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

7,939 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


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.


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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976 - 1000 sur 1,278 Avis pour Obtenir et trier des données

par Hiva P

26 févr. 2018

for me the instruction for peer review exercises was not very clear

par Joshua K

13 nov. 2020

The course project is too vague. Perhaps this is done on purpose.

par JUYU K

9 juin 2019

The project/assignment sometimes is not too clear on what to do.

par Naveen S

16 août 2018

The course content must be more in-depth for auditing the course.

par Hoang H N

23 janv. 2017

Provide a good introduction to getting data and processing them.

par Andrew W

19 mars 2018

Great course for diving deeper into the R programming language.

par marcelo G

15 août 2016

Very well elaborated. Very useful and real exercises and tools.

par Ashish S

17 mai 2016

This would be very effective for my personal skill enhancement.

par 조혜령

10 août 2019

기본적인 내용을 다루어 주어서 좋았습니다.

조금 속도가 빠르긴 했지만, 좋은 강의였다고 생각합니다.


par Joseph F

19 déc. 2020

Great course! Now I think I know how to make a tidy data set!

par Yue Z

10 févr. 2018

Great course but do not offer sufficient practical exercises.

par Ankush K

31 mai 2017

Not the most exciting course, but definitely worth it/needed.

par Jayce L

10 oct. 2016

in my opinion, with more details, we could learn more about R

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 G

18 mai 2017

Good but needed more info to complete assigments.