12 de feb. de 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.
19 de ago. de 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."
por Jean-Philippe M•
30 de jun. de 2019
Lack of practical cases. The two cases are not really interesting and lack of details.
por Ян Ш•
16 de jul. de 2018
The final task can be interpreted too widely. Do I need to pre-clean fuzzy data?
por Freddie K•
16 de abr. de 2017
Great course! Starting to put pieces from earlier courses together into a whole.
por Tim j•
5 de abr. de 2017
decent course, it is as long as you make it but start the final project early
por Eduardo S B•
27 de nov. de 2019
The course is nice. However, I think the last assignment is simply too much.
por Sanjay J•
6 de mar. de 2017
I think it is one of the easiest and most important courses in Data science.
por Huw H•
30 de oct. de 2017
An interesting course on a topic that often doesn't get a lot of attention.
por Thomas G•
30 de nov. de 2016
quite redondant with what was done before but very usefull and clear course
por Pieter v d V•
20 de may. de 2018
Nice to have seen once. Could have been condensed into two or three weeks.
por Herminio V•
13 de sep. de 2016
Very useful material, and great use for presenting data analysis results.
28 de ene. de 2019
Nice and the content of the course will help you a lot to work on
por Ashish S•
17 de may. de 2016
This would be very effective for my personal skill enhancement.
por Ankush K•
8 de ene. de 2018
It's a great course on a topic that is not addressed enough.
por Kennan Y•
13 de jun. de 2017
More details are needed about the R/knitr specific details
por Juan G•
27 de may. de 2020
Nice Course, it teaches R Markdown with RStudio and Knitr
por Angel M•
11 de mar. de 2021
Nice course about how present data and make reports.
por Peter E•
15 de sep. de 2018
One of Peng's lectures was a little quick and loose
31 de jul. de 2016
Good but not that deep. This should be in 2 weeks.
por Christopher G•
31 de ago. de 2016
Material was very interesting and I learned a lot
por Ray W•
2 de mar. de 2016
Good to know the principles here. Thanks.
por Ilia E•
26 de abr. de 2016
Week1 and Week2 should be swapped I guess.
por Fabien N•
13 de nov. de 2019
I really liked the assignments projects !
por Shishir S P•
23 de nov. de 2020
Enjoyed this course while studying it.
por Craig S•
8 de ene. de 2018
Some good insights into best practice!
por Alberto M T V•
4 de jun. de 2016
Great course. Learn new amazing stuff.