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Data Science For Dummies

ISBN: 978-1-118-84152-5
408 pages
February 2015
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Foreword xv

Introduction 1

Part I: Getting Started With Data Science 5

Chapter 1: Wrapping Your Head around Data Science 7

Chapter 2: Exploring Data Engineering Pipelines and Infrastructure 17

Chapter 3: Applying Data Science to Business and Industry 33

Part II: Using Data Science to Extract Meaning from Your Data 47

Chapter 4: Introducing Probability and Statistics 49

Chapter 5: Clustering and Classification 73

Chapter 6: Clustering and Classification with Nearest Neighbor Algorithms 87

Chapter 7: Mathematical Modeling in Data Science 99

Chapter 8: Modeling Spatial Data with Statistics 113

Part III: Creating Data Visualizations that Clearly Communicate Meaning 129

Chapter 9: Following the Principles of Data Visualization Design 131

Chapter 10: Using D3.js for Data Visualization 157

Chapter 11: Web-Based Applications for Visualization Design 171

Chapter 12: Exploring Best Practices in Dashboard Design 189

Chapter 13: Making Maps from Spatial Data 195

Part IV: Computing for Data Science 215

Chapter 14: Using Python for Data Science 217

Chapter 15: Using Open Source R for Data Science 239

Chapter 16: Using SQL in Data Science 255

Chapter 17: Software Applications for Data Science 267

Part V: Applying Domain Expertise to Solve Real-World Problems Using Data Science 279

Chapter 18: Using Data Science in Journalism 281

Chapter 19: Delving into Environmental Data Science 299

Chapter 20: Data Science for Driving Growth in E-Commerce 311

Chapter 21: Using Data Science to Describe and Predict Criminal Activity 327

Part VI: The Part of Tens 337

Chapter 22: Ten Phenomenal Resources for Open Data 339

Chapter 23: Ten (or So) Free Data Science Tools and Applications 351

Index 365

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