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University of Colorado Boulder

Modern Regression Analysis in R

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://hua.dididi.sbs/degrees/master-of-science-data-science-boulder. Logo adapted from photo by Vincent Ledvina on Unsplash

状态:Model Evaluation
状态:Data Modeling
中级课程小时

精选评论

DK

5.0评论日期:Apr 29, 2024

A lot of work with several peer reviews, but it get you into R for Regression Analysis. Well laid out course. need knowledge of Linear algrebra for this course.

所有审阅

显示:10/10

David Severson
1.0
评论日期:Apr 12, 2022
Michael Boerrigter
5.0
评论日期:Aug 16, 2021
Derek Alan Kirsch
5.0
评论日期:Apr 30, 2024
Steve Wilson
2.0
评论日期:Feb 13, 2022
matt terry
1.0
评论日期:Mar 4, 2026
Najib
5.0
评论日期:Oct 1, 2021
Edgar Oswaldo Leyva Cruz
5.0
评论日期:Jun 3, 2023
Hidetake Takahashi
5.0
评论日期:Sep 25, 2022
sina mokhtar
5.0
评论日期:Aug 11, 2022
Patrick
4.0
评论日期:Aug 17, 2022