McGill University
McGill IT Services offers courses, self-paced videos and lunchtime learning on a variety of software topics such as IT security, creating surveys and forms, web publishing, using collaborating with Office 365. The Collaboration Solutions team offers training sessions and one on one consultations for Office 365 collaborative tools (Teams, SharePoint, OneDrive, Microsoft Forms and Bookings).
McGill Libraries also offer introductory data analysis workshops in Python and R. Please check the Libraries' Digital Scholarship Hub schedule of workshops and events for more information.
In addition, all McGill staff members have access to the LinkedIn Learning program, which offers hundreds of self-paced video courses on various IT topics such as software development and programming languages.
Calcul Québec
Calcul Québec analysts offer a range of courses on research software development, as well as training sessions and host conference lunches on many key topics . You can find introductory programming workshops on Python, OpenMP and MPI, GPU libraries, code version control with Git, data analysis with Python, and big data analysis with Spark, as well as first steps on high performance computing servers and parallel programming.
The full list of training sessions and workshops is available on the Calcul Québec training section of their website.
Other McGill initiatives
Many units and initiatives offer workshops on a broad range of topics, please refer to each initiative's website to see what is currently available.
- The Faculty of Science's Computational and Data Systems Initiative (CDSI) offers workshops on topics related to advanced statistical methods, coding and programming languages, high performance computing, machine learning and general data science.
- The McGill initiative in Computational Medicine (MiCM) offers regular workshop series focused on developing skills in bioinformatics research.
- McGill's Geographic Information Centre (GIC) offers workshops related to geospatial data science, including training on topics such as data analysis in R, Python, QGIS, ArcMap, working with LiDAR data, and more. For more information, please visit the GIC's workshop registration page.