Regression and Classification

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

• Explain the importance and applications of statistical learning
• Identify strengths and weaknesses of models and select appropriate ones
• Determine data types and problems for supervised vs. unsupervised methods