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Principles of Managerial Statistics and Data Science

Introduces readers to the principles of managerial statistics and data science, with an emphasis on statistical literacy of business;

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Statistical Foundations, Reasoning and Inference

This textbook provides a comprehensive introduction to statistical principles, concepts and methods that are essential in modern statistics;

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Principles and Methods for Data Science

Principles and Methods for Data Science, Volume 43 in the Handbook of Statistics series, highlights new advances in the field, with;

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Data Science from Scratch: First Principles with Python

This is a first-principles-based, practical introduction to the fundamentals of data science aimed at the mathematically-comfortable reader;

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Statistics for Data Scientists

This book provides an undergraduate introduction to analysing data for data science, computer science, and quantitative social science;

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Learning from Data

unified treatment of the principles and methods for learning dependencies from data. It establishes a general conceptual framework in which;

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Practical Business Statistics

maintains, but does not overemphasize mathematical correctness. The book fosters deep understanding of both how to learn from data and how to deal;

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Principles of Data Mining

The first truly interdisciplinary text on data mining, blending the contributions of information science, computer science, and statistics;

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Practical Business Statistics

Practical Business Statistics, Seventh Edition, provides a conceptual, realistic, and matter-of-fact approach to managerial statistics;

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Managerial Statistics

Managerial Statistics by Gerald Keller is an established and worldwide bestselling business statistics text. Packed with examples and real;

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Big Data and Social Science

in statistics, the social sciences, data science, and computer science to teach students how to use modern social science research principles as well as;

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Statistics and Data Science

This book constitutes the proceedings of the Research School on Statistics and Data Science, RSSDS 2019, held in Melbourne, VIC, Australia;

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Data Science for Business and Decision Making

Data Science for Business and Decision Making covers both statistics and operations research while most competing textbooks focus on;

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Principles and Theory for Data Mining and Machine Learning

Extensive treatment of the most up-to-date topics Provides the theory and concepts behind popular and emerging methods Range of topics;

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Practical Statistics for Data Scientists

can reduce bias and yield a higher-quality dataset, even with big data How the principles of experimental design yield definitive answers to;

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Learn R for Applied Statistics

Gain the R programming language fundamentals for doing the applied statistics useful for data exploration and analysis in data science and;

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Data Science from Scratch First Principles with Python

Data science libraries, frameworks, modules, and toolkits are great for doing data science, but they're also a good way to dive into the;

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Statistics for Data Science and Policy Analysis

international experts in the field of statistics, data science and policy evaluation. This book explores the theme of effective policy methods through;

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Register-based Statistics

without any of the costs involved in data collection. Register-based surveys require their own methodology and the development of these methods;

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Introduction to Data Science

principles Introduces Data Wranglin topics such as web scrapping, using regular expressions, and joining and reshaping data tables using the;

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New Statistical Developments in Data Science

This volume collects the extended versions of papers presented at the SIS Conference Statistics and Data Science: new challenges, new;

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Applications of Management Science

envelopment analysis, and managerial applications. Section A focuses on multiple criteria applications in college course scheduling, offshore;

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Introduction to Mathematical Statistics and Its Applications, An

For courses in Mathematical Statistics Introducing the principles of statistics and data modeling Introduction to;

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A Python Data Analyst s Toolkit

Explore the fundamentals of data analysis, and statistics with case studies using Python. This book will show you how to confidently write;

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Applications of Management Science

of management science methodologies, data envelopment analysis and multi-criteria decision making. The first section is focused on data envelopment;

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ISE Principles of Statistics for Engineers and Scientists

Available for the first time in McGraw-Hill's Connect! Principles of Statistics for Engineers and Scientists emphasizes statistical methods;

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Handbook of Neuroimaging Data Analysis

This book explores various state-of-the-art aspects behind the statistical analysis of neuroimaging data. It examines the development;

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