Chevron Left
Back to Reproducible Research

Learner Reviews & Feedback for Reproducible Research by Johns Hopkins University

4.6
stars
3,953 ratings
564 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."

Filter by:

201 - 225 of 547 Reviews for Reproducible Research

By Lei S

Dec 27, 2017

Only thing: maybe some lectures should be updated.

By phani v k

Jan 7, 2017

This is a very good course for a begineer like me.

By Laro N P

May 2, 2018

Good course. Every new course is a new challenge.

By Shivanand R K

Jun 21, 2016

Great and Excellent thoughts and course material.

By Mickey K

Aug 18, 2020

Great course. very important for any researcher.

By Nguyen T T

May 8, 2017

The course very good for beginner data scientist

By ILLYA B

Oct 12, 2020

The best course of John Hopkins Specialization!

By Akram N

May 2, 2019

Very fruitful. I enjoyed this lesson very much.

By Jamie M

Oct 26, 2018

Good course. Does exactly what it says it does.

By Utku K

Nov 14, 2016

Good lesson, about an interesting topic for me.

By Predrag M

Mar 13, 2016

One of the best courses in this specialization.

By Bipin K

Feb 10, 2016

great one to know how about researches are done

By Leonardo R d L P

Jul 29, 2020

Excelent, very straight foward and informative

By Lingareddygari U R

Jun 30, 2020

A must course for any data science enthusiast.

By Martin D

Oct 28, 2018

Great course, great lecture and great content.

By Solomonov A

Jan 19, 2017

Great course. Make you think like a scientist.

By Hemanth P M

May 16, 2016

good course. I will recommend it for everyone.

By Anil G

May 14, 2018

One of the best learning contents, great cour

By Harsha v s p B

Oct 10, 2020

Amazing course so far in the specialization.

By Javier E S

May 20, 2018

Excellent course. A lot of issues to learn .

By ooi s m

Jun 10, 2017

detailed explanation with practical hands-on

By Blaž Z

Aug 27, 2019

Very nice project at the end of the course!

By Changkeun K

Aug 1, 2017

very useful and challenge but so memorable.

By Vitalii S

Jun 27, 2017

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

By Connor B

Aug 19, 2019

Course Project 2 was fun and learned a lot