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

4.5
étoiles
7,923 évaluations
1,310 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

HS

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.

BE

25 oct. 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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351 - 375 sur 1,273 Avis pour Obtenir et trier des données

par 20e

16 nov. 2017

learning a lot! And my post in the forum got helpful reply very soon!

par ajay s

17 oct. 2017

Great course to get started on a career track to be a data scientist.

par Atman B

1 avr. 2019

This course is one important step towards becoming a Data Scientist.

par Ji H W

31 juil. 2018

Great lecture and help understanding concepts throughout the lecture

par Juan C L T

13 oct. 2017

great course, very useful and insightful; challenging final project.

par Dhrubajyoti M

16 mai 2017

Course material is good, assignment is better, mentors are the best!

par Осипов К Ю

21 janv. 2020

Perfect practical course! I got a lot of good practices and skills!

par Bojan B

14 oct. 2018

Great course with great materials. Easy to understand and to learn.

par Dr. B M

17 janv. 2022

Excellent course. This course is seriously exciting throughout !!!

par antonio q

19 déc. 2017

very clear, many examples and good exercise, assignments

thank you

par Emily K

9 nov. 2017

Should be before the 'R Programming' course - eases you in nicely.

par Jesus L S

24 oct. 2016

a must have course before applying any math model to our data! :-)

par Christophe K

10 févr. 2020

Very good course and first real challenge in this specialization.

par Wellintton P

12 mars 2018

great class for anyone learning the R language and data analytics

par Himanshu S

28 déc. 2017

Really good for folks, who wants to learn data manipulations in R

par Channaveer P

23 juil. 2017

Good one.... teaches you good skills to handle data and stress :)

par Shuo C

21 févr. 2018

This whole specialization is very informative! Highly recommend!

par Andreina D S

9 avr. 2019

Muy interesante, bastante información y todo muy bien explicado

par Gaalle A A P M P

22 janv. 2018

Thank you very much for letting me do this course. Learned alot

par duoruishi

29 oct. 2017

It's a useful course but the final assignment is real hard hah.

par Noah B

26 avr. 2016

Solid fundamentals gained from this course on data manipulation

par Denise O

16 mars 2016

Great use of R. It really helped solidify what I learned there.

par Ellen B

2 juil. 2018

Very nice course, and clear how to do it. I like it very much!

par Sanjay L

16 mai 2018

Good Course. It gives an idea on how to prepare tidy data set.

par Shashank S N K

31 janv. 2018

It is great to know how the cleaning process is performed in R