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Avis et commentaires pour d'étudiants pour Recherche reproductible par Université Johns-Hopkins

4.6
étoiles
4,115 évaluations

À propos du cours

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....

Meilleurs avis

AA

12 févr. 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 août 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 sur 580 Avis pour Recherche reproductible

par Aditya T

13 mai 2022

Great course to get started with Data Science'

par Leonardo R d L P

29 juil. 2020

Excelent, very straight foward and informative

par Lingareddygari U R

30 juin 2020

A must course for any data science enthusiast.

par Martin D

28 oct. 2018

Great course, great lecture and great content.

par Solomonov A

19 janv. 2017

Great course. Make you think like a scientist.

par Hemanth P M

16 mai 2016

good course. I will recommend it for everyone.

par Anil G

14 mai 2018

One of the best learning contents, great cour

par Harsha V S P B

10 oct. 2020

Amazing course so far in the specialization.

par Javier E S

20 mai 2018

Excellent course. A lot of issues to learn .

par ooi s m

10 juin 2017

detailed explanation with practical hands-on

par Blaž Z

27 août 2019

Very nice project at the end of the course!

par Changkeun K

1 août 2017

very useful and challenge but so memorable.

par Vitalii S

27 juin 2017

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

par Connor B

19 août 2019

Course Project 2 was fun and learned a lot

par AKIL H

6 oct. 2018

Coursera is best platform for E_Learning's

par Rosa E R M

4 avr. 2017

This course was very helpful for my career

par David M

1 août 2020

this is a good framework for any research

par Norberto O

14 mars 2018

Great course and challenging assignments.

par Yazad J

25 nov. 2017

Well taught course on an important topic.

par Ganesh S

26 mai 2016

It gives a live to research. Nice course.

par Rodrigo P

24 avr. 2017

Very important topic to improve science.

par JC C

14 déc. 2016

Excellent course! I highly recommend it.

par Deepak S

31 oct. 2017

good material and right for this course

par Sebastian R

11 avr. 2017

Great perspective of how to do science!

par Eduardo C

15 août 2021

good course by the beginnings of works