Chevron Left
Voltar para Pesquisa Reprodutível

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

4.6
estrelas
4,115 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:

226 — 250 de 580 Avaliações para o Pesquisa Reprodutível

por Aditya T

13 de mai de 2022

Great course to get started with Data Science'

por Leonardo R d L P

29 de jul de 2020

Excelent, very straight foward and informative

por Lingareddygari U R

30 de jun de 2020

A must course for any data science enthusiast.

por Martin D

28 de out de 2018

Great course, great lecture and great content.

por Solomonov A

19 de jan de 2017

Great course. Make you think like a scientist.

por Hemanth P M

16 de mai de 2016

good course. I will recommend it for everyone.

por Anil G

14 de mai de 2018

One of the best learning contents, great cour

por Harsha V S P B

10 de out de 2020

Amazing course so far in the specialization.

por Javier E S

20 de mai de 2018

Excellent course. A lot of issues to learn .

por ooi s m

10 de jun de 2017

detailed explanation with practical hands-on

por Blaž Z

27 de ago de 2019

Very nice project at the end of the course!

por Changkeun K

1 de ago de 2017

very useful and challenge but so memorable.

por Vitalii S

27 de jun de 2017

I enjoyed this one so much! Give me more...

por Connor B

19 de ago de 2019

Course Project 2 was fun and learned a lot

por AKIL H

6 de out 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 mai 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 JC C

14 de dez de 2016

Excellent course! I highly recommend it.

por Deepak S

31 de out 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 Eduardo C

15 de ago de 2021

good course by the beginnings of works