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.
par aparna T•
20 nov. 2017
Very interesting and enjoyed doing the Assignment.
but the assignment instructions are not clear.A lot of time was wasted trying to figure out what data is what are what are we interested in.
par Ash G•
8 mai 2020
The course was very helpful & guided but since I don't have a strong coding background I felt myself getting lost often. It would be really helpful if there is some guidance in assignments.
par Joonas S•
19 oct. 2016
The course material is ok - it would really need a book like the other courses have. It is much easier to check something from a book than slides/video when doing the assignments etc. .
15 août 2018
The Swirl practice part is great! But there is a big gap between what we learned from video/swirl and the course project! The project is much harder than what I learn from the course.
par Robert D•
9 nov. 2016
Good coverage of topics. A bit scattered in early slides and assignments were often inconsistent with coursework. Overall a great introduction of what to expect when gathering data.
par Nicolas G J•
24 mai 2021
Sometimes the instructions are not clear enough, and it was necessary to ask in the forums. Sometimes it feels "tricky" and makes harder to find the solution even in simple problems.
par Ramon R•
9 juil. 2017
I found the last project insufficiently explained. I was struggling in understanding what the task is. A bit more clear task description (as in Course 2) would be really appreciated.
par John S•
5 mai 2016
Actually, very interesting and helpful class. The one area around more complex structures (API, XML) warrants more attention, since I assume those are more dominant access methods.
par He S K•
24 juin 2016
good introduction and practice being given on handling data cleaning. Lesser thought on getting data merely introduction. Still good to give a try if you are new in data analysis.
par Маношин А А•
21 avr. 2020
The course is good, but I have met some inconveniences with week 4 tasks because of bugs in swirl ( they can be met when you in not USA timzone) and not-so-clear course project.
par Sanil S•
1 févr. 2018
learnt a lot of real world applications - fetching data from databases, apis, internet etc and basics of how to tidy data. Addditionally, I am more confident of my R skills now.
par Rodrigo R•
3 mars 2016
Very good content, but could have more content added.. I had much more free time with this one than what I did with the R Programming. Would be better to have more swirl lessons
par Madanage K P P•
15 oct. 2020
The content was good but to do the assignments you have to search through various other sources. No any assignment can be done by just by going through the lecture materials
par Alexsander L B•
30 mai 2018
I believe that is possible to improve the presentation, because are missing dinamic in the course and it didn't motivate me to explore more information about it and pratice.
par Cristian A R B•
5 août 2020
Very practical. But I felt that it could be more concrete in terms of content taught and evaluated. In a way it was like they just read you a manual. However worth it
par Fabrice C•
31 mars 2016
very well organized, good teacher, good projects. PCA and SVD are pretty hard to understand for who is not in the field (statistics), but no evaluation on this topic.
par Saad Q•
18 avr. 2016
Ok course, level of difficulty on assignments should be re-assessed and converted to kind of conceptual assignments and tasks than repeatable code in each offering.
par Kalle H•
20 nov. 2017
Some very good material, however some of the instructions such as the final assessment is very unclear and course work in generall could be better. Good lectures.
par Greg A•
22 févr. 2018
It would have been nice to have a few more examples to follow. Perhaps I would have had an easier time if I made effective use of the course materials on github
par Bernardo N•
16 juin 2016
Videos are very good and the content was well explained. However, in my opinion, at the last couple of weeks the content felt a bit too fast and lacked depth.
par Julien O•
27 août 2020
A bit challenging and requires the student to research the web themselves for some answers but the techniques learned there will come in handy in the future.
par Julien N•
23 juil. 2018
Like other course from JHU, I really appreciated this course pace and the fact that projects requiring more than just applying what is explained in the video
par Michel P N•
20 févr. 2017
I took this course a couple years back. It's much improved with lectures and exercises around specific functions to help with cleaning up data. Thank you!
par Michael C•
10 janv. 2017
A pretty good course on cleaning up and preparing tidy data. However, the material for a couple of weeks was quite brief and could have been more involved.