Back to Modern Regression Analysis in R
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://www.coursera.org/degrees/master-of-science-data-science-boulder. Logo adapted from photo by Vincent Ledvina on Unsplash

Status: Model Evaluation
Status: Data Modeling
IntermediateCourse45 hours

Featured reviews

DK

5.0Reviewed 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.

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Showing: 10 of 10

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