DATSC 101Introduction to Data Science

This introductory data science course provides a comprehensive foundation in statistical reasoning, computational thinking, and mathematical modelling as it relates to data-driven decision-making. Students will learn to acquire, manage, analyze, and interpret diverse types of data using modern programming tools. Through hands-on projects involving real-world datasets from a variety of domains, students will develop skills in data wrangling, visualization, pattern discovery, and predictive modelling. Emphasis is placed on reproducible workflows, ethical considerations like privacy, and effective communication of data-driven insights. Designed for beginners, the course equips students to address complex, modern problems using the tools and concepts of data science.