Logo

$79

Statistics with R Capstone

Created by -

Merlise A Clyde,Colin Rundel,David Banks,Mine Çetinkaya-Rundel
,
Duke University

0.00

(0 ratings)

English

Wishlist

Overview

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.

course image

USD 79

provider image

Type: Online

This course includes

  • Approx. 6 hours to complete
  • Earn a Certificate upon completion
  • Start instantly and learn at your own schedule.

Taken this course?

Share your experience with other students

Share

Add Review

course image

USD 79

provider image

Type: Online

This course includes

  • Approx. 6 hours to complete
  • Earn a Certificate upon completion
  • Start instantly and learn at your own schedule.

Taken this course?

Share your experience with other students

Share

Add Review

Statistics with R Capstone

Created by -

Merlise A Clyde,Colin Rundel,David Banks,Mine Çetinkaya-Rundel
,
Duke University

0.00

(0 ratings)

All Levels

Start Date: March 22nd 2021

Course Description

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.

The information used on this page is how each course is described on the Coursera platform.

Course Structure

Tags

Mark Complete


About the Instructor

Merlise A Clyde,Colin Rundel,David Banks,Mine Çetinkaya-Rundel,Duke University

No Reviews at this moment.

Explore Skillqore

Skillqore Newsletter

Keep me up to date with content, updates, and offers from Skillqore


Copyright © 2020 Skillqore, Inc. All Rights Reserved.