Home › Courses › Data Science › Courses › Regression and Classification

Regression and Classification

By Coursera on Coursera · Data Science
Price
Free

About This Course

Introduction to Statistical Learning will explore concepts in statistical modeling, such as when to use certain models, how to tune those models, and if other options will provide certain trade-offs. We will cover Regression, Classification, Trees, Resampling, Unsupervised techniques, and much more! This course can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) degree offered on the Coursera platform. The MS-DS is an interdisciplinary degree that brings together faculty from CU Boulder’s departments of Applied Mathematics, Computer Science, Information Science, and others. With performance-based admissions and no application process, the MS-DS is ideal for individuals with a broad range of undergraduate education and/or professional experience in computer science, information science, mathematics, and statistics. Learn more about the MS-DS program at https://www.coursera.org/degrees/master-of-science-data-science-boulder.

Instructor

James Bird

Frequently Asked Questions

How much does Regression and Classification cost?
Visit the Regression and Classification course page for current pricing and available discounts.
Who teaches Regression and Classification?
Regression and Classification is taught by James Bird, University of Colorado Boulder.
What skill level is Regression and Classification for?
This course is designed for beginner learners.