The following is a list of workshops presented by the SCF in recent years, with links to the content.

• Core computational skills workshop
  Based on the department workshop for incoming graduate students in August 2024. Introductory and intermediate coverage of version control (with Git), debugging, testing, good coding practices, numerical issues, packaging, reproducibility, and automation.
  Last updated August 2024.
• Introduction to computing and to Python
  Based on the department workshop for incoming graduate students in August 2024. 
  Last updated August 2024.
• Databases and SQL
  Based on Chris Paciorek's workshop in January 2024. Intermediate level coverage of database concepts, SQL (including subqueries and window functions), and database creation.
  Last updated January 2024.
• Parallel programming with Dask and R future
  Based on Chris Paciorek's workshop in March 2019.
  Last updated March 2019.

• An intensive introduction to R
  Based on the SCF/D-Lab R bootcamps held every August, 2013-2023.
  Last updated August 2023.

• An intensive introduction to Python
  Based on the SCF Python workshop held August 2023.
  Last updated August 2023.

• Parallel programming
  Based on Chris Paciorek's workshop on campus resources and parallel programming in November 2016. This material extends that given in workshops in October 2015, October 2014, October/November 2013 and in October 2012.
  Last updated November 2016.

• Using the campus Savio cluster: an introduction for Biostatistics researchers
  Based on Chris Paciorek's workshop in March 2016.
  Last updated March 2016.

• GPU computation
  Based on Chris Paciorek's workshop in February 2016.
  Last updated February 2016.

• Using make to automate analysis workflows and building software
  Based on Chris Paciorek's presentation to the Berkeley chapter of The Hacker Within in April 2015.
  Last updated April 2015.

• Parallel programming in R and with Amazon's EC2
  Based on Chris Paciorek's workshop for the Berkeley biostat grad students on shared and distributed memory parallelism in R in March 2015.
  Last updated March 2015.

• MapReduce and distributed computing using Spark
  Based on Chris Paciorek's workshop in November 2014.
  Last updated November 2014.

• GPU computation
  Based on Chris Paciorek's workshop in April 2014.
  Last updated April 2014.

• Using C++, calling C++ from R, and creating R packages
  Includes material from Chris Paciorek's workshop in April/May 2013.
  Last updated spring 2013.

• Computation in the cloud
  Includes use of Amazon's EC2 and Google Compute Engine.
  Last updated March 2014.