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