Discover the fascinating world of data analysis with our extensive collection of free books in PDF format.
From advanced techniques to basic introductions, you’ll find everything you need to expand your knowledge in data analysis.
Data analysis is a discipline that allows you to extract valuable information from datasets, revealing patterns, trends, and correlations.
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You will learn about statistical methods, visualization tools, and modeling techniques that will help you make informed decisions and make the most of the data at your disposal.
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Books on Data Analysis in PDF
Data Analysis in the Psychological Sciences: A Practical, Applied, Multimedia Approach
Leyre Castro, J. Toby Mordkoff
Data Analysis in the Psychological Sciences: A Practical, Applied, Multimedia Approach is a practical textbook that introduces statistical analysis of psychological data. It covers topics such as statistics, managing data, descriptive statistics, statistical software (Excel and R), correlational analysis, and linear regression.Social Data Analysis
Mikaila Mariel Lemonik Arthur and Roger Clark
Social Data Analysis by Mikaila Mariel Lemonik Arthur and Roger Clark provides an overview of both qualitative and quantitative approaches to data analysis. The book covers topics such as data preparation, univariate and bivariate analysis, hypothesis testing, multivariate analysis, correlation and regression, qualitative data analysis, and more.Open Data Structures: An Introduction
Pat Morin
Open Data Structures: An Introduction is a comprehensive guide to data structures in computer science. It covers various topics such as interfaces, mathematical background, array-based lists, linked lists, skiplists, and more. The book provides insights into efficient data organization and manipulation.Advanced Data Analysis from an Elementary Point of View
Cosma Rohilla Shalizi
Advanced Data Analysis from an Elementary Point of View provides a comprehensive guide to regression analysis, model evaluation, smoothing techniques, simulation, bootstrap, logistic regression, splines, and other advanced topics in data analysis. It covers essential concepts and techniques for understanding and analyzing data.Mathematical Foundations for Data Analysis
Jeff M. Phillips
Mathematical Foundations for Data Analysis by Jeff M. Phillips is a self-contained course book that introduces fundamental principles and techniques for modern data analysis. It covers key conceptual tools, basic techniques in supervised and unsupervised learning, and topics like concentration of measure, cross-validation, gradient descent, principal component analysis, and graphs.Here ends our selection of free Data Analysis books in PDF format. We hope you liked it and already have your next book!
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