
Data Science Basis: A Practical Audio Guide to Core Concepts, Statistics, and Machine Learning for Absolute Beginners
Robert Stein
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Opening Credits
1/10/2026
Chapter 1: Why Data Science Matters And What It Really Is
1/10/2026
Chapter 2: From Raw Data To Useful Information
1/10/2026
Chapter 3: The Data Science Journey From Question To Insight
1/10/2026
Chapter 4: Seeing The Story In The Numbers Descriptive Statistics
1/10/2026
Chapter 5: Seeing Patterns Data Visualization And Exploration
1/10/2026
Chapter 6: Thinking In Uncertainty Probability And Distributions
1/10/2026
Chapter 7: How Machines Learn The Core Ideas Of Machine Learning
1/10/2026
Chapter 8: Is It Any Good Measuring And Improving Models
1/10/2026
Chapter 9: Data Quality Bias And Doing Data Science Responsibly
1/10/2026
Chapter 10: Working With Data In The Real World And Your Next Ninety Days
1/10/2026
Closing Credits
1/10/2026