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Learner Reviews & Feedback for Reproducible Research by Johns Hopkins University

4.6
stars
4,071 ratings
586 reviews

About the Course

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....

Top reviews

AA
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."

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151 - 175 of 568 Reviews for Reproducible Research

By Brandon R C

Feb 17, 2016

One of the most useful classes so far!

Provides great foundation for creating quality reports!

By Trevor G

Nov 27, 2019

I thought this was a very helpful class. Brought together the first 4 classes really nicely.

By Luong M Q

Jul 27, 2017

It is easy to understand and eventually I could create my own research in a reproducible way

By Sanat N D

Apr 8, 2017

I found this course very informative and helpful. The course content is very well organized.

By Manuel M M

Nov 21, 2019

Nice course. you learn quite a lot of things although it could be a little bit more complex

By 李俊宏

Mar 11, 2018

I think this one is very important because scientific research always need to be repeated!

By Talant R

Oct 24, 2016

Great course to learn "knitr" and how to code in reproducible manner!

Totally recommend it!

By Eric K

Jun 21, 2020

Excellent course. Roger Peng is a fantastic instructor and knows R and data science well.

By Giovanni V

Apr 10, 2016

This course helped me to apply skills learned in the other courses of the specialization.

By Georgios P

Oct 31, 2018

I learned how to write and publish reproducible articles in a very short period of time!

By Juliana C

Sep 25, 2017

Great great course to learn basics on reproducibility, and nice R tools like R Markdown

By Wassim K

May 26, 2017

I enjoyed it a lot. the learned material is applicable to any scientific work to be done

By Atair A C j

Oct 6, 2017

I was able to learn very good base to assure my work can be reproduced within my peers.

By 陈颐欢

Jun 10, 2018

The concept introduced here is very essential and basic for high quality data analysis

By Rob S

Feb 6, 2020

very interesting, but a pity about the errors that occur due to incompatible software

By Shubham S

Nov 24, 2019

Thank you instructors, for making me realize the importance of reproducible research.

By Rodney J

Jul 6, 2017

This is a great course on a very important topic that every researcher should master.

By Lindy W

Dec 18, 2016

Learnt some really neat new tools. Favourite course from this specialisation so far.

By SUBHOBRATA G

Sep 18, 2021

i have copmplete 5 courses but not get specialization certificate from data science

By Stephan H

Oct 9, 2017

Nice course. But I'm always worried about the estimated lengths of the assignments.

By Brendan M

Feb 28, 2017

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

By Sai S S

Jun 27, 2017

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

By Raunak S

Oct 11, 2018

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

By Frederik C

May 29, 2018

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

By Jose P

Feb 11, 2018

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