David Dalpiaz
Data Importer-Exporter
Hello and welcome to my webzone! You can call me Dave!
I am currently a Teaching Associate Professor for the Siebel School of Computing and Data Science at the University of Illinois Urbana-Champaign.
What am I working on?
- Teaching CS 307, an introduction to machine learning for data science students.
- Writing Atomic R, a textbook introducing the R programming language.
- Developing
bbd, an R package for accessing baseball data. - Contributing to the PrairieLearn R autograder.
- Researching accessibility needs and best practices in STEM education.
- Applying statistical methodology to public baseball data.
- Chairing the UIUC Senate Committee on University Statutes and Senate Procedures.
Contact
The best way to reach me is by email. I might have a work phone, but I honestly don’t know the number and I respond faster to email anyway.
- Email: dalpiaz2@illinois.edu
- Office: 2320 Siebel Center for Computer Science
- GitHub: daviddalpiaz
Posts
-
2024-08-08 Baseball Analytics Research Opportunity
-
2023-11-14 Careers in Sports & Data
-
2023-03-30 Moneyball in R
-
2023-02-09 Reduce Friction, Increase Learning
-
2022-10-04 Accessing Baseball Data for Analysis with R
-
2022-04-02 Recreating NFL Scorigami with R
-
2020-08-17 Ten Simple Rules for Success in STAT 432
-
2019-11-27 Letters of Recommendation
-
2019-08-22 The Extended Syllabus
No matching items
Teaching
CS 307Modeling and Learning in Data ScienceCS 498End-to-End Data ScienceSTAT 100StatisticsSTAT 200Statistical AnalysisSTAT 385Statistical Programming MethodsSTAT 400Statistics and Probability ISTAT 420Statistical Modeling in RSTAT 432Basics of Statistical LearningSTAT 510Mathematical StatisticsSTAT 593Statistics InternshipSTAT 3202 @ OSUStatistical InferenceSTAT 4194 @ OSUData Analytics Capstone
Books
- Atomic R
- Currently in use for STAT 385 at Illinois for the Department of Statistics. Provides an introduction to programming through the use of the R programming language. Focuses on “Base R” rather than the
tidyversecollection of domain specific packages.
- Currently in use for STAT 385 at Illinois for the Department of Statistics. Provides an introduction to programming through the use of the R programming language. Focuses on “Base R” rather than the
- Applied Statistics with R
- Currently in use for STAT 420 both in-person and online at Illinois for the Departments of Statistics and Computer Science.
- R for Statistical Learning / Basics of Statistical Learning
- These books should largely be considered abandonware. Expect to see similar material for Python developed for use in CS 307.
- Perpetually undergoing considerable changes and developments, including an attempt at a complete re-write. Originally intended to be supplemental notes to ISL in order to provide additional examples in R, the text is starting to become a complete reference text for STAT 432, Basics of Statistical Learning, at Illinois for the Department of Statistics. Target audience is advanced undergraduate students in statistics with previous experience with R and regression.