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Opiniones y comentarios de aprendices correspondientes a Statistics with R Capstone por parte de Universidad Duke

4.6
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174 calificaciones
38 reseña

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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....

Principales reseñas

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 - 37 de 37 revisiones para Statistics with R Capstone

por Roland

Feb 02, 2018

Excellent course

por José M C

Mar 22, 2017

Great activity!!

por Vinh H

Oct 13, 2017

Very good !

por Albert C G

Jul 02, 2017

Great

por PAUL M

Jul 10, 2018

V

por Bruce H

Dec 06, 2017

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.

por Benjamin E

Jul 12, 2020

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.

por Matthew C

Sep 03, 2020

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

por ninad p

Dec 07, 2019

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

por Tom M

Aug 16, 2017

Excellent

por 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.

por Alexander C

Jul 16, 2020

LOOK OUT FOR THE START DATE