Chevron Left
Voltar para Pesquisa Reprodutível

Comentários e feedback de alunos de Pesquisa Reprodutível da instituição Universidade Johns Hopkins

4.6
estrelas
4,114 classificações

Sobre o 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....

Melhores avaliações

AA

12 de fev 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."

Filtrar por:

251 — 275 de 580 Avaliações para o Pesquisa Reprodutível

por Amsalu B B

27 de jun de 2020

The case study was really interesting!

por Steven V

23 de set de 2016

Excellent course, extremely practical.

por Paul A

22 de mai de 2016

Great introduction to reproducibility.

por Mohammad B H

26 de mai de 2017

Excellent class and great instructor!

por Charles D

19 de out de 2016

Nice course on reproducible research!

por Jia L

30 de mar de 2016

Very well organized course materials.

por C E

21 de out de 2018

Accessible and interesting material.

por karon

2 de jun de 2016

learned some very valuable tools for

por Jeff D

26 de out 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 fev de 2016

Some videos have bad audio quality.

por Thomas N

24 de jan de 2017

This should be a mandatory course.

por sagar s

11 de set 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 BJesús R

28 de ago de 2017

excelente curso e instructores!!

por Rodrigo A d S R

5 de set 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 out 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 Wang C

29 de mai de 2016

This is a very useful course