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

4.6
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3,954 calificaciones
564 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

AA
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.

RR
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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226 - 250 de 547 revisiones para Reproducible Research

por AKIL H

6 de oct. de 2018

Coursera is best platform for E_Learning's

por Rosa E R M

4 de abr. de 2017

This course was very helpful for my career

por David M

1 de ago. de 2020

this is a good framework for any research

por Norberto O

14 de mar. de 2018

Great course and challenging assignments.

por Yazad J

25 de nov. de 2017

Well taught course on an important topic.

por Ganesh S

26 de may. de 2016

It gives a live to research. Nice course.

por Rodrigo P

24 de abr. de 2017

Very important topic to improve science.

por Jennyfer C

14 de dic. de 2016

Excellent course! I highly recommend it.

por Deepak S

31 de oct. de 2017

good material and right for this course

por Sebastian R

11 de abr. de 2017

Great perspective of how to do science!

por Amsalu B

27 de jun. de 2020

The case study was really interesting!

por Steven V

23 de sep. de 2016

Excellent course, extremely practical.

por Paul A

22 de may. de 2016

Great introduction to reproducibility.

por Mohammad B H

26 de may. de 2017

Excellent class and great instructor!

por Charles D

19 de oct. de 2016

Nice course on reproducible research!

por Jia L

30 de mar. de 2016

Very well organized course materials.

por Chadrick A E

21 de oct. de 2018

Accessible and interesting material.

por karon

2 de jun. de 2016

learned some very valuable tools for

por Jeff L J D

26 de oct. de 2020

Thank you very much for this course

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.