FeaturedUdemy
Analyzing Survey Data in R
4.8(219)15k studentsINTERMEDIATEEnglish
Korshub's take
The Korshub Take
This intermediate R course guides learners through the end-to-end process of survey analysis, from understanding complex sampling designs to visualizing survey results. Working with National Health and Nutrition Examination Survey data, learners model real health metrics using specialized R packages.
Who It's For
R users, statisticians, and researchers who need to analyze survey datasets with non-simple sample designs using tidyverse and survey packages.
Key Takeaways
- Survey Design Structures: Account for clustering, stratification, and weighting in survey dataset analysis.
- Tidyverse & Survey Tooling: Leverage R's survey and tidyverse packages to transform, summarize, and model survey responses.
- Real-World Case Study: Analyze real survey data from the National Health and Nutrition Examination Survey to extract population insights.
About this course
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!
Price
Free
Advertisement
