Introduction to Data Science the Tidy Way


Course Description

Tidyverse is a set of R packages that are known for their consistent grammar. This workshop will introduce packages in the Tidyverse collection and other packages that use tidy principles. It will cover summarizing data with descriptive statistics and visualizations, wrangling data, statistical modeling and writing reproducible reports with R Markdown.  Prerequisite Knowledge: Some experience with working with data in R, Excel, SAS, SPSS, Python or any other tool.


Course Instructor

Mine Dogucu is Assistant Professor of Teaching in Department of Statistics at the University of California, Irvine. Her work focuses on integrating data science and computing in the statistics curriculum, making Bayesian education accessible at the undergraduate level, instructor training, and active learning. She has been an R user for more than 10 years and has been using Tidyverse in the last 3 years.

Visit Dr. Dogucu's web page.


Course Assistant

Mary Ryan is a fourth year Statistics Ph.D. candidate at the University of California, Irvine, working under Dr. Daniel Gillen.  Her current research interests are in group sequential testing, with  applications in Alzheimer's Disease biomarker discovery. She is also a  member of the Mizzou Mafia, graduating with the Class of 2016 from the  University of Missouri, Columbia, with Bachelors in Journalism and  Statistics.                   

Visit Ms. Ryan's web page