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Course

Analyzing Survey Data in R

Intermediate

4.8+

Updated 05/2025

Learn survey design using common design structures followed by visualizing and analyzing survey results.

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RProbability & Statistics4 hours14 videos49 Exercises3,950 XP14,019Statement of Accomplishment

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Course Description

You've taken a survey (or 1000) before, right? Have you ever wondered what goes into designing a survey and how survey responses are turned into actionable insights? Of course you have! In Analyzing Survey Data in R, you will work with surveys from A to Z, starting with common survey design structures, such as clustering and stratification, and will continue through to visualizing and analyzing survey results. You will model survey data from the National Health and Nutrition Examination Survey using R's survey and tidyverse packages. Following the course, you will be able to successfully interpret survey results and finally find the answers to life's burning questions!

Prerequisites

Introduction to the Tidyverse Foundations of Inference in R

1

Introduction to survey data

What are survey weights?

Survey weights

Visualizing the weights

Specifying elements of the design in R

Designs in R

Stratified designs in R

Cluster designs in R

Comparing survey weights of different designs

Visualizing the impact of survey weights

NHANES weights

Tying it all together!

2

Exploring categorical data

Visualizing a categorical variable

Summarizing a categorical variable

Interpreting frequency tables

Graphing a categorical variable

Exploring two categorical variables

Creating contingency tables

Building segments bar graphs

Summarizing with svytotal()

Interpreting svymean()

Inference for categorical variables

Running a chi squared test

Tying it all together!

3

Exploring quantitative data

Summarizing quantitative data

Survey statistics

Estimating quantiles

Visualizing quantitative data

Bar plots of survey-weighted means

Output of svyby()

Bar plots with error

Survey-weighted histograms

Survey-weighted density plots

Inference for quantitative data

Survey-weighted t-test

Tying it all together!

4

Modeling quantitative data

Visualization with scatter plots

Bubble plots

Survey-weighted scatter plots

Use of color in scatter plots

Visualizing trends

Line of best fit

Trend lines

Modeling survey data

Regression model

Regression inference

More complex modeling

Multiple linear regression

Tying it all together

Analyzing Survey Data in R

Course
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*4.8

from 56 reviews

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Top reviews

Mushtaq

1 day

This course provides a solid introduction to analyzing complex survey data using R. The hands-on exercises, especially with survey and srvyr packages, helped me understand how to properly account for survey weights and design. I appreciated the focus on both visualization and modeling techniques, and the step-by-step guidance made even advanced topics like survey-weighted regression accessible. Highly recommended for anyone working with population-based datasets like NHANES.

MUHAMMAD ALI

2 days

thank you

Md Aminul Islam

2 days

Victor

3 days

David

2 days

Ugo

3 days

"thank you"

MUHAMMAD ALI

Md Aminul Islam

Victor

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