Preface Part I. The Data Science Lifecycle 1.The Data Science Lifecycle 2.Questions and Data Scope 3.Simulation and Data Design 4.Modeling with Summary Statistics 5.Case Study: Why Is My Bus Always Late Part II. Rectangular Data 6.Working with Dataframes Using pandas 7.Working with Relations Using SQL Part III. Understanding The Data 8.Wrangling Files 9.Wrangling Dataframes 10.Exploratory Data Analysis 11.Data Visualization 12.Case Study: How Accurate Are Air Quality Measurements Part IV. Other Data Sources 13.Working with Text 14.Data Exchange Part V. Linear Modeling 15.Linear Models 16.Model Selection 17.Theory for Inference and Prediction 18.Case Study: How to Weigh a Donkey Part VI. Classification Additional Material Data Sources Index
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