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Opiniones y comentarios de aprendices correspondientes a Reproducible Research por parte de Universidad Johns Hopkins

3,833 calificaciones
547 revisiones

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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....

Principales revisiones


Feb 13, 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.


Aug 20, 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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251 - 275 de 530 revisiones para Reproducible Research

por Wang C

May 29, 2016

This is a very useful course

por Gopal B

Apr 05, 2016

Great course!! Go GO RPENG!!

por Tomasz S

Sep 04, 2019

Extremely important course.

por Roland P

Nov 22, 2017

Great course, very relevant

por Henrique d S C

Feb 04, 2016

Great Course, Learned a lot

por Raju G

Sep 16, 2017

excellent publishing skill

por Muhammed A I

Nov 02, 2016

nice learn about the graph

por Guilherme

Mar 07, 2016

Practical, and well paced.

por Denis G

Mar 13, 2018

Extremely useful course !

por Venkatesh

Jul 03, 2017

Very well designed course

por Abhinav K

Jun 10, 2016

Don't wait!!! just enroll

por Diana

Sep 03, 2020

Very practical projects!

por David W

Mar 22, 2020

Very interesting content

por Baburaj V

Jul 20, 2018

Nicely explained topics.

por Valentin K

Apr 19, 2017

Very interesting course

por Michael M

Apr 03, 2017

Good intro to the topic

por Haydee S

Mar 15, 2017

Extremely useful!!!


por Emanuele M

Aug 08, 2016

foundamental. well done

por Chen S F

Feb 10, 2020


por Gary T

Dec 20, 2019

Very critical course!!

por Alessandro S

Jan 30, 2018

That's a great course.

por Divvya.T

Nov 01, 2017

good course to take !!

por Mohankumar S

May 08, 2017

Nice course to explore

por Marcus S S

Jan 29, 2017

Very important course!

por Tanuj S

May 05, 2018

Amazing course guides