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Bewertung und Feedback des Lernenden für Getting and Cleaning Data von Johns Hopkins University

7,929 Bewertungen
1,311 Bewertungen

Über den Kurs

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....



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. Okt. 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 von 1,274 Bewertungen für Getting and Cleaning Data

von JUYU K

9. Juni 2019

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

von Naveen S

16. Aug. 2018

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

von Hoang H N

23. Jan. 2017

Provide a good introduction to getting data and processing them.

von Andrew W

19. März 2018

Great course for diving deeper into the R programming language.

von marcelo G

15. Aug. 2016

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

von Ashish S

17. Mai 2016

This would be very effective for my personal skill enhancement.

von 조혜령

10. Aug. 2019

기본적인 내용을 다루어 주어서 좋았습니다.

조금 속도가 빠르긴 했지만, 좋은 강의였다고 생각합니다.


von Joseph F

19. Dez. 2020

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

von Yue Z

10. Feb. 2018

Great course but do not offer sufficient practical exercises.

von Ankush K

31. Mai 2017

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

von Jayce L

10. Okt. 2016

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

von Federico G

20. Aug. 2019

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

von Prashant K

15. März 2018

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

von Hung P

3. Juni 2020

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

von Brett W

15. Sep. 2017

I liked this course, particularly with the SWIRL support.

von Andres M

18. Feb. 2016

Some thing were very dificult and i needed more research

von Erik P

28. Sep. 2016

Great Course!

The Course Project was really challenging.

von Nitin P

29. Jan. 2016

I thoroughly enjoyed the course project. Overall, It

von Raul M

18. Mai 2017

Very interesting and useful for improving knowledge

von Kelly M M

19. Juli 2017

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

von Björn L

8. Juli 2019

Good course which covers quite a lot of material!

von 李俊宏

15. Sep. 2017

good! but I hope that Jeff can make more examples

von Laura B G

18. Mai 2017

Good but needed more info to complete assigments.

von Shivanand R K

21. Juni 2016

Great and Excellent thoughts and course material.

von Yunfan T

28. Juli 2017

the course lecture is not enough for assignment