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

4,058 calificaciones
581 reseña

Acerca del Curso

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 reseñas

12 de feb. de 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 de ago. de 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 564 revisiones para Reproducible Research

por Nataliia M

21 de jul. de 2017

I liked this course. Really usefull

por Edith

14 de jun. de 2016

Great course! I learned a lot. Thx.

por Alexandre N

6 de feb. de 2016

Some videos have bad audio quality.

por Thomas N

24 de ene. de 2017

This should be a mandatory course.

por sagar s

11 de sep. de 2017

Its too good for getting exited!.

por Naeem K

8 de ago. de 2016

Very well prepared and explained.

por Sandra G

4 de nov. de 2020

Excelent course, very practical.

por Brenda J R A

28 de ago. de 2017

excelente curso e instructores!!

por Rodrigo A d S R

5 de sep. de 2018

Really cool concept and pratice

por Danish K

28 de nov. de 2016

Awesome course. Must to have!!!

por Ghazouan S

30 de oct. de 2016

Best course, I have come cross.

por Robert J C

24 de ago. de 2019

It's good to learn R Markdown.

por gerson d o

21 de jun. de 2019

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

por Mounika G

15 de abr. de 2020

very good interactive courses

por Mahmoud E

27 de nov. de 2018

Great course very informative

por roy w

29 de may. de 2016

This is a very useful course

por Gopal B

4 de abr. de 2016

Great course!! Go GO RPENG!!

por Tomasz S

4 de sep. de 2019

Extremely important course.

por Roland P

22 de nov. de 2017

Great course, very relevant

por Henrique d S C

4 de feb. de 2016

Great Course, Learned a lot

por Raju G

15 de sep. de 2017

excellent publishing skill

por Muhammed A I

2 de nov. de 2016

nice learn about the graph

por Guilherme

7 de mar. de 2016

Practical, and well paced.

por Denis G

13 de mar. de 2018

Extremely useful course !

por Venkatesh

3 de jul. de 2017

Very well designed course