课程概述
热门审阅
AA
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.
AS
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.
101 - 可重复性研究 的 125 个评论（共 504 个）
创建者 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!
创建者 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.
创建者 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.
创建者 Lee Y L R
•Feb 02, 2018
Clear sharing of the importance of having proper documentation of data analysis process to enable reproducibility.
创建者 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.
创建者 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.
创建者 Courtney R
•Oct 07, 2019
I really appreciated the topics covered in this course. Is a wonderful follow-up to the Exploratory Data course.
创建者 Thiago
•Aug 12, 2019
course material and projects help a lot in learning and tips on how to better document research and projects
创建者 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.
创建者 César A
•Jun 05, 2017
I really needed this course to fully understand how to work with R from the raw data to publication. Nice ¡¡
创建者 Jared P
•Apr 10, 2016
Loved it. The concepts around reproducible research are important. Should be mandatory teaching in school.
创建者 Suryadipta D
•Apr 12, 2018
well organized and easy-to-understand subject material, shapes up really well towards the specialization.
创建者 Marco C
•Feb 25, 2018
Very useful course to build a scientific way of thinking, and publishing my work has been very engaging.
创建者 santiago R
•Nov 29, 2017
Very nice course. R Markdown make everything looks better and understandable for a reproducible research.
创建者 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.
创建者 Shreyas G M
•May 01, 2016
Excellently designed course! I loved how the course content and assignments were designed and delivered.
创建者 sneha
•Apr 16, 2018
the best course I have ever come across which gives us an idea about knitter and markdown packages in r
创建者 Mauricio V
•Dec 13, 2016
excellent course, specially all the topics related to markdown, rpubs. A must for each data scientist.
创建者 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.
创建者 Edwin L A
•Aug 13, 2017
Excelente, sigo en el proceso muy animado y trabajando duro, ha sido una experiencia muy importante.
创建者 Jacques d P
•Apr 11, 2018
How to implement reproducible research is an essential skill for all data scientists. Good course.
创建者 Mihai C
•Mar 08, 2016
Very pragmatic course, tremendously useful not just for research but also for commercial projects.
创建者 Mathew K
•Jan 13, 2020
A pretty good coverage on the need for reproducibility and the best practices to make it happen.
创建者 Christoph G
•Jul 09, 2016
This was really valuable in terms of how to document correctly and produce reproducable reports.
创建者 Bruno R d C S
•Jan 22, 2019
A great introduction to basics of scientific method concerning statistics and result reporting.
