Opiniones y comentarios de aprendices correspondientes a Investigación reproducible por parte de Universidad Johns Hopkins
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Principales reseñas
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."
451 - 475 de 580 revisiones para Investigación reproducible
por Thej K
•12 de mar. de 2019
Nothing serious in this course! Rmd is a good tool to work with! and get familiar with!
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.
por Savitri
•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
por xiang
•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!
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