Data Mining: A Practical Beginner’s Guide to Discovering Patterns, Predicting Behavior, and Turning Raw Information Into Insight
Edward Fischer
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Opening Credits
1/14/2026
Chapter 1: Seeing the Invisible What Data Mining Really Does
1/14/2026
Chapter 2: From Clicks to Charts Understanding Data and Where It Comes From
1/14/2026
Chapter 3: Cleaning the Lens Preparing Data for Discovery
1/14/2026
Chapter 4: Teaching Data to Decide Classification and Regression
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Chapter 5: Letting Data Speak for Itself Clustering and Segmentation
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Chapter 6: Shopping Baskets and Hidden Habits Association Rules and Co Occurrence
1/14/2026
Chapter 7: Finding the Odd One Out Anomaly Detection and Risk Flags
1/14/2026
Chapter 8: The Power of Suggestions Recommendation Systems in Everyday Life
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Chapter 9: Knowing What Works Evaluation, Pitfalls, and Ethics
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Chapter 10: Your First Data Mining Journey Tools, Questions, and a Mini Project
1/14/2026
Closing Credits
1/14/2026