Overview
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Learn how to use tidymodels tools for handling model coefficients and their intervals in this 32-minute tutorial. Explore linear modeling techniques to analyze expenditures on collegiate sports using #TidyTuesday data. Follow along as the instructor demonstrates data filtering, reordering, and analysis, as well as modeling with standard errors and intervals. Gain insights into the structure of sports data and how to draw meaningful conclusions from it. Access the accompanying code on the instructor's blog for further practice and implementation.
Syllabus
Introduction
Overview
Sports
Data Structure
Filter Data
Reordering Data
Analyzing Data
Modeling
Standard errors
Intervals
Conclusion
Taught by
Julia Silge