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Avis et commentaires pour d'étudiants pour Recherche reproductible par Université Johns-Hopkins

4,113 évaluations

À propos du cours

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....

Meilleurs avis


12 févr. 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.


19 août 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 sur 580 Avis pour Recherche reproductible

par Amsalu B B

27 juin 2020

The case study was really interesting!

par Steven V

23 sept. 2016

Excellent course, extremely practical.

par Paul A

22 mai 2016

Great introduction to reproducibility.

par Mohammad B H

26 mai 2017

Excellent class and great instructor!

par Charles D

19 oct. 2016

Nice course on reproducible research!

par Jia L

30 mars 2016

Very well organized course materials.

par C E

21 oct. 2018

Accessible and interesting material.

par karon

2 juin 2016

learned some very valuable tools for

par Jeff D

26 oct. 2020

Thank you very much for this course

par Nataliia M

21 juil. 2017

I liked this course. Really usefull

par Edith

14 juin 2016

Great course! I learned a lot. Thx.

par Alexandre N

6 févr. 2016

Some videos have bad audio quality.

par Thomas N

24 janv. 2017

This should be a mandatory course.

par sagar s

11 sept. 2017

Its too good for getting exited!.

par Naeem K

8 août 2016

Very well prepared and explained.

par Sandra G

4 nov. 2020

Excelent course, very practical.

par BJesús R

28 août 2017

excelente curso e instructores!!

par Rodrigo A d S R

5 sept. 2018

Really cool concept and pratice

par Danish K

28 nov. 2016

Awesome course. Must to have!!!

par Ghazouan S

30 oct. 2016

Best course, I have come cross.

par Robert J C

24 août 2019

It's good to learn R Markdown.

par gerson d o

21 juin 2019

GREAT course!!!!!!!!!!!!!!!!!!

par Mounika G

15 avr. 2020

very good interactive courses

par Mahmoud E

27 nov. 2018

Great course very informative

par Wang C

29 mai 2016

This is a very useful course