Chester Ismay, PhD
Title: Something old, something new, something borrowed, something blue: Ways to teach data science (and learn it too!)
Abstract: How can we effectively but gently launch new students into the world of data science? In this talk, I will discuss the ways that Albert Y. Kim and I have gone about approaching this by creating an open source, fully reproducible textbook using the bookdown package at ModernDive.com. The textbook uses the paradigm of books as versions instead of editions featuring an introductory “getting started” chapter with links to many videos and interactive content available on DataCamp.com to support new R users. I’ll also discuss how we used #chalktalk (instead of slides) to slow down our instruction to help beginners grasp tidyverse and coding concepts. I will take a glimpse into the new infer package for statistical inference, which performs statistical inference using an expressive syntax that follows tidy design principles. Lastly, I’ll demonstrate vignettes and R Markdown reports that our students created to further support the emerging tidyverse community ecosystem and I’ll provide future goals for our ModernDive.com project.
About Dr. Ismay: Dr. Ismay builds (and helps instructors build) R and SQL courses for DataCamp. He obtained a PhD in Statistics from Arizona State University and has taught college/university courses and led workshops in mathematics, computer science, statistics, and sociology. Before joining DataCamp, Dr. Ismay worked first as an actuary, then as a professor, and most recently as a statistical/data scientist consultant in academia. In addition, he has worked as an R consultant for actuarial firms, companies, and the Portland Trailblazers NBA team. He is co-author of the fivethirtyeight R package and author of the thesisdown R package. He is also a co-author of ModernDive, an open source textbook for introductory statistics and data science students using R.