 04, 2016

It's a good course, with right amount of exercises and well explained classes.

By Prohnițchi V

Oct 02, 2017

Great course. Have learned a lot and discovered powerful tools and approaches.

By Matthew

Feb 22, 2017

Solid course overall which covers in a high level many data gathering methods.

By Bill K

Feb 10, 2016

Great course with good lectures and labs. Don't forget the swirl assignments!

By Diego A Q

Jun 03, 2019

Very useful for every day data arrangements and data downloads from Internet.