Statistics with R Capstone

Statistics with R Capstone

Credential
Department

Statistical Science

Intermediate

English

Variable

Variable

Overview

The Statistics with R Capstone is the final course in the Statistics with R Coursera Specialization.

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.

Note: Only learners who have passed the four previous courses in the Specialization are eligible to take the Capstone.

Instructors

Mine Çetinkaya-Rundel
Mine Çetinkaya-Rundel

Associate Professor of the Practice in the Department of Statistical Science

David Banks
David Banks

Professor of the Practice of Statistical Science

Merlise Clyde
Merlise Clyde

Professor of Statistical Science

Colin Rundel
Colin Rundel

Assistant Professor of the Practice of Statistical Science

Mathematics / Open online course

Data Science Math Skills

Data science courses contain math—no avoiding that! This course is designed to teach learners the basic math you will need in order to be successful in almost any data... Learn More

Statistics & Data Analysis / Coursera specialization

Statistics with R

In this Specialization, you will learn to analyze and visualize data in R and create reproducible data analysis reports, demonstrate a conceptual understanding of the... Learn More

Have Questions ? Contact Us or visit our FAQ.