David Keellings, Professor & Researcher
About This Class
This class is designed to introduce core programming principles as we work through real world analyses and build your knowledge and capabilities as we progress. No prior programming or statistics experience is required.
After completing the course, you will have developed a foundation of basic ability to program in R, be capable of performing statistical analyses using R, and be familiar with how to generate meaningful graphical output of results.
R is like any other programming language in that it has a steep learning curve. This class will reduce that learning curve through active learning whereby you learn by doing as everything we do in this class will involve real-life data and hands-on activities.
Through this hands-on approach you will actively learn how to solve multiple common problems facing R users in academia, private industry, and data science in general. This unique approach will foster your ability to solve problems using R and it will allow the relevance and power of R’s tools to become apparent.
This course focuses on exploring the core principles of programming, basic statistical analyses, and data visualizations.
I’m looking forward to beginning our journey into R and turning you into a confident and accomplished R user!
I’ll see you in class,
This class is hands on as we work together through statistical analyses of real data. Two challenges/exercises are integrated into the course and worked solutions are presented. Attached here are the dataset you will be working with and the entire R code. So if you miss something or want to check your work you can open this complete script in RStudio.
Professor & Researcher
I am Dr. David Keellings and I am really pleased that you are interested in learning R programming!
I am a climate scientist and professor of geography with over ten years of experience using R programming as a researcher and teacher. My research focuses on the climatology of extremes in temperature and precipitation. I have published my research extensively and I have been featured in numerous media outlets and press releases. Aside from academia, I have worked for several years as an…
Skills in this Class:
Business, Data Visualization, Statistics, Data Analysis, Data Science, R Programming, Business Analytics