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Statistical Foundations of Data Science

Provides theoretical insights and justification of the statistical procedures for the analysis of high-dimensional data Presents a general;

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Statistical Foundations, Reasoning and Inference

and data science. The topics covered include likelihood-based inference, Bayesian statistics, regression, statistical tests and the;

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Data Analysis from Statistical Foundations

Data Analysis from Statistical Foundations;

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The Mathematics of Data

Data science is a highly interdisciplinary field, incorporating ideas from applied mathematics, statistics, probability, and computer;

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Doing Data Science in R

This approachable introduction to doing data science in R provides step-by-step advice on using the tools and statistical methods to carry;

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Statistical Methods for Fuzzy Data

Statistical data are not always precise numbers, or vectors, or categories. Real data are frequently what is called fuzzy. Examples where;

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Longitudinal and Panel Data

This focuses on models and data that arise from repeated observations of a cross-section of individuals, households or companies. These;

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Longitudinal and Panel Data

This focuses on models and data that arise from repeated observations of a cross-section of individuals, households or companies. These;

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Statistical Learning and Data Science

new heights of achievement in the incredibly rich data world that we inhabit. Statistical Learning and Data Science is a work;

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Statistical Learning and Data Science

new heights of achievement in the incredibly rich data world that we inhabit. Statistical Learning and Data Science is a work;

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Statistical Data Analytics

Solutions Manual to accompany Statistical Data Analytics: Foundations for Data Mining, Informatics, and Knowledge Discovery A comprehensive;

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Applied Statistics for Environmental Science with R

science and aids researchers in choosing the appropriate statistical technique for analyzing their data. Focusing on the use of univariate and;

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Practical Statistics for Data Scientists

Statistical methods are a key part of data science, yet few data scientists have formal statistical training. Courses and books on basic;

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Statistics for Data Scientists

often miss a rigorous theoretical treatment, this book provides an accessible but thorough introduction into data analysis, using statistical;

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Data Science in Theory and Practice - Techniques for Big Data Analytics and Complex Data Sets

and Practice delivers a comprehensive treatment of the mathematical and statistical models useful for analyzing data sets arising in various;

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Statistical Data Analytics

A comprehensive introduction to statistical methods for data mining and knowledge discovery. Applications of data mining and big data;

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Essential Statistics for Non-STEM Data Analysts

Reinforce your understanding of data science and data analysis from a statistical perspective to extract meaningful insights from your data;

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Statistics And Data Analysis

Introductory statistics book for the non-technical person that integrates the traditional foundations of statistical inference with the;

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Easy Statistics for Food Science with R

of modern statistical packages makes the analysis of data easier than before. The book focuses on the application of statistics and correct methods;

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Handbook of Computational Social Science - Vol 1 & Vol 2

advances in data science, statistical modeling, and machine learning. It covers a range of key issues, including the management of big data;

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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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Open Source Software for Statistical Analysis of Big Data

software programs and how they can successfully analyze statistical data. Open Source Software for Statistical Analysis of Big Data: Emerging;

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Open Source Software for Statistical Analysis of Big Data

software programs and how they can successfully analyze statistical data. Open Source Software for Statistical Analysis of Big Data: Emerging;

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Secrets of Statistical Data Analysis and Management Science!

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Numeric Data Services and Sources for the General Reference Librarian

The proliferation of online access to social science statistical and numeric data sources, such as the U.S. Census Bureau's American Fact;

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Statistical Inference via Data Science: A ModernDive into R and the Tidyverse

Statistical Inference via Data Science: A ModernDive into R and the Tidyverse provides a pathway for learning about statistical inference;

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Statistical Inference via Data Science: A ModernDive into R and the Tidyverse

Statistical Inference via Data Science: A ModernDive into R and the Tidyverse provides a pathway for learning about statistical inference;

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