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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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151 - 175 de 532 revisiones para Reproducible Research

por Juliana C

Sep 25, 2017

Great great course to learn basics on reproducibility, and nice R tools like R Markdown

por Wassim K

May 26, 2017

I enjoyed it a lot. the learned material is applicable to any scientific work to be done

por Atair A C j

Oct 07, 2017

I was able to learn very good base to assure my work can be reproduced within my peers.

por 陈颐欢

Jun 11, 2018

The concept introduced here is very essential and basic for high quality data analysis

por Rob S

Feb 06, 2020

very interesting, but a pity about the errors that occur due to incompatible software

por Shubham S

Nov 24, 2019

Thank you instructors, for making me realize the importance of reproducible research.

por Rodney A J

Jul 07, 2017

This is a great course on a very important topic that every researcher should master.

por Lindy W

Dec 19, 2016

Learnt some really neat new tools. Favourite course from this specialisation so far.

por Stephan H

Oct 09, 2017

Nice course. But I'm always worried about the estimated lengths of the assignments.

por Brendan M

Feb 28, 2017

This was possibly the most important class I took, which was completely unexpected.

por Sai S S

Jun 27, 2017

Think an assignment after week-3 even if its a fishing expedition would add value.

por Raunak S

Oct 11, 2018

great course for those wanting to learn basic concepts of Reproducible Research.

por Frederik C

May 29, 2018

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

por Jose P

Feb 12, 2018

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

por Emil L

Nov 03, 2016

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

por Jim M

May 22, 2020

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

por Nilrey J D C

Oct 07, 2019

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

por xuwei l

May 16, 2016

excellent course to introduce practical approach for reporting data analysis !

por Harland H

Jul 02, 2018

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

por SATHYANARAYANAN S

Sep 11, 2017

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

por Anita M G

Aug 05, 2020

Thank you So much !!!

This course wonderfull.. Learnt so many new things.

por Diana S

Feb 11, 2016

Thank you son much!!!!

I really like the course.

It help me in my job =)

por Fikir W E

Feb 25, 2020

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

por 易灿

Feb 02, 2016

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

por Kevin H

Nov 09, 2016

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