Oct 26, 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.
Feb 02, 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.
By Nimalka Weerasuriya•
Feb 13, 2019
Useful general course on tidying data and learning to import into R from various sources. Doesn't get into sequencing data import, but looks at other common ones
By Hathairat Wittayapusagul•
Feb 09, 2019
A very Important course for working with R and data science in general.
By David Searl•
Feb 05, 2019
Better than R Programming. Still very hard, but worthwhile.
By Ehab H Abdelhamid•
Feb 05, 2019
This course was too hard for me compared to the first two in the program. Not sure whether it is because of my limited background in the subject area, or because of the abrupt shift in level from course 2 to 3.
By Parker Oakes•
Feb 05, 2019
By Anthony J Maddalone•
Feb 01, 2019
There is a huge disconnect with the material and the HAR dataset exercise. I would suggest that there is some help with smaller exercises to help explain how to complete it. Yes, I know you're supposed to do research to help figure out problems, and I have. As a matter of fact, I have taken other courses on data wrangling to be able to figure out this problem. Merging two datasets makes this problem very confusing. Why can't you help guide students through a similar problem, instead of throwing to the fire?
By Felix Ruecker•
Jan 31, 2019
Ups and Downs.
Some presented functions are deprecated according to official documentation...
By Aman Ullah•
Jan 30, 2019
Just Amazing, one should take this course for betterment
By Jigar Panchal•
Jan 29, 2019
this course is a hands of this specialization in R.
this hands use to play with a raw and tidy data in R.
By Kristopher Barrett•
Jan 28, 2019
More challenging than the "R Programming" course. The instructions for the final project were a little vague, but I think maybe this was intentional to promote discussion. Definitely give yourself plenty of time to complete the final project if you take this course. The principles of a tidy data set might seem like common sense, but in practice it's more challenging than you might think. I highly recommend taking this course even if you think you know what a tidy data set is.