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Statistics for Data Science and Policy Analysis

This book brings together the best contributions of the Applied Statistics and Policy Analysis Conference 2019. Written by leading;

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Quantitative Social Science

The Stata edition of the groundbreaking textbook on data analysis and statistics for the social sciences and allied fields Quantitative;

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Quantitative Social Science

The Stata edition of the groundbreaking textbook on data analysis and statistics for the social sciences and allied fields Quantitative;

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Quantitative Social Science An Introduction

An introductory textbook on data analysis and statistics written especially for students in the social sciences and allied fields;

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Quantitative Social Science

An introductory textbook on data analysis and statistics written especially for students in the social sciences and allied fields;

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Quantitative Social Science

A tidyverse edition of the acclaimed textbook on data analysis and statistics for the social sciences and allied fields Quantitative;

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Quantitative Social Science

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 for Geography and Environmental Science

Statistics are important tools for validating theory, making predictions and engaging in policy research. They help to provide informed;

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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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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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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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Statistics In Geography & Environmenta

Statistics are important tools for validating theory, making predictions and engaging in policy research. They help to provide informed;

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Advanced Statistics for Kinesiology and Exercise Science

) and regressions analyses, including chapters on: preparing data for analysis; one-way, factorial, and repeated;

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Advanced Statistics for Kinesiology and Exercise Science

) and regressions analyses, including chapters on: preparing data for analysis; one-way, factorial, and repeated-measures ANOVA; analysis;

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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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New Statistical Developments in Data Science

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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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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Statistical Foundations, Reasoning and Inference

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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Data Science

, 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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Statistics and Data Science

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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Introductory Multivariate Statistics for the Environmental Science

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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Beginning Statistics with Data Analysis

, 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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Introduction to Data Science

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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Python For Data Science For Dummies

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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Python for Data Science For Dummies

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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Statistics in MATLAB

analysis. Statistics in MATLAB: A Primer is an ideal reference for undergraduate and graduate students in engineering, mathematics, statistics;

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Statistics in MATLAB

analysis Statistics in MATLAB: A Primer is an ideal reference for undergraduate and graduate students in engineering, mathematics, statistics;

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