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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
4,115 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:

176 - 可重复性研究 的 200 个评论(共 580 个)

创建者 Frederik C

May 29, 2018

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

创建者 Jose P

Feb 11, 2018

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

创建者 Emil L

Nov 3, 2016

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

创建者 Jim M

May 22, 2020

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

创建者 Nilrey J D C

Oct 7, 2019

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

创建者 xuwei. l

May 15, 2016

excellent course to introduce practical approach for reporting data analysis !

创建者 Harland H

Jul 1, 2018

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

创建者 Andrés D C

Dec 21, 2020

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

创建者 SATHYANARAYANAN S

Sep 10, 2017

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

创建者 Anita M G

Aug 5, 2020

Thank you So much !!!

This course wonderfull.. Learnt so many new things.

创建者 Diana S

Feb 11, 2016

Thank you son much!!!!

I really like the course.

It help me in my job =)

创建者 Fikir W E

Feb 25, 2020

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

创建者 易灿

Feb 2, 2016

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

创建者 Kevin H

Nov 9, 2016

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

创建者 Chong C F

Mar 20, 2017

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

创建者 R. V

May 16, 2022

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

创建者 Zhuang W

Nov 7, 2017

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

创建者 Leopoldo S

Oct 30, 2016

Impressed. Great, great, course.

Enjoy and learn at the same time.

创建者 Nurul H A

Sep 13, 2020

Very good topic with the very good and challenging assessments.

创建者 Fábio R C

Jul 24, 2017

Great opportunity to become more scientific report the job in R

创建者 carlos j m

Apr 11, 2019

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

创建者 Alzum S M

Jan 8, 2019

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

创建者 JAKOB L

Apr 26, 2022

Really good course. Good introduction to an important topic.

创建者 Brett W

Dec 4, 2017

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

创建者 Dorian P

May 8, 2017

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