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學生對 杜克大学 提供的 Statistics with R Capstone 的評價和反饋

4.6
190 個評分
43 條評論

課程概述

The capstone project will be an analysis using R that answers a specific scientific/business question provided by the course team. A large and complex dataset will be provided to learners and the analysis will require the application of a variety of methods and techniques introduced in the previous courses, including exploratory data analysis through data visualization and numerical summaries, statistical inference, and modeling as well as interpretations of these results in the context of the data and the research question. The analysis will implement both frequentist and Bayesian techniques and discuss in context of the data how these two approaches are similar and different, and what these differences mean for conclusions that can be drawn from the data. A sampling of the final projects will be featured on the Duke Statistical Science department website. Note: Only learners who have passed the four previous courses in the specialization are eligible to take the Capstone....

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JN
2017年3月23日

I think this is a very advisable course as a whole, The capstone offers a good occasion to put into practice what has been learned during the four previous courses and also works as a sort of review.

AC
2017年7月12日

Great course, learned a lot and got me started on another project that I've turned into a really nice portfolio item. I feel much more comfortable with R and statistics principles.

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26 - Statistics with R Capstone 的 42 個評論(共 42 個)

創建者 Gabriel T F

2020年8月17日

A very good course

創建者 Marina Z

2017年8月1日

Great! Enjoyed it!

創建者 Jim F

2018年4月6日

Loved this course

創建者 Roland

2018年2月2日

Excellent course

創建者 José M C

2017年3月22日

Great activity!!

創建者 Oscar C R

2020年12月5日

Good Course

創建者 Vinh H

2017年10月12日

Very good !

創建者 Albert C G

2017年7月1日

Great

創建者 PAUL M

2018年7月10日

V

創建者 Bruce H

2017年12月6日

This project will reward you for the time you invest. It's a good simulation of a real-world exercise in using concepts from the specialization. The reason I took away one star is because the grading rubrics at every step are relatively superficial, sometimes absurdly superficial.

創建者 Benjamin E

2020年7月12日

Good, challenging problem sets. Final project is interesting enough, albeit perhaps could have required a bit more in the final submission to make it really rigorous.

創建者 Matthew C

2020年9月3日

The capstone is difficult, especially the quizzes, but it's a great way to solidify the things you learned in the course.

創建者 ninad p

2019年12月7日

This was my first course, and found it very useful to learn new skills.

創建者 Tom M

2017年8月15日

Excellent

創建者 Tanika M

2020年11月27日

The course quizzes were good exercises to practice one's R skills and I enjoyed these a lot. The pacing is great, giving students slack in between assignments and quizzes. I found the final project to be a bit too long, and it felt heavy on Course 3 material (linear regression), with less on hypothesis testing, and no structured review of Bayesian statistics - conjugates, using different priors etc. I found the rubric for the final project to be restrictive, as fairly involved sections ended up being marked with a yes or no, with no way the quality of the response. No one seems to have looked at the forums for 3-4 years like with the last course, which is also disappointing.

創建者 Gonzalo C S

2017年4月4日

We spent several months waiting for this capstone to appear. The instructors dissapeared and nobody knew if this one was going finally to happen or what.

創建者 Alexander C

2020年7月16日

LOOK OUT FOR THE START DATE