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Learner Reviews & Feedback for Reproducible Research by Johns Hopkins University

4.6
stars
4,178 ratings

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

RG

Apr 29, 2020

Great topic which is discussed well with a good case study. I'd like to see more up-to-date content and more detailed analytical techniques. However, it's a nice introduction!

IM

Aug 9, 2019

Without taking this course wouldn't have fully understood the importance of reproducible research in data science. Thank you so much. I recommend this course for all data scientists.

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476 - 500 of 589 Reviews for Reproducible Research

By Christopher G

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Aug 31, 2016

Material was very interesting and I learned a lot

By Ray W

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Mar 2, 2016

Good to know the principles here. Thanks.

By Ilia E

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Apr 26, 2016

Week1 and Week2 should be swapped I guess.

By Fabien N

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Nov 13, 2019

I really liked the assignments projects !

By Shishir S P

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Nov 23, 2020

Enjoyed this course while studying it.

By Craig S

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Jan 8, 2018

Some good insights into best practice!

By Shivang

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Sep 29, 2016

Could have been covered in 1-2 weeks.

By Sabawoon S

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Jul 4, 2017

I can relate to this, very helpful.

By Anton

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May 11, 2018

Final project was very intersting.

By Mark S

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Jan 20, 2016

Compact, informative and practical

By Mandar G

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Jun 26, 2017

A well structured course. Thanks.

By João R

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Jun 3, 2017

Too repetitive. Could be shorter.

By Ric J A N

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Apr 7, 2017

The course is very informative.

By Iair M L S J

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Jan 18, 2017

Could have more content in deep

By Naman D D

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Jun 21, 2020

It was an informative course.

By SAKINA Z

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Jul 8, 2020

great learning experience!!

By Sathiaseelan P

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Jun 7, 2018

This Course was really fun.

By Mark S

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Nov 9, 2017

Import information to know.

By mohamad r

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Feb 18, 2016

Still i can used easily.

By Tim B

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May 19, 2017

Good intro to concepts

By Devansh A

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May 13, 2024

greatlkghkbijgfibijn

By Vadim K

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May 26, 2016

Rather general topic

By Sourav B

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Jul 12, 2017

informative course

By Jason W

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Jan 3, 2017

latex is better :O