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Advanced Linear Models for Data Science 2: Statistical Linear Models

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Advanced Linear Models for Data Science 2: Statistical Linear Models
Johns Hopkins University Online Course Highlights
  • weeks long
  • 7-10 hours per week
  • Learn for FREE, Ugpradable
  • Self-Paced
  • Taught by: Brian Caffo, PhD, Professor, Biostatistics
  • View Course Syllabus

Online Course Details:

Welcome to the Advanced Linear Models for Data Science Class 2: Statistical Linear Models. This class is an introduction to least squares from a linear algebraic and mathematical perspective. Before beginning the class make sure that you have the following:
– A basic understanding of linear algebra and multivariate calculus.
– A basic understanding of statistics and regression models.
– At least a little familiarity with proof based mathematics.
– Basic knowledge of the R programming language.

After taking this course, students will have a firm foundation in a linear algebraic treatment of regression modeling. This will greatly augment applied data scientists’ general understanding of regression models.

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