This Bash, Python, and git workshop is capped at 35 participants, and is on a first-come/first-served basis.
Make yourself competitive in the job market
Take a personal project to the next level
Learn programming for data analysis
Trained instructors lead a comprehensive, hands-on overview of an introductory data analysis using Python, covering topics like data types, functions, conditional statements, loops, errors and exceptions, debugging, and some key Python libraries and writing Python programs that will work like Linux command-line tools. This workshop is designed to provide a foundation of basic concepts that all programming depends on, using Python as an example.
Monday and Tuesday, November 11 and 12, 2019
8:00 AM Registration | 9:00 AM – 5:00 PM Course Hours, Both Days
Tim Norris, PhD, Research Data Scientist | Cameron Riopelle, PhD, Data Services Librarian
NOTE: Please bring your own laptop (any OS).
Brought to you by the Graduate School, the Center for Cognitive Neuroscience and Aging, UM Libraries, and CCS.