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Opiniones y comentarios de aprendices correspondientes a Reproducible Research por parte de Universidad Johns Hopkins

4.6
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3,840 calificaciones
547 reseña

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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....

Principales reseñas

AA

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.

RR

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 de 532 revisiones para Reproducible Research

por Chong C F

Mar 20, 2017

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

por Zhuang W

Nov 08, 2017

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

por Leopoldo S

Oct 30, 2016

Impressed. Great, great, course.

Enjoy and learn at the same time.

por Nurul H A

Sep 14, 2020

Very good topic with the very good and challenging assessments.

por Fabio R C

Jul 24, 2017

Great opportunity to become more scientific report the job in R

por carlos j m

Apr 12, 2019

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

por Alzum S M

Jan 08, 2019

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

por Brett W

Dec 04, 2017

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

por Dorian P

May 08, 2017

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

por carl w

Jul 10, 2018

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

por Varishu P

Jul 03, 2018

most nicely designed course in the specialization loved it

por Andrew

Apr 07, 2019

One of my favorite courses in the specialization so far.

por Andreas K

Dec 12, 2016

best course so far in the data scienist course package!

por James W

Oct 31, 2016

This course helped me very much with my current career.

por Md G M

Jul 30, 2018

Course contents are very good and easy to understands.

por Massimo M

Feb 15, 2018

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

por Giovanni M C V

Feb 16, 2016

Excellent course with great didactic. Congratulations!

por Chanpreet K

Dec 30, 2018

Good course content. All things explained quite well.

por Dewald O

Oct 31, 2018

Such a great course! The instructors are really good.

por César A

Jun 16, 2020

Very nice program and a lot of practical exercices

por Mohammad A

Jul 20, 2018

Great course , very informative and well organized

por Lei S

Dec 27, 2017

Only thing: maybe some lectures should be updated.

por phani v k

Jan 08, 2017

This is a very good course for a begineer like me.

por Laro N P

May 02, 2018

Good course. Every new course is a new challenge.

por Shivanand R K

Jun 21, 2016

Great and Excellent thoughts and course material.