Data Science For Dummies

ISBN-13: 9781119811558 / Angielski / Miękka / 2021 / 432 str.

Lillian Pierson

Spis treści

Introduction 1Part 1: Getting Started with Data Science 5Chapter 1: Wrapping Your Head Around Data Science 7Chapter 2: Tapping into Critical Aspects of Data Engineering 19Part 2: Using Data Science to Extract Meaning from Your Data 37Chapter 3: Machine Learning Means Using a Machine to Learn from Data 39Chapter 4: Math, Probability, and Statistical Modeling 51Chapter 5: Grouping Your Way into Accurate Predictions 77Chapter 6: Coding Up Data Insights and Decision Engines 103Chapter 7: Generating Insights with Software Applications 137Chapter 8: Telling Powerful Stories with Data 161Part 3: Taking Stock of Your Data Science Capabilities 187Chapter 9: Developing Your Business Acumen 189Chapter 10: Improving Operations 205Chapter 11: Making Marketing Improvements 229Chapter 12: Enabling Improved Decision-Making 245Chapter 13: Decreasing Lending Risk and Fighting Financial Crimes 265Chapter 14: Monetizing Data and Data Science Expertise 275Part 4: Assessing Your Data Science Options 289Chapter 15: Gathering Important Information about Your Company 291Chapter 16: Narrowing In on the Optimal Data Science Use Case 311Chapter 17: Planning for Future Data Science Project Success 327Chapter 18: Blazing a Path to Data Science Career Success 341Part 5: The Part of Tens 367Chapter 19: Ten Phenomenal Resources for Open Data 369Chapter 20: Ten Free or Low-Cost Data Science Tools and Applications 381Index 397

O autorze

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.