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Inference for Categorical Data in R

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4.9+
21 reviews
Updated 05/2025
In this course you'll learn how to leverage statistical techniques for working with categorical data.
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RProbability & Statistics4 hours14 videos53 Exercises4,000 XP9,834Statement of Accomplishment

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Course Description

Categorical data is all around us. It's in the latest opinion polling numbers, in the data that lead to new breakthroughs in genomics, and in the troves of data that internet companies collect to sell products to you. In this course you'll learn techniques for parsing the signal from the noise; tools for identifying when structure in this data represents interesting phenomena and when it is just random noise.

Prerequisites

Foundations of Inference in R
1

Inference for a single parameter

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2

Proportions: testing and power

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3

Comparing many parameters: independence

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4

Comparing many parameters: goodness of fit

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Inference for Categorical Data in R
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Don’t just take our word for it

*4.9
from 21 reviews
95%
5%
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  • Ruslan
    2 days

  • Gulbanu
    3 days

  • Mai Anh
    4 days

  • Hai
    4 days

  • Phan
    4 days

  • Andrew L
    7 days

    This is an interesting course.

Ruslan

Gulbanu

Mai Anh

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