課程概述
This course will provide a set of foundational statistical modeling tools for data science. In particular, students will be introduced to methods, theory, and applications of linear statistical models, covering the topics of parameter estimation, residual diagnostics, goodness of fit, and various strategies for variable selection and model comparison. Attention will also be given to the misuse of statistical models and ethical implications of such misuse.
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.
Logo adapted from photo by Vincent Ledvina on Unsplash
篩選依據：
1 - Modern Regression Analysis in R 的 7 個評論（共 7 個）
創建者 Michael B
•2021年8月16日
創建者 Najib B
•2021年10月1日
創建者 Hidetake T
•2022年9月25日
創建者 sina m
•2022年8月12日
創建者 Patrick
•2022年8月17日
創建者 Steve W
•2022年2月13日
創建者 David S
•2022年4月12日
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