About Regression and classification course
In Introduction to Statistical Learning, we'll cover statistical modeling concepts, such as when to use certain models, how to tune those models, and whether other options might make certain tradeoffs. We'll cover regression, classification, trees, sampling, unsupervised methods, and more! This course can be taken for credit toward the CU Boulder Master of Science in Data Science (MS-DS) program offered on Coursera. The MS-DS is an interdisciplinary degree with faculty from CU Boulder's Applied Mathematics, Computer Science, Information Science, and other departments. Based on learning outcomes and requiring no application, the MS-DS program is ideal for individuals with a broad educational background and/or professional experience in computer science, computer science, mathematics, and statistics. Learn more about the MS-DS program at https://www.coursera.org/degrees/master-of-science-data-science-boulder.
