Additional Content
Unless otherwise indicated, a grade of C or higher is required for all prerequisite courses.
Introduction to the core concepts of data science, emphasizing inferential thinking, computational thinking, and real-world relevance. Topics include statistical methods such as descriptive statistics, probability, hypothesis testing, confidence intervals, correlation and regression, and introductory machine learning. Computer programming is integrated with data analysis across multiple disciplines while considering the social issues surrounding data analysis such as privacy and design.