What's in this repository?
- Notes that aren't for specific courses.
- Notes from when I was a teaching assistant at UC Davis (2013 - 2018):
Year(s) | Term | Course | Topics |
---|---|---|---|
2017-18 | Spring | STA 160 | Applied statistics projects |
2017-18 | Winter | STA 141B | Python, Data extraction & cleaning |
2016-17 | Fall | STA 141A | R, Exploratory data analysis, Programming fundamentals |
2016 | Winter | ECS 256 | Rcpp, Probabilistic modeling |
2013-15 | Fall | STA 141 | R, Mix of STA 141AB topics |
2014 | Spring | STA 135 | Multivariate statistics, Machine learning |
My notes and reference sheets:
- R Learning Resources
- Python Learning Resources
- SQL Cheatsheet
- Statistical Graphics Checklist
- Getting Started with Rcpp (probably outdated)
Notes from courses I instructed (and developed) are in separate repositories linked below.
I also maintain a set of personal research computing notes called Nick's Bag of Tricks.
Year | Term | Organization | Title | Links |
---|---|---|---|---|
2024 | Spring | UC Davis DataLab | Machine Learning in R | Reader |
2024 | Spring | UC Davis DataLab | Overview of Machine Learning | Reader |
2024 | Winter | UC Davis DataLab | Intro to Remote Computing | Reader |
2024 | Winter | UC Julia User Group | Julia Basics | Reader |
2024 | Winter | UC Davis DataLab | Intermediate R | Reader |
2023 | Fall | UC Davis DataLab | Reproducibility Principles & Practices | Reader |
2023 | Spring | UC Davis DataLab | Python Data Visualization | Reader |
2023 | Winter | UC Davis DataLab | Intermediate R | Reader |
2022 | Summer | UC Davis DataLab | R Basics | Reader |
2022 | Spring | UC Davis DataLab | Intermediate Python | Reader |
2021 | Fall | UC Davis DataLab | Python Basics | Reader |
2021 | Spring | UC Davis DataLab | R Basics | Reader |
2018 | Fall | UC Davis Data Science Initiative | Intro to SQL | Repo |
2017 | Spring | UC Davis Data Science Initiative | Python for Data Analysis, Part 2 | Repo |
2015 | Winter | UC Davis Statistics | Python for Data Mining | Repo |
Video recordings are available for many of the DataLab workshops, and can be found here (search "Ulle").
Year | Term | Organization | Title | Links |
---|---|---|---|---|
2024 | Winter | UC Davis DataLab | Adventures in Data Science (STS 115) | Course Reader |
2022 | Winter | UC Davis DataLab | Adventures in Data Science (IST 8) | Course Reader |
2021 | Winter | UC Davis DataLab | Adventures in Data Science (IST 8) | Course Reader |
As a Neyman Visiting Assistant Professor at UC Berkeley:
Year | Term | Course | Links |
---|---|---|---|
2020 | Fall | STAT 33A | Repo |
2020 | Fall | STAT 33B | Repo |
2020 | Spring | STAT 33A | Repo |
2020 | Spring | STAT 33B | Repo |
As an Associate Instructor at UC Davis:
Year | Term | Course | Links |
---|---|---|---|
2019 | Winter | STA 141B | Repo |
2018 | Fall | STA 141A | Repo |
2016 | Spring | STS 98 | Repo |
2014 | Summer II | STA 13 | - |