This repository is currently under construction
Author: Alex Nakagawa
This is a repository where all of the workshop and curriculum materials I have created reside. Most of these are in the form of Jupyter Notebooks and PDFs. You are free to do whatever you like with the materials that are in here.
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[decal-sql-lecture] - Introduction to PostgreSQL, SQL, and Relational Database Management Systems for the "Practical Data Science Skills for Internships" lecture series.
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[dss-intro-ml-workshop] - Introduction to Machine Learning, with a focus on case studies, and how data scientists follow the data science lifecycle in the industry to approach certain problems.
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[dss-intro-r-workshop] - Introduction to using the R statistical programming language for data science. Created in collaboration with Junseo Park.
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[dss-python-ii-workshop] - Complete crash course on Python syntax with introductions to numpy and pandas for data science. Created in collaboration with Neelesh Dodda.
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[erg190c-hw8] - Statistical analysis of environmental/geospatial data, CS189 topics.
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[Data Science Modules Textbook] - Lead an effort to consolidate Data Science Modules developed at UC Berkeley, co-edited by Shalini Kunapuli and Chris Pyles
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[PH 241: Statistical Analysis of Categorical Variables] - Graduate Course on Epidemiology. Created in collaboration with Nolan Pokpongkiat