Introduction to Python for Data Analysis

This workshop guides attendees from basic programming structures/syntax to the manipulation and analysis of data in Python. It is designed for those with minimal or no prior exposure to Python or programming in general, though all levels are welcome. Day one focuses on foundational knowledge, including variable types and their usage, conditional statements, and loops. Day two extends this knowledge to the manipulation of data using Python packages NumPy and pandas. Last, day three applies knowledge from previous days to data visualization (via the matplotlib package) and fitting statistical models (via the statsmodels package). The statistical analyses covered include independent samples t-tests, correlation, and linear regression. A basic working knowledge of these statistical methods is assumed. Short exercises will be provided after each day, serving as building blocks for a final project. A digital credential is provided upon the successful completion of this project. Detailed instructions on how to install Python and required software will be sent to attendees in advance.