Data science is about helping humans understand the story behind the data and visualizations provide a powerful tool for telling that story. We delve into the use of visualizations as a tool for data exploration, using Python plotting libraries like matplotlib, seaborn, pandas, and bokeh to highlight the process of dissecting a large dataset to pull out meaningful relationships. We discuss the biases and limitations of both visual and statistical analysis to promote a more holistic approach.
You'll apply the knowledge that you've learned knowledge to create a beautiful, functional web app on Heroku that incorporates real-time queries and user interaction.
Mini Project: Trainees will learn core visualization techniques, technologies, patterns, and best practices by visualizing transportation data through web-based technologies such as D3.js, leaflet.js, and Bokeh. Trainees will uncover interesting trends in location, temporal, and schedule data.