Introduction to Notebooks for Research Computing
This lecture will introduce learners to notebooks for research computing. Computational notebooks are an excellent resource for interactive development and data analysis using Python, R and other languages. Notebooks can contain live code, equations, visualizations and explanatory text which provide an integrated environment to use, share and teach interactive data analysis.
Level: This is a beginner level workshop. No previous introduction to notebooks, programming or reproducible reporting is necessary.
Learning Outcomes: Learners will become familiar with the anatomy of a notebook, will be introduced to notebook workflows, and will learn to author and translate between reports in multiple formats.
Check out this data science illustration and more at https://allisonhorst.com/data-science-art
Dr. Steiner aims to facilitate conversations around open science among health science researchers through her educational outreach.