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

4.5
stars
8,063 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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776 - 800 of 1,311 Reviews for Getting and Cleaning Data

By Rocio E R

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Sep 5, 2016

Excellent

By saroj r

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May 9, 2016

i like it

By Maria N G R

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Mar 7, 2016

amazing!!

By Amit S

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Dec 16, 2015

excellent

By AYAN B

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Sep 17, 2021

excelent

By Ratanaporn

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Sep 26, 2019

Goog Job

By Shahnawaz H

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Jul 16, 2018

Exellent

By Ola G

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Mar 30, 2018

Great!!!

By Tanuj

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Sep 28, 2017

Amazing!

By Artem S A

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Apr 14, 2016

Noiiice!

By CABIOCH N

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Apr 23, 2018

P

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r

f

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c

t

By Jawad A

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Jan 18, 2017

awesome

By Felix B

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Feb 27, 2016

Like it

By Sinan J H

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Feb 19, 2016

Perfect

By sirajsebhatu@gmail.com s

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Feb 18, 2019

thanks

By Lisa N A ( L

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Nov 24, 2018

greaat

By Alexander O

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Aug 17, 2018

All Ok

By Prashant J

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Mar 30, 2017

Thanks

By Sreenadhareddy G

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Oct 14, 2022

good

By Octavio S

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Sep 27, 2022

GOOD

By Wenwen X

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Oct 11, 2021

Good!

By suprotik s

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Nov 29, 2020

Great

By Toño G

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Nov 24, 2020

Great

By Anand V

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Jan 29, 2017

Great

By zhao m

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Nov 1, 2016

good.