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Отзывы учащихся о курсе Воспроизводимое исследование от партнера Университет Джонса Хопкинса

Оценки: 3,902
Рецензии: 557

О курсе

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....

Лучшие рецензии


Feb 13, 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.


Aug 20, 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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176–200 из 540 отзывов о курсе Воспроизводимое исследование

автор: Diana S

Feb 11, 2016

Thank you son much!!!!

I really like the course.

It help me in my job =)

автор: Fikir W E

Feb 25, 2020

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

автор: 易灿

Feb 02, 2016

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

автор: Kevin H

Nov 09, 2016

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

автор: Chong C F

Mar 20, 2017

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

автор: Zhuang W

Nov 08, 2017

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

автор: Leopoldo S

Oct 30, 2016

Impressed. Great, great, course.

Enjoy and learn at the same time.

автор: Nurul H A

Sep 14, 2020

Very good topic with the very good and challenging assessments.

автор: Fabio R C

Jul 24, 2017

Great opportunity to become more scientific report the job in R

автор: carlos j m

Apr 12, 2019

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

автор: Alzum S M

Jan 08, 2019

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

автор: Brett W

Dec 04, 2017

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

автор: Dorian P

May 08, 2017

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

автор: carl w

Jul 10, 2018

Knitr was a nice tool to learn. I can see it being useful.

автор: Varishu P

Jul 03, 2018

most nicely designed course in the specialization loved it

автор: Andrew

Apr 07, 2019

One of my favorite courses in the specialization so far.

автор: Andreas K

Dec 12, 2016

best course so far in the data scienist course package!

автор: James W

Oct 31, 2016

This course helped me very much with my current career.

автор: Md G M

Jul 30, 2018

Course contents are very good and easy to understands.

автор: Massimo M

Feb 15, 2018

Very nice course, easy to follow and very well taught.

автор: Giovanni M C V

Feb 16, 2016

Excellent course with great didactic. Congratulations!

автор: Chanpreet K

Dec 30, 2018

Good course content. All things explained quite well.

автор: Dewald O

Oct 31, 2018

Such a great course! The instructors are really good.

автор: César A

Jun 16, 2020

Very nice program and a lot of practical exercices

автор: Mohammad A

Jul 20, 2018

Great course , very informative and well organized