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Learner Reviews & Feedback for Reproducible Research by Johns Hopkins University

4.6
stars
3,982 ratings
569 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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176 - 200 of 552 Reviews for Reproducible Research

By SATHYANARAYANAN S

Sep 10, 2017

Very good for anyone wanting to get into the field of Data Science using R

By Anita M G

Aug 5, 2020

Thank you So much !!!

This course wonderfull.. Learnt so many new things.

By Diana S

Feb 11, 2016

Thank you son much!!!!

I really like the course.

It help me in my job =)

By Fikir W E

Feb 25, 2020

I am thankful that such a quality learning material is made available.

By 易灿

Feb 2, 2016

Very helpful, let me know new tools like knitr and Rmarkdown language!

By Kevin H

Nov 9, 2016

Coding documents and data cleaning is possibly the best thing ever =D

By Chong C F

Mar 20, 2017

Everyone should know this, every thing should have prove and balance

By Zhuang W

Nov 7, 2017

Great course! Help us to build the basic skills in data analysis.

By Leopoldo S

Oct 30, 2016

Impressed. Great, great, course.

Enjoy and learn at the same time.

By Nurul H A

Sep 13, 2020

Very good topic with the very good and challenging assessments.

By Fábio R C

Jul 24, 2017

Great opportunity to become more scientific report the job in R

By carlos j m

Apr 11, 2019

Great course, good lectures. I learned a lot of usable skills.

By Alzum S M

Jan 8, 2019

A great course that will take you ahead to be a Data Scientist

By Brett W

Dec 4, 2017

I really liked this course. I have carried a lot out of it.

By Dorian P

May 8, 2017

Very nice course, learn a lot with it. Thank you very much.

By Carl W

Jul 9, 2018

Knitr was a nice tool to learn. I can see it being useful.

By Varishu P

Jul 3, 2018

most nicely designed course in the specialization loved it

By Andrew

Apr 7, 2019

One of my favorite courses in the specialization so far.

By Andreas K

Dec 12, 2016

best course so far in the data scienist course package!

By James W

Oct 31, 2016

This course helped me very much with my current career.

By Md G M

Jul 30, 2018

Course contents are very good and easy to understands.

By Massimo M

Feb 15, 2018

Very nice course, easy to follow and very well taught.

By Giovanni M C V

Feb 16, 2016

Excellent course with great didactic. Congratulations!

By Chanpreet K

Dec 30, 2018

Good course content. All things explained quite well.

By Dewald O

Oct 31, 2018

Such a great course! The instructors are really good.