The SCF periodically offers in-person workshops and also provides online self-study tutorials on topics related to statistical computing. A quick reference list is provided here.
| Training |
Topic |
Last Updated |
| Tutorial |
Basic introduction to the UNIX command line |
December 2021 |
| Tutorial |
Introduction to LaTeX |
August 2015 |
| Tutorial |
Dynamic documents with code chunks |
August 2023 |
| Tutorial |
Introduction to git and GitHub |
August 2017 |
| Tutorial |
Using the bash shell |
June 2022 |
| Tutorial |
String processing in R and Python |
August 2023 |
| Tutorial |
Parallel processing in R, Python, Julia, Matlab, and C/C++, including GPU use |
March 2024 |
| Tutorial |
Flexible parallel processing using Dask in Python and future in R |
October 2024 |
| Tutorial |
Working with large datasets in SQL, R, and Python |
March 2024 |
| Tutorial |
Using make for workflows |
August 2015 |
| Tutorial |
Writing efficient R code |
September 2022 |
| Tutorial |
Debugging in R |
September 2022 |
| Workshop |
Computational skills (version control, testing, debugging, reproducibility) |
August 2024 |
| Workshop |
Introduction to SQL and databases |
January 2024 |
| Workshop |
Introduction to R |
August 2023 |
| Workshop |
Introduction to Python (and the shell) |
August 2024 |
| Workshop |
Introduction to the Savio campus cluster (for biostat) |
March 2016 |
| Workshop |
Using Spark |
November 2014 |
| Workshop |
Parallel computing |
November 2016 |
| Workshop |
GPU computation |
February 2016 |
| Workshop |
C++ and creating R packages |
May 2013 |
| Tutorial |
Computing in the cloud |
March 2014 |
