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.
See the videos for general presentation, but use the energy on the excersizes.
von Paymon H
•14. Apr. 2016
Toughest class in the offering. There really could've been 2 classes for cleaning data. I struggled with the lecturer's style (spoke too fast).
von nicolas r
•15. Sep. 2021
Some assessments are not well related with topics developed during classes. Then, it is difficult to understand what it is the goal to achieve.
von Daniel D
•3. Sep. 2019
The project description could have been a lot more descriptive for what we were supposed to do. Otherwise, I had a lot of fun with this section.
von Teodor I
•9. Jan. 2018
The non-clickable links in the pdf are a major problem. You need to figure it out. Create a link reference field for each video or something.
von Nishi G
•27. Apr. 2017
To get value from the class, I used other on-line materials to understand the topic. Thus, I spent about 20 hours/week on this class.
von Paul M
•15. Mai 2018
I felt I had to teach myself in this course. I feel I would have had the same learning experience if I had purchased a good R book.
von Richard C
•10. Mai 2018
A lot of things covered in this course in a short time. Probably should have been 8 weeks with more homework done step by step.
von Sergey K
•16. März 2021
great materials but unrelated to assignments. great real life experience "here is link. make it nice. deadline yesterday"
von Diana L G F
•18. Mai 2020
Sometimes I felt the were not evaluating my learning or ability to do things but my ability to read instructor's mind.
von Hassan D
•17. Apr. 2020
it gives us good information, but the information sometimes are incomplete or need to be updated( created in 2014!)
von Archana R
•31. Aug. 2016
good course. but some concepts are hard to understand for newbies. so felt it was a bit advanced in parts.
von Anupriya S
•3. Dez. 2021
course material was not clear and precise ..wish it was more explanatory to get our concepts more clear
von Sudarshan C
•1. März 2016
The materiel covered in the course was great, but more assignments instead of quizzes should be added.
von John G
•23. Feb. 2017
Materials (video and written) only partially prepare the student for the quizzes and course projects.
von Minh L
•19. März 2018
Not as clear and straightforward as R Programming. But definitely a worthwhile course to look at.
von Teena G
•9. Feb. 2018
While the available content is good, I expected this course to take me to a more detailed level.
von Felix R
•31. Jan. 2019
Ups and Downs.
Some presented functions are deprecated according to official documentation...
von Mohammadreza A
•20. Dez. 2020
Course project was really vague and it took me 3 days to understand what is really wanted
von Brandon W
•11. Aug. 2020
The lessons are good, but they do not prepare you for the tests or end-of-course project.
von Nathan H
•17. Sep. 2018
The assignments required A LOT of help outside the information provided in the lectures.
von Jack H
•1. Juni 2020
Not as good as the other courses offered by this specialisation. In need of an update!!
von Himanshu R
•26. Okt. 2017
Need more lectures on R packages and newly added packages like reshape, dplyr etc.
von Juan A S O
•25. Apr. 2016
The evaluation part of the course needs some fixing. Otherwise, very good course!
von Samidha S
•2. Sep. 2017
Course touches points very superficially. Need to have better reference material.
von Edward A S M
•3. Nov. 2019
More examples of code running in parallel with the course work will be helpful.