Abstract: As data scientists, we are expected to be experts in machine learning, programming, and statistics. However, our audiences might not be! Whether we're working with peers in the office, trying to convince our bosses to take some sort of action, or communicating results to clients, there's nothing more clear or compelling than an effective visual to make our point. Let's leverage the Python libraries Matplotlib and Bokeh along with visual design principles to make our point as clearly and as compellingly as possible!
This talk is designed for a wide audience. If you haven't worked with Matplotlib or Bokeh before or if you (like me!) don't have a natural eye for visual design, that's OK! This will be a hands-on training designed to make visualizations that best communicate what you want to communicate. We'll cover different types of visualizations, how to generate them in Matplotlib, how to reduce clutter and guide your user's eye, and how (and when!) to add interactivity with Bokeh.
Bio: Coming Soon!
Data Scientist & Developer Advocate | General Assembly
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