AA
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.
RR
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.
By Savitri
•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
By xiang
•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!