Data driven discovery is playing an increasingly important role in the Natural Sciences, Social Sciences and Humanities. To help position graduate students to participate in such discovery, SAS is offering a 5-day introductory boot camp for programming in Python. Python is one of the main languages used in modern machine learning and data analysis. This hands-on boot camp will assume no prior programming experience and will introduce students to basic Python code and applications to various elements of data analysis and inference. The latter part will include an introduction to machine learning. An optional 2-day session on machine learning the following week will also be offered that covers the core concepts for machine learning where participants will explore programs that can be changed when exposed to new data.

Who should attend: Penn graduate students in the natural sciences, social sciences and humanities.

Learning objectives: Provide a basic introduction to Python programming and applications to various elements of data analysis and inference.

Registration: Free to Penn graduate students in SAS. Must commit to attending all sessions. Register by July 1, 2019

Instruction team: Dillon Brout (lead instructor), Cyrille Doux, Sara Casella, Jeni Stiso.

Boot Camp Daily Schedule - Aug 12-16:
9:00-12:00 Instruction/guided Learning
12:00-1:00 Lunch Break
1:00-3:00 Project-based Learning

Machine Learning Mini-Session - August 19 & 20, 9:00-3:00

Sponsored by: School of Arts & Sciences Office of the Dean, MindCORE, and Penn Center for Particle Cosmology

Registrations are closed

SAS Summer Boot Camp: Introduction to Python for Data Science