Bewertung und Feedback des Lernenden für Getting and Cleaning Data von Johns Hopkins University
Über den Kurs
Top-Bewertungen
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. 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.
926 - 950 von 1,273 Bewertungen für Getting and Cleaning Data
von Gianluca M
•16. Feb. 2017
Very good place to learn very important tools like dyplr and tidyr to access and clean from several formats
von Sharon A
•15. Apr. 2018
Allows you to deepen your knowledge in R how to get data. The final work was challenging, but possible :-)
von Blazej M
•12. Nov. 2017
Nice course. Far easier than R-Programming. Could be refreshed to match tidyverse workflow. Otherwise OK.
von Dimitris A
•30. Nov. 2018
The assignments are sometimes poorly explained. Other than that this is a solid and very useful course.
von Marcel A G
•8. Nov. 2018
It was a great course, however I had a bit of confusion when trying to understand the final assignment.
von Tri B
•1. Apr. 2022
This course is quite challenging but it provides me basic idea of tiny data which is very helpful.
von Jean-Philippe M
•20. Mai 2019
Great course but would benefit of more hands on exercises done by the teacher during the lectures.
von Martin L
•5. Juni 2019
Overall very good but the class does not teach enough to make the course work easy to figure out.
von Ryo I
•12. Feb. 2018
I want to learn how to make an efficient codebook and README.
Using Github is a bit hard for me.
von Hani M
•10. Aug. 2016
awesome course, will require a lot of reading and re-reading though - mainly for the R part.
von Holger B
•7. Feb. 2016
Content is good, but the delivery could be improved (email alerts, assessment feedback, etc)
von V K V
•18. Mai 2022
I would like to have notes or PPT related to this course it will be better if u share that
von Cruz C
•12. Aug. 2017
This hands on project requires to put in practice all R concepts from the previous courses.
von Peggy C
•22. Mai 2017
The course seems pretty simple but the content is condensed and really relevant. A must do.
von Rakesh
•10. Apr. 2016
The Final Project was excellent. Really satisfying upon completion. Course was good aswell.
von mark t
•24. Feb. 2017
This is a fantastic course. Well designed and incredibly useful as far as course content.
von Boitumelo T
•21. Juli 2021
The course is very informative and quite challenging for one starting the Data Science.
von LEYTON V H E
•10. Sep. 2020
las actividades evaluativa son mucho mas difíciles que lo que se presenta en los videos.
von Marco C
•27. Nov. 2017
Very good course. I would have liked to learn something about missing value treatment.
von Alina S
•17. Okt. 2017
First two weeks were not really valuable for me, sorry. But the las two actually were.
von Mauricio E F
•27. Aug. 2017
The videos are not so much related with the assigments but in overall is a good course
von Karan R
•14. Juli 2016
Sometimes get a bit boring, though the upcoming courses in the series are real-awesome
von Ben K
•25. Apr. 2016
A reasonable course. Could use a little more focus on dynamically creating a codebook.
von Наталия
•16. Dez. 2015
Very useful course. It's worth to add slides and to make sound of lectures bit louder.
von ERNESTO L C
•26. Sep. 2020
Me han gustado mas los dos anteriores de la especialidad pero este tambien està bien
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