Chevron Left
返回到 可重复性研究

学生对 约翰霍普金斯大学 提供的 可重复性研究 的评价和反馈

4.6
4,113 个评分

课程概述

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....

热门审阅

AA

Feb 12, 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

Aug 19, 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."

筛选依据:

226 - 可重复性研究 的 250 个评论(共 580 个)

创建者 Aditya T

May 13, 2022

Great course to get started with Data Science'

创建者 Leonardo R d L P

Jul 29, 2020

Excelent, very straight foward and informative

创建者 Lingareddygari U R

Jun 30, 2020

A must course for any data science enthusiast.

创建者 Martin D

Oct 28, 2018

Great course, great lecture and great content.

创建者 Solomonov A

Jan 19, 2017

Great course. Make you think like a scientist.

创建者 Hemanth P M

May 16, 2016

good course. I will recommend it for everyone.

创建者 Anil G

May 14, 2018

One of the best learning contents, great cour

创建者 Harsha V S P B

Oct 10, 2020

Amazing course so far in the specialization.

创建者 Javier E S

May 20, 2018

Excellent course. A lot of issues to learn .

创建者 ooi s m

Jun 10, 2017

detailed explanation with practical hands-on

创建者 Blaž Z

Aug 27, 2019

Very nice project at the end of the course!

创建者 Changkeun K

Aug 1, 2017

very useful and challenge but so memorable.

创建者 Vitalii S

Jun 27, 2017

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

创建者 Connor B

Aug 19, 2019

Course Project 2 was fun and learned a lot

创建者 AKIL H

Oct 6, 2018

Coursera is best platform for E_Learning's

创建者 Rosa E R M

Apr 4, 2017

This course was very helpful for my career

创建者 David M

Aug 1, 2020

this is a good framework for any research

创建者 Norberto O

Mar 14, 2018

Great course and challenging assignments.

创建者 Yazad J

Nov 25, 2017

Well taught course on an important topic.

创建者 Ganesh S

May 26, 2016

It gives a live to research. Nice course.

创建者 Rodrigo P

Apr 24, 2017

Very important topic to improve science.

创建者 JC C

Dec 14, 2016

Excellent course! I highly recommend it.

创建者 Deepak S

Oct 31, 2017

good material and right for this course

创建者 Sebastian R

Apr 11, 2017

Great perspective of how to do science!

创建者 Eduardo C

Aug 15, 2021

good course by the beginnings of works