HS
May 2, 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
Feb 1, 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.
By Jesus M S
•Apr 22, 2020
Clearly structured course, but as with previous courses of the Data Science program, there is a gap regarding coding skills which the course does not till for those of us lacking a programming background.
By Juan P L R
•Aug 10, 2020
Most of the course was interesting, well-designed and useful. Some lectures and links have to be upgraded. This is a really good course if you want to know what possibilities you have to get data with R.
By Sean F
•Nov 1, 2018
Good course, instructors are very knowledgeable. Would be good to add more practical lessons and extend the course. As they say, repetition is the law of learning. Thank you for helping me get this far!
By Tony W
•May 5, 2016
The assignment was excellent but challenging, instruction wasn't too clear or obvious though, struggled for a while (good kind of struggle)
The lecture was okay but the Swirl part is always fantastic.
By Carlos G W
•Aug 7, 2020
I think that the level of difficulty of the exercises and final assignment does not match with the depth of the lectures; without a textbook, I feel lost, don't have a reference, and have to guess.
By NEVIN T K
•May 19, 2020
The 'cleaning data' part was explained pretty well... I do feel he could've gone into more detail for the 'gathering data' part- especially the webscraping part. Other than that, great course!
By aparna T
•Nov 20, 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.
By Ash G
•May 8, 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.
By Joonas S
•Oct 19, 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. .
By Xiaoyan
•Aug 15, 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.
By Robert D
•Nov 9, 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.
By Nicolas G J
•May 24, 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.
By Ramon R
•Jul 9, 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.
By John S
•May 5, 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.
By He S K
•Jun 24, 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.
By Маношин А А
•Apr 21, 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.
By Sanil S
•Feb 1, 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.
By Rodrigo R
•Mar 3, 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
By Madanage K P P
•Oct 15, 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
By Alexsander L B
•May 30, 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.
By Cristian A R B
•Aug 5, 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
By Fabrice C
•Mar 31, 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.
By Saad Q
•Apr 18, 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.
By Kalle H
•Nov 20, 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.
By Greg A
•Feb 22, 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