Learning Resources


Researchers and their teams may be interested in engaging various freely available, online, and in-person training resources that we describe below.

UAB Events & Resources

Bioinformatics PowerTalk

i2b2 Training

  • Accessing clinical data for research with i2b2 can help investigators determine study feasibility (sample cohort size), identify potential participants for recruitment, perform simple data analyses of de-identified patient data, and explore hypotheses for clinical studies/trials.

  • See https://www.uab.edu/ccts/research-commons/informatics/trainings/i2b2-training for more information.

Research Computing’s Monthly HPC Training Offerings

  • Sign up to hpc-announce mailing list to receive training announcements at https://docs.uabgrid.uab.edu/wiki/Cheaha#Support
  • Past topics have included fundamentals training, like “Git basics and parallel programming scripts“, “Migrating data to/from Cheaha“, and “Virtual environments for Python and Anaconda“, as well as data science-specific training, like “Using XGBoost in Python“.
Data Science Club

LinkedIn Learning

  • For online, video-based courses and learning paths, see https://www.linkedin.com/learning.
    • Log in with your UAB blazerid.
    • Search for topics like “git“, “jupyter“, “data science“, “machine learning“, and more.
Other Online Resources

Git Tutorials

Jupyter Notebook Tutorials
Globus Tutorials
Events Archive

U-BRITE “Pilot Case study” Hackathon” See https://ubrite.org/?page_id=1376