Feb 13, 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.
Jun 23, 2017
Of course, I liked this course. There was even an extra non-graded assignment. Plus two graded assignments. Quality instruction videos and lots of practice. Everything a learner needs.
von Glenn W•
Mar 04, 2019
Favorite course so far. Really enjoyed working on the projects. They were very helpful in helping to reinforce the material.
von Amanyiraho R•
Jan 13, 2020
Very interesting and tackles a very important issue that Data scientists always miss-out, reproducibility of your project
von Azat G•
Jan 24, 2019
Amazing course, it introduced the concepts of reproducibility which is used to provide scientific fairness, transparency.
von Anusha V•
Jan 03, 2019
Excellent Course - particular useful for anyone doing research and performing any kind of analysis on the observed data.
von Adrielle S•
Apr 03, 2016
Muito completo. Inglês claro. Muitos exemplos. Chega a ser repetitivo em algumas aulas mas, antes sobrar do que faltar!
von Krishna B•
May 30, 2017
towards the end of week 1 lectures we can see all the parts of this specialization coming together in a very nice way!
von Prem S•
Aug 02, 2017
Nice course,especially it gives you a general idea and foundation on r markdown files if you already know R studio.
von Federico A V R•
Jul 27, 2017
This topic is relevant to the field, yet few institutions offer courses on it. Great knowledge, highly recommended.
von Lee Y L R•
Feb 02, 2018
Clear sharing of the importance of having proper documentation of data analysis process to enable reproducibility.
von Ann B•
Mar 14, 2017
I think this topic is sometimes overlooked, but very necessary. This course did a good job of covering the topic.
von Emily S•
May 18, 2016
I think this is an essential course that more people should take. Reproducibility is a huge issue in many fields.
von Courtney R•
Oct 07, 2019
I really appreciated the topics covered in this course. Is a wonderful follow-up to the Exploratory Data course.
Aug 12, 2019
course material and projects help a lot in learning and tips on how to better document research and projects
von 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.
von César A C•
Jun 05, 2017
I really needed this course to fully understand how to work with R from the raw data to publication. Nice ¡¡
von Jared P•
Apr 10, 2016
Loved it. The concepts around reproducible research are important. Should be mandatory teaching in school.
von Suryadipta D•
Apr 12, 2018
well organized and easy-to-understand subject material, shapes up really well towards the specialization.
von Marco C•
Feb 25, 2018
Very useful course to build a scientific way of thinking, and publishing my work has been very engaging.
von santiago R•
Nov 29, 2017
Very nice course. R Markdown make everything looks better and understandable for a reproducible research.
von Yasel G S•
Aug 04, 2016
This course was very important for my work. I learned so much and I want to say thanks to the professors.
von Shreyas G M•
May 01, 2016
Excellently designed course! I loved how the course content and assignments were designed and delivered.
Apr 16, 2018
the best course I have ever come across which gives us an idea about knitter and markdown packages in r
von Mauricio V•
Dec 13, 2016
excellent course, specially all the topics related to markdown, rpubs. A must for each data scientist.
von 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.
von Edwin L A•
Aug 13, 2017
Excelente, sigo en el proceso muy animado y trabajando duro, ha sido una experiencia muy importante.