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

4.5
étoiles
7,995 évaluations

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.

DH

1 févr. 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 sur 1,296 Avis pour Obtenir et trier des données

par Federico G

20 août 2019

I think using python would have been a better option than R

par Prashant K

15 mars 2018

Videos can be bit more detailed (similar to the R program)

par Hung P

3 juin 2020

A little bit out-dated, but very useful. I learned a lot.

par Brett W

15 sept. 2017

I liked this course, particularly with the SWIRL support.

par Andres M

18 févr. 2016

Some thing were very dificult and i needed more research

par Erik P

28 sept. 2016

Great Course!

The Course Project was really challenging.

par Nitin P

29 janv. 2016

I thoroughly enjoyed the course project. Overall, It

par Raul M

18 mai 2017

Very interesting and useful for improving knowledge

par Kelly M M

19 juil. 2017

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

par Björn L

8 juil. 2019

Good course which covers quite a lot of material!

par 李俊宏

15 sept. 2017

good! but I hope that Jeff can make more examples

par Laura B

18 mai 2017

Good but needed more info to complete assigments.

par Shivanand R K

21 juin 2016

Great and Excellent thoughts and course material.

par Yunfan T

28 juil. 2017

the course lecture is not enough for assignment

par Marina V V m

20 déc. 2018

More swirl exercises! They are really helpful

par Manny R

10 août 2017

Time consuming and Challenging but very good.

par Patrick B

19 nov. 2019

Challenging assignment. Interesting material

par Gustavo P

26 sept. 2018

Good course, but se subject, not so mutch...

par Alex s

28 déc. 2017

The last project instructions were unclear.

par Mehul P

10 sept. 2017

Nice explanation on cleaning data activity.

par Niranjan

22 mai 2017

Great course materials!! Great effort!! :-)

par Marcos A V

15 mai 2017

I've learned much about reading data in R!

par Daren T

8 févr. 2016

was tougher than expected. i learnt a lot!

par Chong C F

7 sept. 2016

Well pack, but could have more practice.

par Andrew K

9 juin 2019

The class could have better uniformity.