This document outlines the topics covered in a data science course, including introduction to data science, analytics using Excel and statistics, Python programming and visualization, SQL, machine learning, and deep learning. The course covers core data science concepts like linear regression, probability distributions, data visualization with Matplotlib and Pandas, SQL, machine learning algorithms for regression, classification and clustering. It includes over 20 mini projects and full projects for students to apply the concepts learned.