Advanced Linear Models for Data Science 2: Statistical Linear Models

This course is part of Advanced Statistics for Data Science Specialization

Instructor: Brian Caffo, PhD

Skills you'll gain

  •   Statistical Analysis
  •   Applied Mathematics
  •   Probability & Statistics
  •   Probability Distribution
  •   R Programming
  •   Regression Analysis
  •   Mathematical Modeling
  •   Integral Calculus
  •   Statistical Modeling
  •   Linear Algebra
  • There are 4 modules in this course

    - 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.

    The multivariate normal distribution

    Distributional results

    Residuals

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