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.
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 Igor T•
Good course. Especially enjoyed final course project. It's really challenging and looks like a real‑life task.
By Mehrdad P•
Course nicely highlighted the importance of reproducible research and the use of markdown and knitr packages.
By Sawyer W•
Good course. Nice overview of concepts of reproduciblity and tools for doing so (sweave, knitr, RPubs)
By Jason C•
Very good, but maybe not at solid as those before it. Some reproducibility concepts felt a bit vague.
By Nicolás H•
Necesario para conocer, emplear buenas prácticas y darle validez científica a los trabajos realizados
By Asif K•
Very good content and pace. Got good hands on experience, right content and structure of assignments
By Brian F•
Although there is not a lot to this course I like that it covers an area that is often neglected.
By Jeremy J•
Some of the material seems pretty rote but it did introduce some new software and capabilities.
By Luiz E B J•
This is a good course tht open our minds and eyes to the relevance of Reproducible Research.
By Joseph F•
Now I appreciate what is the importance of a reproducible research! Awesome course overall!
By shivangi p•
It is a nicely structured course with introduction to R and gives a brief of data science.
By Francisco M R O•
It was very useful for me, now I know the importance of making data analysis reproducible.
By Korwin A•
Great class with excellent supporting material. A little chaotic, but very good overall.
By Amol M•
This course provides an easy way out to create reports which can be shared with others.
By Thej K•
Nothing serious in this course! Rmd is a good tool to work with! and get familiar with!
By Jean-Philippe M•
Lack of practical cases. The two cases are not really interesting and lack of details.
By Ян Ш•
The final task can be interpreted too widely. Do I need to pre-clean fuzzy data?
By Freddie K•
Great course! Starting to put pieces from earlier courses together into a whole.
By Tim j•
decent course, it is as long as you make it but start the final project early
By Eduardo S B•
The course is nice. However, I think the last assignment is simply too much.
By Sanjay J•
I think it is one of the easiest and most important courses in Data science.
By Huw H•
An interesting course on a topic that often doesn't get a lot of attention.
By Thomas G•
quite redondant with what was done before but very usefull and clear course
By Pieter v d V•
Nice to have seen once. Could have been condensed into two or three weeks.
By Herminio V•
Very useful material, and great use for presenting data analysis results.