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Inference for Categorical Data in R

AdvancedSkill Level
4.9+
40 reviews
Updated 12/2021
In this course you'll learn how to leverage statistical techniques for working with categorical data.
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RProbability & Statistics4 hr14 videos53 Exercises4,000 XP9,931Statement 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 40 reviews
93%
8%
0%
0%
0%
  • Caesar
    11 days

  • Evan
    18 days

    Very good

  • Robert
    23 days

  • Joanna
    about 1 month

  • Lúbar
    about 1 month

    Excellent course.

  • Sofía Teresa
    about 1 month

Caesar

"Very good"

Evan

Joanna

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