Learner Reviews & Feedback for Reproducible Research by Johns Hopkins University
About the Course
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 beca...
Top reviews
AP
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."
126 - 150 of 588 Reviews for Reproducible Research
By Thiago M
•Aug 12, 2019
course material and projects help a lot in learning and tips on how to better document research and projects
By Gregorio A A P
•Aug 26, 2017
Excellent, but I would be grateful if you could translate all your courses of absolute quality into Spanish.
By César A C
•Jun 5, 2017
I really needed this course to fully understand how to work with R from the raw data to publication. Nice ¡¡
By Jared P
•Apr 10, 2016
Loved it. The concepts around reproducible research are important. Should be mandatory teaching in school.
By Suryadipta D
•Apr 12, 2018
well organized and easy-to-understand subject material, shapes up really well towards the specialization.
By Marco C
•Feb 25, 2018
Very useful course to build a scientific way of thinking, and publishing my work has been very engaging.
By santiago R
•Nov 29, 2017
Very nice course. R Markdown make everything looks better and understandable for a reproducible research.
By Yasel G
•Aug 4, 2016
This course was very important for my work. I learned so much and I want to say thanks to the professors.
By Shreyas G M
•Apr 30, 2016
Excellently designed course! I loved how the course content and assignments were designed and delivered.
By Hsin C C
•Oct 5, 2021
Good practice from previous sessions to summarize GGplots accordingly and share same practices as well.
By sneha
•Apr 16, 2018
the best course I have ever come across which gives us an idea about knitter and markdown packages in r
By Mauricio V
•Dec 12, 2016
excellent course, specially all the topics related to markdown, rpubs. A must for each data scientist.
By Timothy M S J
•Nov 29, 2016
Great class. It helps frame all that you will do as a Data Scientist. Building blocks. Peng nails it.
By Edwin L A
•Aug 13, 2017
Excelente, sigo en el proceso muy animado y trabajando duro, ha sido una experiencia muy importante.
By Hampton, B G
•Aug 1, 2021
I enjoyed this course as it had practical applications to my work as well as my personal interests.
By Jacques d P
•Apr 11, 2018
How to implement reproducible research is an essential skill for all data scientists. Good course.
By Mihai C
•Mar 8, 2016
Very pragmatic course, tremendously useful not just for research but also for commercial projects.
By Mathew K
•Jan 13, 2020
A pretty good coverage on the need for reproducibility and the best practices to make it happen.
By Christoph G
•Jul 9, 2016
This was really valuable in terms of how to document correctly and produce reproducable reports.
By Bruno R S
•Jan 21, 2019
A great introduction to basics of scientific method concerning statistics and result reporting.
By Hongzhi Z
•Nov 1, 2017
Every week contain assignment about making big projects with less video to watch. That's great。
By Md. I H
•Jul 3, 2017
This course provides insights about how to reproduce the research findings in efficient manner.
By Naren R B
•Apr 8, 2019
Would definitey recommend this, it covers an important aspect of research for Data Scientists.
By Carlos A C Z
•Aug 21, 2017
Excellent course. High recommended for people how need make research than must be reproducible
By Yanal K
•May 28, 2016
Wonderful course on research principles and the creation of reproducible R reports with knitr.