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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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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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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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and data science. The topics covered include likelihood-based inference, Bayesian statistics, regression, statistical tests and the;
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This volume collects the extended versions of papers presented at the SIS Conference Statistics and Data Science: new challenges, new;
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This book explores various state-of-the-art aspects behind the statistical analysis of neuroimaging data. It examines the development;
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manner, giving you the confidence to analyses data and complete your own statistical studies.;
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This book explores various state-of-the-art aspects behind the statistical analysis of neuroimaging data. It examines the development;
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This text provides a comprehensive overview of Data Science. With the continued advancement in storage and computing technologies, data;
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Data science is more than just a set of tools and techniques for extracting knowledge from data sets and data streams. Data science is also;
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Reinforce your understanding of data science and data analysis from a statistical perspective to extract meaningful insights from your data;
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, Machine Learning, and Big Data - That You Don't Data Science for Business: Predictive Modeling, Data Mining, Data Analytics, Data Warehousing;
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) and regressions analyses, including chapters on: preparing data for analysis; one-way, factorial, and repeated;
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) and regressions analyses, including chapters on: preparing data for analysis; one-way, factorial, and repeated-measures ANOVA; analysis;
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The Stata edition of the groundbreaking textbook on data analysis and statistics for the social sciences and allied fields Quantitative;
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The Stata edition of the groundbreaking textbook on data analysis and statistics for the social sciences and allied fields Quantitative;
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This book, Data Science: What the Best Data Scientists Know About Data Analytics, Data Mining, Statistics, Machine Learning, and Big Data;
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Probability and Statistics for Data Science: Math + R + Data covers math stat -distributions, expected value, estimation etc.-but takes;
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Probability and Statistics for Data Science: Math + R + Data covers math stat -distributions, expected value, estimation etc.-but takes;
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This book provides an undergraduate introduction to analysing data for data science, computer science, and quantitative social science;
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A Tour of Data Science: Learn R and Python in Parallel covers the fundamentals of data science, including programming, statistics;
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A Tour of Data Science: Learn R and Python in Parallel covers the fundamentals of data science, including programming, statistics;
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Turn yourself into a Data Head. You'll become a more valuable employee and make your organization more successful. Thomas H. Davenport;
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An introductory textbook on data analysis and statistics written especially for students in the social sciences and allied fields;
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An introductory textbook on data analysis and statistics written especially for students in the social sciences and allied fields;
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Both Traditional Students and Working Professionals Acquire the Skills to Analyze Social Problems. Big Data and Social Science: A;
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For courses in introductory statistics. This package includes MyStatLab(TM). The Art and Science of Learning from Data Statistics: The Art;
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