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Avis et commentaires pour d'étudiants pour Obtenir et trier des données par Université Johns-Hopkins

7,929 évaluations
1,311 avis

À propos du cours

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....

Meilleurs avis


2 mai 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.


1 févr. 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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326 - 350 sur 1,274 Avis pour Obtenir et trier des données

par 杜冈桃

7 sept. 2017

Coursera is very practical and I am ready to continue to study more courses.

par Catharine

16 mars 2017

Very helpful and practical course to learn about data sourcing and cleaning.

par Juan C P A

28 mars 2016

Recommended for all who want to manage their data and not be handled by them

par Jeff D

10 oct. 2020

This a great course especially for a beginner like me. Thank you very much.

par Eswara K

4 juin 2020

Great course. Only nitpick is that the volume of data to work with is huge.

par Mevluet P

26 mai 2020

It is a very good course. It is my reference page and course about using R.

par Michael D

22 mai 2020

Provides great foundational knowledge of building usable data objects in R.

par Jesson P

30 sept. 2018

This course taught me the importance of tidying data suitable for analysis.

par Leonard P

30 nov. 2020

Exceptional course with a steep learning curve, But it's totally worth it.

par Mahmoud E

1 oct. 2018

This course gives a great insight on how capable and versatile R language.

par Jamie M

6 juil. 2018

Excellent once again. I'm running out of superlatives. Great job Coursera.


10 sept. 2017

Very good for anyone wanting to get into the field of Data Science using R

par harshdeep k

29 août 2016

Learning how to create a tidy Data set was one of the perks in this course

par Arturo P

10 déc. 2020

Excellent course, really good for managing messy data. Fully recommended!

par Jean P L

26 janv. 2016

It's awesome. Very difficult, challenging, and lots of stuff to be learnt

par Filip Z

11 sept. 2020

Great course. I learned what i wanted to learn in a very convenient way.

par 陈颐欢

23 avr. 2018

Very useful class for someone like me who be a beginner of data science

par Keith L

2 juin 2017

I learned a lot from this course and can see its practical applications.

par Diana S

11 févr. 2016

Thank you son much!!!!

I really like the course.

It help me in my job =)

par Bushra W

3 mai 2019

Coursera gives me the flexibility I need to take courses on my own time

par Hathairat W

9 févr. 2019

A very Important course for working with R and data science in general.

par Omkar P

10 juin 2016

Great module with hands on practicals !!!!! help to build confidence...

par 王婷婷

21 mars 2016

good, i need more pratice by myself and i haven't read the book yet :-)

par David E C G

16 sept. 2020

Great, the final assignment is challenging and I learn a lot with this

par Juan C I S

26 juil. 2020

Great choice if you want to learn to manage and download datasets in R