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Вернуться к Воспроизводимое исследование

Отзывы учащихся о курсе Воспроизводимое исследование от партнера Университет Джонса Хопкинса

Оценки: 4,065
Рецензии: 584

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

12 февр. 2016 г.

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.

19 авг. 2020 г.

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:

126–150 из 567 отзывов о курсе Воспроизводимое исследование

автор: Jared P

10 апр. 2016 г.

Loved it. The concepts around reproducible research are important. Should be mandatory teaching in school.

автор: Suryadipta D

12 апр. 2018 г.

well organized and easy-to-understand subject material, shapes up really well towards the specialization.

автор: Marco C

25 февр. 2018 г.

Very useful course to build a scientific way of thinking, and publishing my work has been very engaging.

автор: santiago R

29 нояб. 2017 г.

Very nice course. R Markdown make everything looks better and understandable for a reproducible research.

автор: Yasel G S

4 авг. 2016 г.

This course was very important for my work. I learned so much and I want to say thanks to the professors.

автор: Shreyas G M

1 мая 2016 г.

Excellently designed course! I loved how the course content and assignments were designed and delivered.

автор: sneha

16 апр. 2018 г.

the best course I have ever come across which gives us an idea about knitter and markdown packages in r

автор: Mauricio V

12 дек. 2016 г.

excellent course, specially all the topics related to markdown, rpubs. A must for each data scientist.

автор: Timothy M S J

29 нояб. 2016 г.

Great class. It helps frame all that you will do as a Data Scientist. Building blocks. Peng nails it.

автор: Edwin L A

13 авг. 2017 г.

Excelente, sigo en el proceso muy animado y trabajando duro, ha sido una experiencia muy importante.

автор: Hampton, B G

1 авг. 2021 г.

I enjoyed this course as it had practical applications to my work as well as my personal interests.

автор: Jacques d P

11 апр. 2018 г.

How to implement reproducible research is an essential skill for all data scientists. Good course.

автор: Mihai C

8 мар. 2016 г.

Very pragmatic course, tremendously useful not just for research but also for commercial projects.

автор: Mathew K

13 янв. 2020 г.

A pretty good coverage on the need for reproducibility and the best practices to make it happen.

автор: Christoph G

9 июля 2016 г.

This was really valuable in terms of how to document correctly and produce reproducable reports.

автор: Bruno R S

21 янв. 2019 г.

A great introduction to basics of scientific method concerning statistics and result reporting.

автор: Hongzhi Z

1 нояб. 2017 г.

Every week contain assignment about making big projects with less video to watch. That's great。

автор: Md. I H

4 июля 2017 г.

This course provides insights about how to reproduce the research findings in efficient manner.

автор: Naren R B

8 апр. 2019 г.

Would definitey recommend this, it covers an important aspect of research for Data Scientists.

автор: Carlos A C Z

21 авг. 2017 г.

Excellent course. High recommended for people how need make research than must be reproducible

автор: Yanal K

28 мая 2016 г.

Wonderful course on research principles and the creation of reproducible R reports with knitr.

автор: Julian M D C

17 июля 2020 г.

Very helpful course and very important subject. Perhaps the best course in the specialization

автор: Harsh G

16 мая 2020 г.

Great course, informative videos, challenging Projects and and excellent learning experience.

автор: Premkumar S

11 нояб. 2018 г.

Excellent course! Very good course materials and well thought out quizzes! Highly recommend!!

автор: Brandon R C

17 февр. 2016 г.

One of the most useful classes so far!

Provides great foundation for creating quality reports!