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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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226 - 250 of 589 Reviews for Reproducible Research

By Predrag M

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Mar 13, 2016

One of the best courses in this specialization.

By Bipin K

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Feb 10, 2016

great one to know how about researches are done

By Thomas F

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Nov 8, 2023

very good courese. Fitted well in my worklife.

By Aditya T

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May 13, 2022

Great course to get started with Data Science'

By Leonardo R d L P

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Jul 29, 2020

Excelent, very straight foward and informative

By Lingareddygari U R

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Jun 30, 2020

A must course for any data science enthusiast.

By Martin D

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Oct 28, 2018

Great course, great lecture and great content.

By Andrii S

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Jan 19, 2017

Great course. Make you think like a scientist.

By Hemanth M

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May 16, 2016

good course. I will recommend it for everyone.

By Anil G

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May 14, 2018

One of the best learning contents, great cour

By Harsha V S P B

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Oct 10, 2020

Amazing course so far in the specialization.

By Javier E S

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May 20, 2018

Excellent course. A lot of issues to learn .

By ooi s m

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Jun 10, 2017

detailed explanation with practical hands-on

By Blaž Z

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Aug 27, 2019

Very nice project at the end of the course!

By Changkeun K

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Aug 1, 2017

very useful and challenge but so memorable.

By Vital

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Jun 27, 2017

I enjoyed this one so much! Give me more...

By Connor B

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Aug 19, 2019

Course Project 2 was fun and learned a lot

By AKIL H

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Oct 6, 2018

Coursera is best platform for E_Learning's

By Rosa E R M

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Apr 4, 2017

This course was very helpful for my career

By David M

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Aug 1, 2020

this is a good framework for any research

By Norberto O

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Mar 14, 2018

Great course and challenging assignments.

By Yazad J

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Nov 25, 2017

Well taught course on an important topic.

By Ganesh S

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May 26, 2016

It gives a live to research. Nice course.

By Rodrigo P

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Apr 24, 2017

Very important topic to improve science.

By JC C

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Dec 14, 2016

Excellent course! I highly recommend it.