Stay organized with collections
Save and categorize content based on your preferences.
What's next
Congratulations on finishing this module!
We encourage you to explore the various MLCC modules
at your own pace and interest. If you'd like to follow a recommended order,
we suggest that you move to the following module next:
Datasets, generalization and overfitting.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-08-25 UTC."],[[["\u003cp\u003eTest your understanding of categorical data by taking the quiz and earn a badge upon completion.\u003c/p\u003e\n"],["\u003cp\u003eExplore other Machine Learning Crash Course (MLCC) modules based on your interests or follow the recommended path to learn about datasets, generalization, and overfitting.\u003c/p\u003e\n"]]],[],null,["# Categorical data: Test your knowledge\n\n\u003cbr /\u003e\n\n|\n| Take this quiz to test your categorical data knowledge and earn the Categorical Data badge! \n| [Open quiz](/machine-learning/crash-course/categorical-data/quiz)\n\nWhat's next\n-----------\n\nCongratulations on finishing this module!\n\nWe encourage you to explore the various [MLCC modules](/machine-learning/crash-course)\nat your own pace and interest. If you'd like to follow a recommended order,\nwe suggest that you move to the following module next:\n**[Datasets, generalization and overfitting](/machine-learning/crash-course/overfitting)**.\n\n*** ** * ** ***\n\n[Help Center](https://support.google.com/machinelearningeducation)"]]