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.
Meet Your Instructors
Michael Li has worked as a data scientist (Foursquare, A16Z), quant (D.E. Shaw, J.P. Morgan), and a rocket scientist (NASA). He did his PhD at Princeton as a Hertz fellow and read Part III Maths at Cambridge as a Marshall scholar.
Francesco Mosconi is a Data Scientist at Catalit. Previously, he was the Chief Data Officer at Spire, a next-generation wearables company, a co-founder at Axelera, and an application engineer at Roche. He received a joint PhD from Université Pierre et Marie Curie (Paris VI) and Università degli Studi di Padova (Padua, Italy).
Ariel M'ndange-Pfupfu studied physics at Stanford and got an engineering PhD from Northwestern. Since joining The Data Incubator as a Data Scientist in Residence, he’s worked on a variety of data science and software engineering projects, as well as curriculum development and instruction.
Robert Schroll is a Data Scientist in residence at The Data Incubator and has been a key contributor to a variety of open source software development and data science projects. He received his PhD from the University of Chicago in computational physics and his undergraduate degree from Maryland.
Date & Location
OnLocation: This will be taking place in Miami on November 2, 3 & 4.
Venue Information: Miami, at Florida's southeastern tip, is a vibrant city whose Cuban influence is reflected in the cafes and cigar shops that line Calle Ocho in Little Havana. It is a major center and a leader in finance, commerce, culture, media, entertainment, the arts, and international trade.
Innovation Enterprise Academy has negotiated a discounted room block at the Seaport World Trade Center for $289 per night - click here to book.
$2995 Silver Package: The full 3 day course, including breakfast, lunch & networking drinks
$3295 Gold Package: The full 3 day course, including breakfast, lunch & networking drinks | Access to presentations from the latest Data Visualization Summit from the Innovation Enterprise
$3595 Full Access: The full 3 day course, including breakfast, lunch & networking drinks | Annual Subscription to Big Data & Analytics channels via ieOnDemand | 4000+ hours of on-demand presentations & case studies | 40hrs of new content added monthly - ieOnDemand.com
Group Access: We offer generously discounted rates for team bookings, please email firstname.lastname@example.org
The Data Incubators fellowship Data Science was named as on of the "15 Things That Are Harder To Get Into Than Harvard" by Business Insider
About The Data Incubator
The Data Incubator is a Cornell-funded data science training organization. They run an 8-week fellowship that was selected by Business Insider as one of 15 competitive programs in the US with more competitive admissions than Harvard. The Data Incubator was founded in 2014 in New York City by Michael Li, a former Data Scientist at local-mobile-social startup Foursquare and Andreessen Horowitz & Rocket Scientist at NASA. A variety of innovative companies partner with The Data Incubator for their hiring and training needs, including LinkedIn, Genentech, Capital One, Pfizer, and many others.