2457

Pierson, Lillian,author

xvi, 384 pages illustrations, charts 24 cm

For dummies

Includes index , Includes bibliographical references and index , Part I: Getting Started With Data Science. Chapter 1: Wrapping Your Head around Data Science -- Chapter 2: Exploring Data Engineering Pipelines and Infrastructure -- Chapter 3: Applying Data Science to Business and Industry. Part II: Using Data Science to Extract Meaning from Your Data. Chapter 4: Introducing Probability and Statistics -- Chapter 5: Clustering and Classification -- Chapter 6: Clustering and Classification with Nearest Neighbor -- Chapter 7: Mathematical Modeling in Data Science -- Chapter 8: Modeling Spatial Data with Statistics. Part III: Creating Data Visualizations that Clearly Communicate. Chapter 9: Following the Principles of Data Visualization Design -- Chapter 10: Using D3.js for Data Visualization -- Chapter 11: Web-Based Applications for Visualization Design -- Chapter 12: Exploring Best Practices in Dashboard Design -- Chapter 13: Making Maps from Spatial Data. Part IV: Computing for Data Science. Chapter 14: Using Python for Data Science -- Chapter 15: Using Open Source R for Data Science -- Chapter 16: Using SQL in Data Science -- Chapter 17: Software Applications for Data Science. Part V: Applying Domain Expertise to Solve Real-World Problems. Chapter 18: Using Data Science in Journalism -- Chapter 19: Delving into Environmental Data Science -- Chapter 20: Data Science for Driving Growth in E-Commerce -- Chapter 21: Using Data Science to Describe and Predict Criminal Activity. Part VI: The Part of Tens. Chapter 22: Ten Phenomenal Resources for Open Data -- Chapter 23: Ten (or So) Free Data Science Tools and Applications.

Porway, Jake,