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Python Basics (5 of 5): Visualization and Communication
Python Basics for Data Analysis Series
This series of introductory workshops are intended for individuals with little to no familiarity with Python or similar tools that rely on a scripted environment. They are intended as a low barrier entry into the world of research computing through the Python language.
Visualization and Communication (workshop 5 of 5): This session will introduce data visualization in Python and methods for creating reproducible reports. Common visualizations including bar charts, histograms, and scatterplots will be covered. Participants will also learn to use Jupyter Notebooks to interweave narrative text and data analysis to produce shareable reports.
By the end of this session, participants will be able to build, annotate, and customize common data visualizations, and create reproducible reports that combine code, results, and narrative text for distribution.
Questions? Please reach out to the Centre for Scholarly Communication at csc.ok@ubc.ca.
A full schedule of workshops can be found at csc.ok.ubc.ca/workshops/