This document outlines the topics that will be covered in a course on data science with Python. It includes sections on Python basics, data science basics, statistics, algorithms and analysis, and contact information. Some of the main topics that will be covered include data types in Python, conditional statements and loops, descriptive statistics, linear and logistic regression, decision trees, support vector machines, and principal component analysis. The course is intended to teach students the skills needed for a career in data science.