Abstract: 

What separates the world's best data visualizations from the rest? Join Metis Senior Data Scientist Jonathan Balaban as he highlights amazing visuals and dissects best practices in visualization and storytelling. Then, he will guide you through open-source platforms and code that enable similar, compelling visuals we can use to share our work.
Outline:
1. Introduce five impactful and dynamic visualizations
Discuss use, design choices, and pros/cons of our visualizations
Review which domains or data are best suited for our visualizations
Familiarization with dataset and quick visualization as baseline
2. Introduce packages for build, and walk through each visualization’s codeset
Review default arguments and method choices
Consider alternatives and when they would be appropriate
3. Discuss sharing and deployment of results
Tips and tools for embedding into front ends
Review best practices from Tufte and industry experts
4. Conclusion
Attendees will gain:
Insight into what makes for a compelling visualization
Experience with multiple open-source, dynamic visualization packages
Insight into deployment strategies

Bio: 

Jonathan is an instructor at Metis’s San Francisco bootcamp, but he has crossed the country with Metis as a previous instructor at the Seattle and Chicago campuses as well. He enjoys teaching the art of impact-focused, practical data science and helping students find amazing careers with top-tier companies like Apple, Tesla, and Amazon. As a data scientist, he has worked at McKinsey and Booz Allen Hamilton and consulted for numerous companies. He has led teams to design bespoke data science solutions that have driven revolutionary changes in client operations. Jonathan - sometimes successfully - leverages data science solutions in his personal life: on friends, racing, and training.