Data Science For Dummies (eBook)

Lillian Pierson is the CEO of Data-Mania, where she supports data professionals in transforming into world-class leaders and entrepreneurs. She has trained well over one million individuals on the topics of AI and data science. Lillian has assisted global leaders in IT, government, media organizations, and nonprofits.

Introduction 1

Part 1: Getting Started with Data Science 5

Chapter 1: Wrapping Your Head Around Data Science 7

Chapter 2: Tapping into Critical Aspects of Data Engineering 19

Part 2: Using Data Science to Extract Meaning from Your Data 37

Chapter 3: Machine Learning Means Using a Machine to Learn from Data 39

Chapter 4: Math, Probability, and Statistical Modeling 51

Chapter 5: Grouping Your Way into Accurate Predictions 77

Chapter 6: Coding Up Data Insights and Decision Engines 103

Chapter 7: Generating Insights with Software Applications 137

Chapter 8: Telling Powerful Stories with Data 161

Part 3: Taking Stock of Your Data Science Capabilities 187

Chapter 9: Developing Your Business Acumen 189

Chapter 10: Improving Operations 205

Chapter 11: Making Marketing Improvements 229

Chapter 12: Enabling Improved Decision-Making 245

Chapter 13: Decreasing Lending Risk and Fighting Financial Crimes 265

Chapter 14: Monetizing Data and Data Science Expertise 275

Part 4: Assessing Your Data Science Options 289

Chapter 15: Gathering Important Information about Your Company 291

Chapter 16: Narrowing In on the Optimal Data Science Use Case 311

Chapter 17: Planning for Future Data Science Project Success 327

Chapter 18: Blazing a Path to Data Science Career Success 341

Part 5: The Part of Tens 367

Chapter 19: Ten Phenomenal Resources for Open Data 369

Chapter 20: Ten Free or Low-Cost Data Science Tools and Applications 381

Index 397