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Comentários e feedback de alunos de Statistics with R Capstone da instituição Universidade Duke

4.6
estrelas
175 classificações
38 avaliações

Sobre o curso

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....

Melhores avaliações

JN
23 de Mar de 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
12 de Jul de 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 Avaliações para o Statistics with R Capstone

por Roland

2 de Fev de 2018

Excellent course

por José M C

22 de Mar de 2017

Great activity!!

por Vinh H

12 de Out de 2017

Very good !

por Albert C G

1 de Jul de 2017

Great

por PAUL M

10 de Jul de 2018

V

por Bruce H

6 de Dez de 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

12 de Jul de 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

3 de Set de 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

7 de Dez de 2019

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

por Tom M

15 de Ago de 2017

Excellent

por Gonzalo C S

4 de Abr de 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

16 de Jul de 2020

LOOK OUT FOR THE START DATE