Chevron Left
Voltar para Pesquisa Reprodutível

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

4,113 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


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.


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:

176 — 200 de 580 Avaliações para o Pesquisa Reprodutível

por Frederik C

29 de mai de 2018

Key aspect for a good data scientist. It was a nice introduction to knitr etc...

por Jose P

11 de fev de 2018

Perfect to aid past and present curation and validation of research. Thank you!

por Emil L

3 de nov de 2016

Great Course, should be free to all freshman graduate students across the world.

por Jim M

22 de mai de 2020

Very nice final course pulling everything together from the previous 4 courses.

por Nilrey J D C

7 de out de 2019

A very good course to know why it is important to have a reproducible research.

por xuwei. l

15 de mai de 2016

excellent course to introduce practical approach for reporting data analysis !

por Harland H

1 de jul de 2018

Very informative. Will use this on the job to make producing products easier.

por Andrés D C

21 de dez de 2020

Excellent proposal, one of the important things in the scientific research


10 de set de 2017

Very good for anyone wanting to get into the field of Data Science using R

por Anita M G

5 de ago de 2020

Thank you So much !!!

This course wonderfull.. Learnt so many new things.

por Diana S

11 de fev de 2016

Thank you son much!!!!

I really like the course.

It help me in my job =)

por Fikir W E

25 de fev de 2020

I am thankful that such a quality learning material is made available.

por 易灿

2 de fev de 2016

Very helpful, let me know new tools like knitr and Rmarkdown language!

por Kevin H

9 de nov de 2016

Coding documents and data cleaning is possibly the best thing ever =D

por Chong C F

20 de mar de 2017

Everyone should know this, every thing should have prove and balance

por R. V

16 de mai de 2022

VERY CHALLENGING course! But it's all good! You will learn a lot.

por Zhuang W

7 de nov de 2017

Great course! Help us to build the basic skills in data analysis.

por Leopoldo S

30 de out de 2016

Impressed. Great, great, course.

Enjoy and learn at the same time.

por Nurul H A

13 de set de 2020

Very good topic with the very good and challenging assessments.

por Fábio R C

24 de jul de 2017

Great opportunity to become more scientific report the job in R

por carlos j m

11 de abr de 2019

Great course, good lectures. I learned a lot of usable skills.

por Alzum S M

8 de jan de 2019

A great course that will take you ahead to be a Data Scientist


26 de abr de 2022

Really good course. Good introduction to an important topic.

por Brett W

4 de dez de 2017

I really liked this course. I have carried a lot out of it.

por Dorian P

8 de mai de 2017

Very nice course, learn a lot with it. Thank you very much.