Learning Objectives: After this workshop, learners will be able to load tabular datasets into Python, compute simple summaries and visualizations, perform common data-tidying tasks, write reusable functions, and identify where to go to learn more.

Prerequisites: No prior programming experience is necessary. All learners will need access to an internet-connected computer and the latest version of Anaconda and JupyterLab installed on their local machine prior to the start of the first workshop. Learners should commit to attending all four sessions of this series.

Software: Before the first workshop, learners must install the latest versions of the Anaconda and JupyterLab software. Follow the DataLab Python Install Guide at https://ucdavisdatalab.github.io/install_guides/python-and-python-tools.html#python-and-python-tools.

Workshop Reader: https://ucdavisdatalab.github.io/workshop_python_basics/

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