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.
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.
von Cristian A R B•
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
von Fabrice C•
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.
von Saad Q•
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.
von Kalle H•
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.
von Greg A•
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
von Bernardo J C N•
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.
von Julien O•
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.
von Julien N•
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
von Michel P N•
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!
von Michael C•
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.
von Adler F D C•
Great course. The only thing that needs improvement are the quizzes questions, as some were not updated and required me to consult the forums to solve.
von Connor G•
Pretty good for the most part. I just found Week 2 to be a bit redundant in comparison to Week 1 and the Course Project instructions to be a bit vague.
von Saumya T•
A lot of self learning is needed in this course. Be prepared to search for function documentations and stack exchange. Quite frustrating but worth it.
Decent course for learning how to navigate data sets in R. Not always obvious what the intent was, but it was good for learning how R operators think.
von Jun z•
The course is excellent. Only problem is, for me, it is very hard to understand the meaning of the final assignment. The description is too simple.
von Won-il C•
clearly this course gives important lesson. but i think lots of materials are overlaped with previous course. final assignment is really helpful.
von Mandy S•
The course begins to delve more into R Programming, which some is beyond my scope of knowledge. Maybe offer more Swirl before the assignment.
von Nicolaas K•
Good intro course to learning about ways of getting data into R. I think the final assignment's instructions could be a bit clearer though.
von Arnav D•
Could be more hands on! for example interactive tutorial where the instructor actually using the functions to demonstrate how things work.
von Johnnery A•
Los profesores debe explicar con mas detalle los temas. Pienso que hay una brecha importante entre los temas del curso y los proyectos
von Ricardo M•
Assigments description should have a clearer description. In some cases it's not absolutely clear what is intended to be delivered
von Karolina W•
Good course, learned a lot especially through the quizzes and the course project, but slides/presentations could be more engaging.
von Hernan S•
Fun and interesting. Won't remember all the ways to get and clean data, but it's good to review them so I know what's possible.
von C. T M•
it's a little rapid fire, but the exercises are excellent for applying the firehose of functions and concepts from the lecture