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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