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An Introduction to Statistical Data Science: Theory and Models

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Statistics for Data Science and Policy Analysis

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Statistical Modeling and Computation (Springer Texts in Statistics)

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Springer Handbook of Engineering Statistics

Math for Data Science

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Recent Trends and Future Challenges in Learning from Data (Studies in Classification, Data Analysis, and Knowledge Organization)

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Mathematical Introduction to Data Science

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Mathematical Problems in Data Science: Theoretical and Practical Methods

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Mastering Data Science with R and SAS: Comprehensive Statistical Modeling and Practical Applications

Permutation Statistical Methods for Criminology and Criminal Justice (Society, Environment and Statistics)

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Statistical Learning in Genetics: An Introduction Using R (Statistics for Biology and Health)

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Data Science and Artificial Intelligence for Digital Healthcare: Communications Technologies for Epidemic Models (Signals and Communication Technology)

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