Name: Hierarchical and Mixed Effects Models in R
Brand: DataCamp
SKU: 2014400

Course description

In this course you will learn to fit hierarchical models with random effects.

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Self-Paced Online
Online
English

Training Course Content

This course begins by reviewing slopes and intercepts in linear regressions before moving on to random-effects. You'll learn what a random effect is and how to use one to model your data. Next, the course covers linear mixed-effect regressions. These powerful models will allow you to explore data with a more complicated structure than a standard linear regression. The course then teaches generalized linear mixed-effect regressions. Generalized linear mixed-effects models allow you to model more kinds of data, including binary responses and count data. Lastly, the course goes over repeated-measures analysis as a special case of mixed-effect modeling. This kind of data appears when subjects are followed over time and measurements are collected at intervals. Throughout the course you'll work with real data to answer interesting questions using mixed-effects models.

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DataCamp

DataCamp offers a comprehensive platform for learning data skills, specializing in training individuals and teams in data science, analytics, and AI. With a focus on interactive, hands-on learning, DataCamp provides courses across key programming languages such as Python, R, SQL,...

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Hierarchical and Mixed Effects Models in R

Course description

Upcoming start dates

Start Anytime!

Upcoming start dates

Training Course Content

Why choose DataCamp

DataCamp

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