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學生對 约翰霍普金斯大学 提供的 可重复性研究 的評價和反饋

4.6
4,106 個評分
597 條評論

課程概述

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....

熱門審閱

AA

2016年2月12日

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

2020年8月19日

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."

篩選依據:

101 - 可重复性研究 的 125 個評論(共 579 個)

創建者 Leo F

2017年2月28日

One of my favourites. The course is easy to follow and the idea of having a self-contained and reproducible document is very powerful.

創建者 Luz M S G

2020年10月6日

It was a good experience. The final project has been the most challenging that I have had in the specialization, but I learned a lot.

創建者 Arjun S

2017年8月27日

Great stuff. Glad to have the course make us create an Rpubs profile and publish research. Recommended strongly for data scientists

創建者 Daniel C J

2016年11月14日

Great course. A must for every analyst for its simple tips on reproducibility, which can go a very very long way at work or school

創建者 Omar N

2018年11月8日

Really good module/course, gives you a glimpse into real world implementation of data science and the challenges involved with it.

創建者 ONG P S

2020年1月19日

Very practical and knowledge learned can be applied into my works as auditors. This can benefit any fields involving using data.

創建者 Donald J

2018年1月22日

These are important skills for a data scientist and I'm glad there is a full 4-week course dedicated to reproducible research.

創建者 Richmond S

2016年9月29日

I struggled in getting the final project right but it helped me understand the course better. Thumbs up reproducible research

創建者 PRAKASH K

2020年7月13日

I strongly recommend this course ,it focuses on reproducible research which is equally an important aspect of data analysis.

創建者 Glenn W

2019年3月4日

Favorite course so far. Really enjoyed working on the projects. They were very helpful in helping to reinforce the material.

創建者 Mathew K E

2021年3月30日

This course has been an eye-opener for me and going forward, it would be an indispensable tool in my research activities.

創建者 Amanyiraho R

2020年1月13日

Very interesting and tackles a very important issue that Data scientists always miss-out, reproducibility of your project

創建者 Azat G

2019年1月24日

Amazing course, it introduced the concepts of reproducibility which is used to provide scientific fairness, transparency.

創建者 Anusha V

2019年1月3日

Excellent Course - particular useful for anyone doing research and performing any kind of analysis on the observed data.

創建者 Adrielle S

2016年4月3日

Muito completo. Inglês claro. Muitos exemplos. Chega a ser repetitivo em algumas aulas mas, antes sobrar do que faltar!

創建者 Krishna B

2017年5月30日

towards the end of week 1 lectures we can see all the parts of this specialization coming together in a very nice way!

創建者 Monica Z

2020年12月11日

Very challenging. However, every step in this specialization improves my knowledge and the way of solving problems.

創建者 Prem S

2017年8月2日

Nice course,especially it gives you a general idea and foundation on r markdown files if you already know R studio.

創建者 Federico A V R

2017年7月27日

This topic is relevant to the field, yet few institutions offer courses on it. Great knowledge, highly recommended.

創建者 Lee Y L R

2018年2月1日

Clear sharing of the importance of having proper documentation of data analysis process to enable reproducibility.

創建者 Ann B

2017年3月14日

I think this topic is sometimes overlooked, but very necessary. This course did a good job of covering the topic.

創建者 Emily S

2016年5月17日

I think this is an essential course that more people should take. Reproducibility is a huge issue in many fields.

創建者 Courtney R

2019年10月7日

I really appreciated the topics covered in this course. Is a wonderful follow-up to the Exploratory Data course.

創建者 Thiago M

2019年8月12日

course material and projects help a lot in learning and tips on how to better document research and projects

創建者 Gregorio A A P

2017年8月26日

Excellent, but I would be grateful if you could translate all your courses of absolute quality into Spanish.