Chester Ismay, Ph.D.
Data Scientist and Instructor
DataCamp, Portland, Oregon
Chester Ismay, PhD, is Curriculum Lead at DataCamp and builds (and helps instructors build) R, Python, and SQL courses for DataCamp. He was formerly an Adjunct Professor of Sociology at Pacific University and an Instructional Technologist and Consultant for Data Science, Statistics, and R at Reed College.
He obtained his PhD in statistics from Arizona State University and has taught courses and led workshops in statistics, data science, mathematics, computer science, statistics, and sociology. He is co-author of both the fivethirtyeight and the infer R packages and is 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.
Chester is interested in the use of simulation and statistical computing to improving statistics and data science education.
His passion is for working with others on statistical projects using the R computing language and on pushing for reproducible research in all aspects.
He is also interested in statistics in sports and in enhancing public awareness and knowledge of the fields of statistics and data science.
He has taught many collegiate courses over the last ten years with varying roles from primary instructor to recitation/lab leader. His love for engaging students in mathematical, computational, and statistical concepts influences my work greatly.