AA
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.
RR
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 Rose G
•31 de mar. de 2020
Good introduction to Rpubs, and important remainder of the importance of reproducible research for scientists, but it may be a bit too much to focus an entire course only on that.
por Michał M
•28 de ene. de 2016
Some of the videos has low quality, which make them harder to understand for non native speakers. In my opinion there is also too less tips for second assessment.
por Oña G L E
•23 de ago. de 2018
The videos doesn't listen well, and some activities are not interesting, you could teach swave and some of latex instead of repeat some parts of other courses.
por BAUYRJAN J
•1 de sep. de 2017
This course has contents that are repeated multiple times throughout the course. I think entire course could have been covered in a week or at most two weeks.
por Joseph C
•8 de feb. de 2016
The first week assignment should really be the second week assignment since all the lessons about knitr would have made the assignment much easier.
por Andreas S J
•4 de oct. de 2017
Important and interesting stuff - but lots of it is repeated too much, which make it seem like 4 weeks is too much for the material.
por Fabiano S
•7 de mar. de 2016
It's, for sure, a necessary content but don't feel like something that deserves to be on this specialization. Content is good.
por James O
•31 de oct. de 2016
Interesting material, but wasn't necessarily of the same depth of knowledge like previous courses in the series
por Fabiola J C
•9 de ene. de 2021
I experience that the course does not cover all the necessary tools to tackle the final assignment with ease.
por Diego T B
•17 de nov. de 2017
This topic is very interesting. But I think that was very large and without as practical things in videos.
por Robert K
•12 de jun. de 2017
This information is useful, but it felt like this could have been condensed in to a couple of weeks.
por Raushon K
•17 de feb. de 2016
Week1 can be explained better. First assignment i was clueleass on Kintr and how to generate report.
por Nathan M
•11 de jun. de 2016
Why is this its own class? Seems like it could have been covered in a week somewhere else.
por Jingqin L
•28 de abr. de 2021
Cover some essential issue in reproducible research but don't touch much on some details.
por Rohit S A
•20 de oct. de 2016
Not a well structured course. Also, not very motivating to go through this one.
por Fernando M
•4 de sep. de 2017
Don´t like this topics but I understand that they are necessary. Course is ok
por Corbin C
•23 de abr. de 2018
Good material, but some of it is out of date (like deprecated functions).
por Shuwen Y
•9 de jul. de 2016
content is not enough for one class. should be only one to two videos.
por Martin G
•3 de ago. de 2019
Interesting content. However, it can get somewhat repetitive.
por Raul M
•16 de ene. de 2019
Many times the course goes over the same topic over and over.
por Manuel E
•29 de abr. de 2019
Good - Makes you assimilate the concept and work on it
por Francesca A
•23 de oct. de 2016
That's the best course of the entire specialisation.
por Steph L
•26 de ene. de 2021
The guidelines for project 2 need to be improved.
por Marcela Q
•26 de nov. de 2019
A little repetitive and basic but useful!!!!
por Lakshay S
•13 de jul. de 2019
Pathetic It was . Not at all Interesting !!