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学生对 杜克大学 提供的 Statistics with R Capstone 的评价和反馈

4.7
138 个评分
27 个审阅

课程概述

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....

热门审阅

JN

Mar 24, 2017

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

Jul 13, 2017

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 27 个评论(共 27 个)

创建者 Janio A M

Aug 15, 2018

I will recommend to give the information about the projects even if the proect starts in September 10th so we could advance while enrollment opens up.

创建者 Gonzalo C S

Apr 04, 2017

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.