
Data Analysis With AI: A Practical Guide to Turning Raw Data Into Clear Insights Using Modern Machine Learning Tools
Nicholas Bauer
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Opening Credits
1/14/2026
Chapter 1: What AI Data Analysis Really Means
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Chapter 2: Core Concepts Without the Jargon
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Chapter 3: From Vague Idea to Sharp Question
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Chapter 4: Preparing and Cleaning Data for AI Use
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Chapter 5: Exploring Data and Spotting Patterns by Eye
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Chapter 6: Tabular Data: Rows, Columns, and Practical Predictions
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Chapter 7: Making Sense of Text: From Comments to Categories
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Chapter 8: Working with Time: Trends, Seasonality, and Simple Forecasts
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Chapter 9: Conversational AI as Your Analysis Partner
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Chapter 10: From Insight to Impact: Communication, Pitfalls, and Next Steps
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Closing Credits
1/14/2026