Statistics with R Specialization
Course Features
Duration
7 months
Delivery Method
Online
Available on
Limited Access
Accessibility
Desktop, Laptop
Language
English
Subtitles
English
Level
Beginner
Effort
3 hours per week
Teaching Type
Self Paced
Course Description
Course Overview
International Faculty
Post Course Interactions
Instructor-Moderated Discussions
Skills You Will Gain
What You Will Learn
Analyze and visualize data
Perform hypothesis tests, interpret statistical results (e.g., p-values), and report the results of your analysis to clients
Fit, examine, and utilize regression models to examine relationships between multiple variables
Install and use R and RStudio
Course Instructors
Mine Çetinkaya-Rundel
Associate Professor of the Practice
Mine Çetinkaya-Rundel is an Assistant Professor of the Practice at the Department of Statistical Science at Duke University. She received her Ph.D. in Statistics from the University of California, Lo...
David Banks
Professor of the Practice
David Banks is a Professor of the Practice in the Department of Statistical Science at Duke University. He received his PhD in statistics in 1984 from Virginia Tech. He has previously served on the f...
Colin Rundel
Assistant Professor of the Practice
Colin Rundel is an Assistant Professor of the Practice in the Department of Statistical Science at Duke University. He received his Ph.D. in Statistics from the University of California, Los Angeles,...