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Modeling with Data in the Tidyverse

IntermediateSkill Level
4.9+
86 reviews
Updated 09/2022
Discover different types in data modeling, including for prediction, and learn how to conduct linear regression and model assessment measures in the Tidyverse.
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RProbability & Statistics4 hours17 videos49 Exercises3,900 XP25,294Statement of Accomplishment

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Course Description

In this course, you will learn to model with data. Models attempt to capture the relationship between an outcome variable of interest and a series of explanatory/predictor variables. Such models can be used for both explanatory purposes, e.g. "Does knowing professors' ages help explain their teaching evaluation scores?", and predictive purposes, e.g., "How well can we predict a house's price based on its size and condition?" You will leverage your tidyverse skills to construct and interpret such models. This course centers around the use of linear regression, one of the most commonly-used and easy to understand approaches to modeling. Such modeling and thinking is used in a wide variety of fields, including statistics, causal inference, machine learning, and artificial intelligence.

Prerequisites

Data Manipulation with dplyr
1

Introduction to Modeling

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2

Modeling with Basic Regression

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3

Modeling with Multiple Regression

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4

Model Assessment and Selection

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Modeling with Data in the Tidyverse
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Don’t just take our word for it

*4.9
from 86 reviews
91%
9%
0%
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0%
  • Gabrielle
    3 days

  • Tamish
    11 days

  • Sangeeta
    12 days

  • Galen
    15 days

  • Pia
    19 days

    This course was very helpful. Summed up a a lot of useful information and even helped me understand certain issues that I did not understand taking other classes in Uni

  • MARCO
    22 days

Gabrielle

Tamish

Sangeeta

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