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Next Workshop: January 2025
Recent years have seen a dramatic increase in the collection of data. Data science involves the use of computational and statistical tools to analyze the large data sets in virtually any field ranging from finance to health care. This virtual workshop course consists of self-guided tutorials to walk you through basic concepts in computer programming and data analysis. Prior programming experience is not required.
Part 1: Data Science
Part 1: Data Science
Students are guided through fundamental programming concepts using the Unix command line, scripting languages C shell and awk, and the Python programming language. Participants gain hands-on experience in data analysis on their Mac or PC. Windows machines will use the the Cygwin Unix emulator. The section concludes with a demonstration of modern statistical analysis using the R programming language.
Part 2: Molecular Modeling
Part 2: Molecular Modeling
Molecular graphics software is used for 3D structure visualization with an emphasis in protein modeling. Applications include the Fold.it crowdsourcing research game and Visual Molecular Dynamics software used by structural biology researchers.
*Registration for the physical workshop is free but limited. Contact rhills at une dot edu to sign up for Part 1 and/or Part 2.
Contents:
Tutorial 1: Unix command line and the Vi text editor
Tutorial 2: Unix shell scripting with C shell and Awk
Tutorial 3: Programming with the Python language
Tutorial 4: Statistical Learning with R
Tutorial 5: Protein Modeling with Foldit
Tutorial 6: Structure Visualization with VMD
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