Creator: University of Colorado Boulder
Category: Software > Computer Software > Educational Software
Topic: Data Science, Probability and Statistics
Tag: Computer Science, Coursera, Data, information, models
Availability: In stock
Price: USD 99.00
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.
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Learn more about the MS-DS program at https://www.coursera.org/degrees/master-of-science-data-science-boulder.