Regression and Classification Course
This online data science course will explore concepts in statistical modeling, such as when to use certain models, how to tune those models, and determining whether other options will provide certain trade-offs. We will cover Regression, Classification, Trees, Resampling, Unsupervised techniques, and much more!
In this course, you will learn how to:
- Express why Statistical Learning is important and how it can be used
- Identify the strengths, weaknesses and caveats of different models and choose the most appropriate model for a given statistical problem
- Determine what type of data and problems require supervised vs. unsupervised techniques
This specialization 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. Learn more about the MS-DS program.