Book contents
- Insight-Driven Problem Solving
- Insight-Driven Problem Solving
- Copyright page
- Dedication
- Contents
- Preface
- Introduction
- 1 The Big Picture of Analytics Science
- 2 Artificial Intelligence and Machine Learning
- 3 Queueing Theory and Resource Allocation
- 4 Game Theory and Mechanism Design
- 5 Linear and Nonlinear Mathematical Programming
- 6 Dynamic Programming and Sequential Decision-Making
- 7 Data Analysis
- 8 Graph Theory, Combinatorial Optimization, and Supply Chains
- Acknowledgments
- Notes
- References
- Index
7 - Data Analysis
Published online by Cambridge University Press: aN Invalid Date NaN
Book contents
- Insight-Driven Problem Solving
- Insight-Driven Problem Solving
- Copyright page
- Dedication
- Contents
- Preface
- Introduction
- 1 The Big Picture of Analytics Science
- 2 Artificial Intelligence and Machine Learning
- 3 Queueing Theory and Resource Allocation
- 4 Game Theory and Mechanism Design
- 5 Linear and Nonlinear Mathematical Programming
- 6 Dynamic Programming and Sequential Decision-Making
- 7 Data Analysis
- 8 Graph Theory, Combinatorial Optimization, and Supply Chains
- Acknowledgments
- Notes
- References
- Index
Summary
This chapter is devoted to data analysis and its critical role in analytics science. The reader is introduced to the science of inference from observations and experiments and learns about the main ideas in data analysis that have been influential in addressing societal problems. Real-world examples are used throughout to convey the main ideas and illustrate why data analyses performed without sufficient care can yield wrong insights. Successful examples of insight-driven problem solving approaches in data analysis are contrasted with those that can yield wrong insights, and the reader is taken on an engaging yet educational journey that depicts how and why successful insight-driven problem solving approaches using data can have significant public impact.
Keywords
data sciencedata analysisobservational dataexperimental datasurvivorship biasSimpson’s paradoxBerkson’s paradoxcollider biasnatural experimentsquasi-experimentsinstrumental variablesmatchingmediation analysisstatistical significancep-valuep-hackingDirected Acyclic Graphs (DAGs)back-door adjustmentfront-door adjustment
Information
- Type
- Chapter
- Information
- Insight-Driven Problem SolvingAnalytics Science to Improve the World, pp. 207 - 249Publisher: Cambridge University PressPrint publication year: 2025
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