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
评价“Data Science For Dummies”