Feb 12, 2016
My favorite course, at least it gives me an argument why scripted statistics is awesome and can be applied to a number of data related activities. Recycling chunks of code has proven useful to me.
Aug 19, 2020
A very important course that greatly improved my ability to communicate the findings of any sort of data analysis that I perform. This is a critical skill to acquire to "deliver the means."
By Thej K•
Mar 12, 2019
Nothing serious in this course! Rmd is a good tool to work with! and get familiar with!
By Jean-Philippe M•
Jun 30, 2019
Lack of practical cases. The two cases are not really interesting and lack of details.
By Ян Ш•
Jul 16, 2018
The final task can be interpreted too widely. Do I need to pre-clean fuzzy data?
By Freddie K•
Apr 16, 2017
Great course! Starting to put pieces from earlier courses together into a whole.
By Tim j•
Apr 5, 2017
decent course, it is as long as you make it but start the final project early
By Eduardo S B•
Nov 27, 2019
The course is nice. However, I think the last assignment is simply too much.
By Sanjay J•
Mar 6, 2017
I think it is one of the easiest and most important courses in Data science.
By Huw H•
Oct 30, 2017
An interesting course on a topic that often doesn't get a lot of attention.
By Thomas G•
Nov 30, 2016
quite redondant with what was done before but very usefull and clear course
By Pieter v d V•
May 20, 2018
Nice to have seen once. Could have been condensed into two or three weeks.
By Herminio V•
Sep 13, 2016
Very useful material, and great use for presenting data analysis results.
Jan 28, 2019
Nice and the content of the course will help you a lot to work on
By Ashish S•
May 17, 2016
This would be very effective for my personal skill enhancement.
By Ankush K•
Jan 8, 2018
It's a great course on a topic that is not addressed enough.
By Kennan Y•
Jun 13, 2017
More details are needed about the R/knitr specific details
By Juan G•
May 27, 2020
Nice Course, it teaches R Markdown with RStudio and Knitr
By Angel M•
Mar 11, 2021
Nice course about how present data and make reports.
By Peter E•
Sep 15, 2018
One of Peng's lectures was a little quick and loose
Jul 31, 2016
Good but not that deep. This should be in 2 weeks.
By Christopher G•
Aug 31, 2016
Material was very interesting and I learned a lot
By Ray W•
Mar 2, 2016
Good to know the principles here. Thanks.
By Ilia E•
Apr 26, 2016
Week1 and Week2 should be swapped I guess.
By Fabien N•
Nov 13, 2019
I really liked the assignments projects !
By Shishir S P•
Nov 23, 2020
Enjoyed this course while studying it.
By Craig S•
Jan 8, 2018
Some good insights into best practice!