Chevron Left
Вернуться к Воспроизводимое исследование

Отзывы учащихся о курсе Воспроизводимое исследование от партнера Университет Джонса Хопкинса

Оценки: 3,903
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."

Фильтр по:

151–175 из 540 отзывов о курсе Воспроизводимое исследование

автор: Talant R

Oct 25, 2016

Great course to learn "knitr" and how to code in reproducible manner!

Totally recommend it!

автор: Eric K

Jun 22, 2020

Excellent course. Roger Peng is a fantastic instructor and knows R and data science well.

автор: Giovanni V

Apr 10, 2016

This course helped me to apply skills learned in the other courses of the specialization.

автор: Georgios P

Oct 31, 2018

I learned how to write and publish reproducible articles in a very short period of time!

автор: Juliana C

Sep 25, 2017

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

автор: Wassim K

May 26, 2017

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

автор: 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.

автор: 陈颐欢

Jun 11, 2018

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

автор: Rob S

Feb 06, 2020

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

автор: Shubham S

Nov 24, 2019

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

автор: Rodney A J

Jul 07, 2017

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

автор: Lindy W

Dec 19, 2016

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

автор: Stephan H

Oct 09, 2017

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

автор: Brendan M

Feb 28, 2017

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

автор: Sai S S

Jun 27, 2017

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

автор: Raunak S

Oct 11, 2018

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

автор: Frederik C

May 29, 2018

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

автор: Jose P

Feb 12, 2018

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

автор: Emil L

Nov 03, 2016

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

автор: Jim M

May 22, 2020

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

автор: Nilrey J D C

Oct 07, 2019

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

автор: xuwei l

May 16, 2016

excellent course to introduce practical approach for reporting data analysis !

автор: Harland H

Jul 02, 2018

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


Sep 11, 2017

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

автор: Anita M G

Aug 05, 2020

Thank you So much !!!

This course wonderfull.. Learnt so many new things.