Data Science For Dummies 3e

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