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学生对 约翰霍普金斯大学 提供的 可重复性研究 的评价和反馈

3,663 个评分
521 条评论


This course focuses on the concepts and tools behind reporting modern data analyses in a reproducible manner. Reproducible research is the idea that data analyses, and more generally, scientific claims, are published with their data and software code so that others may verify the findings and build upon them. The need for reproducibility is increasing dramatically as data analyses become more complex, involving larger datasets and more sophisticated computations. Reproducibility allows for people to focus on the actual content of a data analysis, rather than on superficial details reported in a written summary. In addition, reproducibility makes an analysis more useful to others because the data and code that actually conducted the analysis are available. This course will focus on literate statistical analysis tools which allow one to publish data analyses in a single document that allows others to easily execute the same analysis to obtain the same results....



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.


151 - 可重复性研究 的 175 个评论(共 504 个)

创建者 Brendan M

Feb 28, 2017

This was possibly the most important class I took, which was completely unexpected.

创建者 Sai S S

Jun 27, 2017

Think an assignment after week-3 even if its a fishing expedition would add value.

创建者 Raunak S

Oct 11, 2018

great course for those wanting to learn basic concepts of Reproducible Research.

创建者 Frederik C

May 29, 2018

Key aspect for a good data scientist. It was a nice introduction to knitr etc...

创建者 Jose P

Feb 12, 2018

Perfect to aid past and present curation and validation of research. Thank you!

创建者 Emil L

Nov 03, 2016

Great Course, should be free to all freshman graduate students across the world.

创建者 Jim M

May 22, 2020

Very nice final course pulling everything together from the previous 4 courses.

创建者 Nilrey J D C

Oct 07, 2019

A very good course to know why it is important to have a reproducible research.

创建者 xuwei l

May 16, 2016

excellent course to introduce practical approach for reporting data analysis !

创建者 Harland H

Jul 02, 2018

Very informative. Will use this on the job to make producing products easier.


Sep 11, 2017

Very good for anyone wanting to get into the field of Data Science using R

创建者 Diana S

Feb 11, 2016

Thank you son much!!!!

I really like the course.

It help me in my job =)

创建者 Fikir W E

Feb 25, 2020

I am thankful that such a quality learning material is made available.

创建者 易灿

Feb 02, 2016

Very helpful, let me know new tools like knitr and Rmarkdown language!

创建者 Kevin H

Nov 09, 2016

Coding documents and data cleaning is possibly the best thing ever =D

创建者 Chong C F

Mar 20, 2017

Everyone should know this, every thing should have prove and balance

创建者 Zhuang W

Nov 08, 2017

Great course! Help us to build the basic skills in data analysis.

创建者 Leopoldo S

Oct 30, 2016

Impressed. Great, great, course.

Enjoy and learn at the same time.

创建者 Fabio R C

Jul 24, 2017

Great opportunity to become more scientific report the job in R

创建者 carlos j m

Apr 12, 2019

Great course, good lectures. I learned a lot of usable skills.

创建者 Alzum S M

Jan 08, 2019

A great course that will take you ahead to be a Data Scientist

创建者 Brett W

Dec 04, 2017

I really liked this course. I have carried a lot out of it.

创建者 Dorian P

May 08, 2017

Very nice course, learn a lot with it. Thank you very much.

创建者 Carl W

Jul 10, 2018

Knitr was a nice tool to learn. I can see it being useful.

创建者 Varishu P

Jul 03, 2018

most nicely designed course in the specialization loved it