FavoriteLoadingBookmark this content

Statistics with R Capstone No ratings yet.




Link to Content:
Statistics with R Capstone

Created/Published/Taught by:
Coursera
Duke University
Merlise A Clyde
Colin Rundel
David Banks
Mine Çetinkaya-Rundel

Content Found Via:
Coursera

Free? Partially: Some Free Content, Some Paid

Cost Range:
$0.00 - $88.00

Tags: / /
Content Type: /

Difficulty Rating:

No ratings yet.



This is course 5 of 5 in the Statistics with R Specialization.

From Coursera:

“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.”

Recommended Prerequisites: "Only learners who have passed the four previous courses in the specialization are eligible to take the Capstone."

Go to Content: Statistics with R Capstone