Data Science For Dummies

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

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• Bases de Dados

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