nick-ulle / teaching-notesLinks
Notes from courses and workshops I've taught or assisted with at UC Davis and UC Berkeley.
☆31Updated 4 months ago
Alternatives and similar repositories for teaching-notes
Users that are interested in teaching-notes are comparing it to the libraries listed below
Sorting:
- Course materials for Stat 133, Spring 2018, at UC Berkeley☆38Updated 7 years ago
- This repository holds all course materials for the fall 2015 offering of Statistics 243 at UC Berkeley.☆35Updated 8 years ago
- Statistics/D-Lab R bootcamp at UC Berkeley, August 2017☆19Updated 8 years ago
- This repository holds all course materials for the fall 2018 offering of Statistics 243 at UC Berkeley.☆17Updated 6 years ago
- Course materials for Stat 133, fall 2017, at UC Berkeley☆40Updated 8 years ago
- This repository holds all course materials for the fall 2017 offering of Statistics 243 at UC Berkeley.☆12Updated 8 years ago
- This repository holds all course materials for the fall 2014 offering of Statistics 243 at UC Berkeley.☆15Updated 10 years ago
- My solutions to the exercises in "Data Analysis Using Regression and Multilevel/Hierarchical Models" by Andrew Gelman and Jennifer Hill☆82Updated 6 years ago
- Textbook for Data 88: Economic Models at UC Berkeley☆20Updated last month
- Course materials for Stat 154, spring 2018, at UC Berkeley☆27Updated 7 years ago
- D-Lab's Machine Learning Working Group at UC Berkeley, with supervised & unsupervised learning tutorials in R and Python☆66Updated 6 years ago
- Biostatistics 301: Introduction to Statistical Computing☆82Updated 7 years ago
- edav.info/☆54Updated 3 years ago
- An R package implementing Rubin's (1981) Bayesian bootstrap.☆49Updated 10 months ago
- Methods of Applied Statistics Course Textbook Repository☆167Updated last year
- An introduction to Bayesian statistics☆75Updated last year
- R Examples Repository☆62Updated last year
- Course materials for Stat 133, fall 2016, at UC Berkeley☆15Updated 8 years ago
- Processing data from the Early Childhood Longitudinal Study (ECLS)☆33Updated last year
- R code for figures on Statistics with R slides☆20Updated 8 years ago
- John K. Kruschke's Doing Bayesian Data Analysis: A Tutorial with R and BUGS☆118Updated 9 years ago
- Introduction to Programming for UC Berkeley's D-Lab☆24Updated 7 years ago
- This repository holds all course materials for the fall 2020 offering of Statistics 243 at UC Berkeley.☆13Updated 5 years ago
- Bayesian Modeling using Stan in R (May/June 2016)☆54Updated 9 years ago
- Contains a CSS file that styles a selected RStudio editor theme the atom way☆46Updated 7 years ago
- Examples of statistical models implemented using JAGS☆101Updated 13 years ago
- Practical examples for the R caret machine learning package☆69Updated 8 years ago
- JSM 2016 talk: Thinking with Data using R and RStudio: powerful idioms for analysts☆23Updated 9 years ago
- ☆37Updated 7 years ago
- Course materials for Stat 20 and Stat 131A, Spring 2017, at UC Berkeley☆17Updated 8 years ago