Chevron Left
Reproducible Research に戻る

ジョンズ・ホプキンズ大学(Johns Hopkins University) による Reproducible Research の受講者のレビューおよびフィードバック

4.6
4,113件の評価

コースについて

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....

人気のレビュー

AA

2016年2月12日

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

2020年8月19日

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."

フィルター:

Reproducible Research: 176 - 200 / 580 レビュー

by Frederik C

2018年5月29日

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

by Jose P

2018年2月11日

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

by Emil L

2016年11月3日

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

by Jim M

2020年5月22日

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

by Nilrey J D C

2019年10月7日

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

by xuwei. l

2016年5月15日

excellent course to introduce practical approach for reporting data analysis !

by Harland H

2018年7月1日

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

by Andrés D C

2020年12月21日

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

by SATHYANARAYANAN S

2017年9月10日

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

by Anita M G

2020年8月5日

Thank you So much !!!

This course wonderfull.. Learnt so many new things.

by Diana S

2016年2月11日

Thank you son much!!!!

I really like the course.

It help me in my job =)

by Fikir W E

2020年2月25日

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

by 易灿

2016年2月2日

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

by Kevin H

2016年11月9日

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

by Chong C F

2017年3月20日

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

by R. V

2022年5月16日

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

by Zhuang W

2017年11月7日

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

by Leopoldo S

2016年10月30日

Impressed. Great, great, course.

Enjoy and learn at the same time.

by Nurul H A

2020年9月13日

Very good topic with the very good and challenging assessments.

by Fábio R C

2017年7月24日

Great opportunity to become more scientific report the job in R

by carlos j m

2019年4月11日

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

by Alzum S M

2019年1月8日

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

by JAKOB L

2022年4月26日

Really good course. Good introduction to an important topic.

by Brett W

2017年12月4日

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

by Dorian P

2017年5月8日

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