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Experimental Design in R

IntermediateSkill Level
4.6+
116 reviews
Updated 06/2023
In this course you'll learn about basic experimental design, a crucial part of any data analysis.
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RProbability & Statistics4 hours13 videos53 Exercises4,450 XP18,663Statement of Accomplishment

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Course Description

Experimental design is a crucial part of data analysis in any field, whether you work in business, health or tech. If you want to use data to answer a question, you need to design an experiment! In this course you will learn about basic experimental design, including block and factorial designs, and commonly used statistical tests, such as the t-tests and ANOVAs. You will use built-in R data and real world datasets including the CDC NHANES survey, SAT Scores from NY Public Schools, and Lending Club Loan Data. Following the course, you will be able to design and analyze your own experiments!

Prerequisites

Hypothesis Testing in R
1

Introduction to Experimental Design

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2

Basic Experiments

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3

Randomized Complete and Balanced Incomplete Block Designs

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4

Latin Squares, Graeco-Latin Squares, and Factorial Experiments

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Experimental Design in R
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*4.6
from 116 reviews
71%
25%
3%
1%
0%
  • Diego
    about 24 hours

  • Adama
    3 days

  • Louise
    5 days

  • Antônio
    13 days

  • RITESH
    14 days

  • DeShawn
    15 days

Diego

Adama

Antônio

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