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Learner Reviews & Feedback for Reproducible Research by Johns Hopkins University

4.6
stars
4,070 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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451 - 475 of 568 Reviews for Reproducible Research

By Herminio V

Sep 13, 2016

Very useful material, and great use for presenting data analysis results.

By Savitri

Jan 28, 2019

Nice and the content of the course will help you a lot to work on

By Ashish S

May 17, 2016

This would be very effective for my personal skill enhancement.

By Ankush K

Jan 8, 2018

It's a great course on a topic that is not addressed enough.

By Kennan Y

Jun 13, 2017

More details are needed about the R/knitr specific details

By Juan G

May 27, 2020

Nice Course, it teaches R Markdown with RStudio and Knitr

By Angel M

Mar 11, 2021

Nice course about how present data and make reports.

By Peter E

Sep 15, 2018

One of Peng's lectures was a little quick and loose

By xiang

Jul 31, 2016

Good but not that deep. This should be in 2 weeks.

By Christopher G

Aug 31, 2016

Material was very interesting and I learned a lot

By Ray W

Mar 2, 2016

Good to know the principles here. Thanks.

By Ilia E

Apr 26, 2016

Week1 and Week2 should be swapped I guess.

By Fabien N

Nov 13, 2019

I really liked the assignments projects !

By Shishir S P

Nov 23, 2020

Enjoyed this course while studying it.

By Craig S

Jan 8, 2018

Some good insights into best practice!

By Alberto T

Jun 4, 2016

Great course. Learn new amazing stuff.

By Shivang

Sep 29, 2016

Could have been covered in 1-2 weeks.

By Sabawoon S

Jul 4, 2017

I can relate to this, very helpful.

By Anton

May 11, 2018

Final project was very intersting.

By Mark S

Jan 20, 2016

Compact, informative and practical

By Mandar G

Jun 26, 2017

A well structured course. Thanks.

By João R

Jun 3, 2017

Too repetitive. Could be shorter.

By ric j n

Apr 7, 2017

The course is very informative.

By Iair M L S J

Jan 18, 2017

Could have more content in deep

By Naman D D

Jun 21, 2020

It was an informative course.