AP
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 Thiago M
•Aug 12, 2019
course material and projects help a lot in learning and tips on how to better document research and projects
By Gregorio A A P
•Aug 26, 2017
Excellent, but I would be grateful if you could translate all your courses of absolute quality into Spanish.
By César A C
•Jun 5, 2017
I really needed this course to fully understand how to work with R from the raw data to publication. Nice ¡¡
By Jared P
•Apr 10, 2016
Loved it. The concepts around reproducible research are important. Should be mandatory teaching in school.
By Suryadipta D
•Apr 12, 2018
well organized and easy-to-understand subject material, shapes up really well towards the specialization.
By Marco C
•Feb 25, 2018
Very useful course to build a scientific way of thinking, and publishing my work has been very engaging.
By santiago R
•Nov 29, 2017
Very nice course. R Markdown make everything looks better and understandable for a reproducible research.
By Yasel G
•Aug 4, 2016
This course was very important for my work. I learned so much and I want to say thanks to the professors.
By Shreyas G M
•Apr 30, 2016
Excellently designed course! I loved how the course content and assignments were designed and delivered.
By Hsin C C
•Oct 6, 2021
Good practice from previous sessions to summarize GGplots accordingly and share same practices as well.
By sneha
•Apr 16, 2018
the best course I have ever come across which gives us an idea about knitter and markdown packages in r
By Mauricio V
•Dec 12, 2016
excellent course, specially all the topics related to markdown, rpubs. A must for each data scientist.
By Timothy M S J
•Nov 29, 2016
Great class. It helps frame all that you will do as a Data Scientist. Building blocks. Peng nails it.
By Edwin L A
•Aug 13, 2017
Excelente, sigo en el proceso muy animado y trabajando duro, ha sido una experiencia muy importante.
By Hampton, B G
•Aug 1, 2021
I enjoyed this course as it had practical applications to my work as well as my personal interests.
By Jacques d P
•Apr 11, 2018
How to implement reproducible research is an essential skill for all data scientists. Good course.
By Mihai C
•Mar 8, 2016
Very pragmatic course, tremendously useful not just for research but also for commercial projects.
By Mathew K
•Jan 13, 2020
A pretty good coverage on the need for reproducibility and the best practices to make it happen.
By Christoph G
•Jul 9, 2016
This was really valuable in terms of how to document correctly and produce reproducable reports.
By Bruno R S
•Jan 21, 2019
A great introduction to basics of scientific method concerning statistics and result reporting.
By Hongzhi Z
•Nov 1, 2017
Every week contain assignment about making big projects with less video to watch. That's great。
By Md. I H
•Jul 4, 2017
This course provides insights about how to reproduce the research findings in efficient manner.
By Naren R B
•Apr 8, 2019
Would definitey recommend this, it covers an important aspect of research for Data Scientists.
By Carlos A C Z
•Aug 21, 2017
Excellent course. High recommended for people how need make research than must be reproducible
By Yanal K
•May 28, 2016
Wonderful course on research principles and the creation of reproducible R reports with knitr.