Data Science for Beginners: A Practical, No-Jargon Guide to Learning Analytics, Python, and Machine Learning from Scratch

Thomas Granger

Master data analytics and machine learning without the overwhelming math or confusing technical jargon. Whether you are upskilling during your morning commute or transitioning into a tech career, this empowering audio experience makes complex concepts...

Premium Chapters

Premium

Opening Credits

1/15/2026

Chapter 1: So What Is Data Science Really

1/15/2026

Chapter 2: Thinking in Data Questions and Datasets

1/15/2026

Chapter 3: Meeting Python Your Friendly Data Assistant

1/15/2026

Chapter 4: Cleaning Messy Data Turning Chaos into Usable Tables

1/15/2026

Chapter 5: Exploring Data with Simple Numbers and Visuals

1/15/2026

Chapter 6: Statistics Without the Scary Symbols

1/15/2026

Chapter 7: Teaching Models to Predict Supervised Learning

1/15/2026

Chapter 8: Finding Hidden Groups Unsupervised Learning

1/15/2026

Chapter 9: Does It Really Work Evaluating Models and Avoiding Traps

1/15/2026

Chapter 10: Your First Projects and How to Keep Learning

1/15/2026

Closing Credits

1/15/2026