Bases, introduction

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Skills You'll Learn

Statistics, Linear Regression, R Programming, Linear Algebra

Reviews

4.4 (168 ratings)

  • 5 stars
    60.11%
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    26.78%
  • 3 stars
    8.33%
  • 2 stars
    3.57%
  • 1 star
    1.19%

SP

Apr 29, 2017

Good mathematical rigour for the analysis of linear models. Builds some good intuition for the geometry of least squares which helps in model result interpretation.

HM

Jun 11, 2016

As the name says it's an advanced course. Take the challenge though! In my opinion the content is a must if you want to perform competently in data science.

From the lesson

Bases and residuals

Here we give a very useful kind of linear model, that is decomposing a signal into a basis expansion.

Taught By

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    Brian Caffo, PhD

    Professor, Biostatistics

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