Beginner

• The Unix Shell
• Version control with Git
• Collaborating and sharing using GitHub without command line
• Programming with Python
• Plotting and programming in Python
• Programming with R
• R for Reproducible Scientific Analysis
• Geospatial Data Carpentry workshop
• Introduction to NCL
• Introduction to Big-data using PySpark
• Introduction to the Internet of Things (IoT)

Intermediate

• A comprehensive introduction to version control with Git
• Collaborative distributed version control with Git
• Git branch design
• Programming with Fortran
• Jupyter notebooks
• Automated testing
• Modular code development
• Modular code development type-along
• Documentation
• Social coding and open software
• Reproducible research
• Integrated development environments
• Python for Scientific Computing
• Linux shell tutorial.
• Working with Spatio-temporal Data in Python
• Reproducible Research with Interactive Jupyter Dashboards
• Publication ready scientific reports and presentations with Jupyter notebooks

Advanced

• Introduction to Conda, jupyter(hub) and cloud computing
• DevOps, automation, and continuous integration
• Building portable code with CMake
• Mixed Martial Arts: Interfacing Fortran, C, C++, and Python