Discovering Data Science in the Age of AI

Catalog description

Data science is a relatively new discipline that is radically reshaping our world. This course is a one-semester tour of data science highlights for non-majors. Specifically, the course will start with brief introductions to programming in Python, basic probability and statistics, and causal inference. We will then see examples of how these tools are applied in various real-world contexts. There is no assumed background in either math or programming. The lectures for this course will focus on covering conceptual aspects of the tools of data science and demonstrations of how data science can be used. The associated laboratory sections will focus specifically on direct application of what is being learned in lectures using Python code, with guided demonstrations by the section leader(s). Restrictions: not open to students who are enrolled in, or have completed for credit, DS-UA 111 and/or 112; not open to students who have declared: the major and minor in Data Science; the major in Computer and Data Science; or the major in Data Science and Mathematics. This course does NOT count toward the requirements of these majors and minors.