автор: BE
•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.
автор: DH
•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.
Рецензии: 861
автор: jagadeesh puvvula
•Feb 21, 2019
The course material is helpful enough to deploy skills in my research
автор: sirajsebhatu@gmail.com sebhatu
•Feb 18, 2019
thanks
автор: Jagat Ram Semwal
•Feb 17, 2019
Great learning! Thank you.
автор: THI A ALLGOOD
•Feb 17, 2019
Swirl practice in for Getting and Cleaning Data in this class is terrible. Most of my code working fine in R and R studio but Swirl would tell me "That's not the answer I'm looking for, try again" Then I type "skip()" Swirl will give me the exact answers that I just typed earlier.
автор: 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
автор: Hathairat Wittayapusagul
•Feb 09, 2019
A very Important course for working with R and data science in general.
автор: David Searl
•Feb 05, 2019
Better than R Programming. Still very hard, but worthwhile.
автор: 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.
автор: Parker Oakes
•Feb 05, 2019
Fantastic course!
автор: 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?