Workshop: Introduction to the data science life cycle (in Python)

Workshop Overview: This workshop presents an overview of the data science life cycle using the programming language Python, and using the environment Jupyter Notebooks. Using a simple data set, the instructor will walk participants through the different steps of the data science life cycle (e.g., manipulation, plotting, communication, code version control), presenting relevant python packages and representative commands for each step.

This tutorial is designed to help the learner prepare for the larger set of CDSI training offerings on the various specific stages of the data science life cycle.

Prerequisites: 
· Knowledge of file systems and Jupyter Notebooks would be helpful (e.g. from Understanding file systems and Introduction to Python workshops).
· You need to bring your own laptop for this workshop. Install Anaconda on your computer. You can find installation instructions here. Please contact us (cdsi.science [at] mcgill.ca) if you are having trouble with installation.

Location: HYBRID. Online via Zoom, or in-person at Burnside Hall room 1104 (11th floor).
Instructor: Kiwon Lee, Faculty Lecturer, Department of Mathematics & Statistics

Registration: Register Here