ODSC 2020-21 Key Speaker on Data Visualization by David Yerrington

ODSC 2020-21 Key Speaker on Data Visualization

David Yerrington

Data Scientist

Data Visualizer

Public Speaker

Data visualization is fundamental to the data science process Using plots and graphs to convey a complex idea makes your data more accessible to everyone. In this session, I designed a workshop where students learned the fundamentals of plotting with Pandas in Jupyter by building an interactive visualization prototype that can also run as a standalone web application/dashboard. This session was for anyone who wants to be more familiar with data visualization, hands-on, with Python, Pandas, Matplotlib, interactive widgets, and Flask.

Learning Objectives:

Part 1

Be familiar with data visualization conventions within Jupyter Lab

Implement standard plots using Pandas

Be able to describe the integration between matplotlib and Pandas

Understand the concept of "figure" and "axes"

Part 2

Be familiar with other visual frameworks and assess their strengths

Panel fundamentals

Implement a basic prototype visualization for exploring data with interactive elements

Part 3

Tradeoffs between sharing notebooks vs. custom dashboards

Flask Fundamentals

Migrate a Panel visualization in Jupyter to Flask

Having built and lead curriculum for data science at General Assembly for 5 years, I have a unique understanding of what it takes to not just build content for specific objectives in mind, but also how to scale and bring data science programs to a new level. Since my time at GA, I've helped several private and public schools develop their data science and AI content offerings.