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

7,886 Bewertungen
1,295 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.

1. Feb. 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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951 - 975 von 1,258 Bewertungen für Getting and Cleaning Data

von shekhar b

25. März 2018

It was a nice experience to learn the cleaning part with library dplyr and tidyr

von Ioannis S

18. März 2016

Maybe some more notes about the quizzes and the course project would be helpful.

von Ryan B

30. März 2018

Excellent, though I found the wording for the final coursework quite confusing.

von Thành N

21. Nov. 2021

This course is amazing. But I hope there is some exercises instead of quizzes.

von Fede N

14. Feb. 2016

Course is great! Many examples are given on how to get data in various format.

von Anush M

12. Dez. 2016

Kind of slow in the beginning but picked up to the end to give me a challenge

von Markus K

1. Apr. 2016

The course was quite good, but the last assignment was really much too vague.

von Praveen k

9. Sep. 2018

good course to start with cleaning data and how to get data from resources.

von Mike W

16. Jan. 2018

Good overview of using R (and dplyr) to clean data into "tidy" dataframes.

von Victor R

28. März 2016

Helpful, but more than half of the knowledge is in the swirl tutorial.

von arrowif

9. Feb. 2020

good course, if there are more text mining content, it will be better

von Charlie d T

24. Juni 2017

some shortcuts on the viodes makes the replication of work difficult

von Hiva P

26. Feb. 2018

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

von Joshua K

13. Nov. 2020

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

von JUYU K

9. Juni 2019

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

von naveen k

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