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DataCamp

Statistical Inference in R

via DataCamp

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Overview

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Familiarize yourself with the core set of skills in statistical inference necessary to understand, interpret, and tune your statistical & machine learning models.

Syllabus

  • Foundations of Inference in R
    • Learn how to draw conclusions about a population from a sample of data via a process known as statistical inference.
  • Inference for Categorical Data in R
    • In this course you'll learn how to leverage statistical techniques for working with categorical data.
  • Inference for Numerical Data in R
    • In this course you'll learn techniques for performing statistical inference on numerical data.
  • Inference for Linear Regression in R
    • In this course you'll learn how to perform inference using linear models.

Taught by

Jo Hardin, Mine Cetinkaya-Rundel, and Andrew Bray

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