Course overview

This is an applied course for data scientists with little-to-no programming experience who wish to harness growing digital and computational resources. The focus of the course is on generating reproducible research using programming languages and version control software. Major emphasis is placed on a pragmatic understanding of core principles of programming and packaged implementations of methods. Students will leave the course with basic computational skills implemented through many computational methods and approaches to data science; while students will not become expert programmers, they will gain the knowledge of how to adapt and expand these skills as they are presented with new questions, methods, and data.

Class meetings

Meeting	Location	Time
Lecture	Upson Hall 206	MW 11:40am - 12:55pm
Discussion	Phillips Hall 203	F 9:05am - 9:55am