Building Interactive Visualizations in Python
Building Interactive Visualizations in Python


This workshop will introduce interactive plotting in Python. Participants can expect to learn techniques for improving data comprehension and communication through visualization. This workshop is ideal for anyone looking for a hands-on introduction to Bokeh and other plotting libraries through case studies. Attendees can also expect an emphasis on best practices for design. After this course, participants will understand how and when to incorporate interactive elements into visualizations.
Why this workshop:
- Uncover hidden insights by visualizing your data
- Communicate your findings in medium that is easy to digest and take action

- How to build an interactive visualization with Bokeh
- Use cases for interactive visualizations
- Visualization best practices

- Python
- Jupyter notebook


Tim is a Business Technology Consultant, with a focus on Business Intelligence. He helps companies leverage digital applications to enhance operations and better serve their customers. His work spans from ideation facilitation and technology roadmaps, to complex implementations. Tim’s past projects range from manufacturing in the government sector (U.S. Treasury, DOT) to supply chain operations for major retailers (Intel, Wegmans, MillerCoors, Tom’s Shoes). Cross-domain applications, alternative business models, and automation are of special interest.When Tim is not playing with the 14 virtual machines he has on his computer, he can be seen (or not seen) traveling and skiing.

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