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This book brings together the best contributions of the Applied Statistics and Policy Analysis Conference 2019. Written by leading;
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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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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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A tidyverse edition of the acclaimed textbook on data analysis and statistics for the social sciences and allied fields Quantitative;
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A tidyverse edition of the acclaimed textbook on data analysis and statistics for the social sciences and allied fields Quantitative;
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Statistics are important tools for validating theory, making predictions and engaging in policy research. They help to provide informed;
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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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Reinforce your understanding of data science and data analysis from a statistical perspective to extract meaningful insights from your data;
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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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Statistics are important tools for validating theory, making predictions and engaging in policy research. They help to provide informed;
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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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This book provides an undergraduate introduction to analysing data for data science, computer science, and quantitative social science;
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generations , held in Florence, Italy on June 28-30, 2017. Highlighting the central role of statistics and data analysis methods in the era of Data;
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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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for a two-semester course and is intended for master's students in data science, statistics and computer science with a rudimentary grasp;
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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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numerous advances in the disciplines and their impact on the sciences and society. The topics covered are data analysis, data science, data mining;
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Science is a targeted text for those who are dealing with data collected in the field from environmental sources. Rather than describe in detail;
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, social sciences, biology, and everyday life. The first four chapters present a brief course in exploratory data analysis. The authors place;
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field of data science. The coverage spans key concepts adopted from statistics and machine learning, useful techniques for graph analysis and;
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scientists and combines the best features of Matlab, Mathematica, and R into libraries specific to data analysis and visualization. Python for Data;
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building video games with the PyGame library. Python For Data Science For Dummies is written for people who are new to data analysis, and;
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analysis. Statistics in MATLAB: A Primer is an ideal reference for undergraduate and graduate students in engineering, mathematics, statistics;
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analysis Statistics in MATLAB: A Primer is an ideal reference for undergraduate and graduate students in engineering, mathematics, statistics;
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