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processing (NLP). This guide provides a strong technical foundation for those who want to do practical data science, and also presents;
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in the physical sciences for the first time. It is a practical guide on how to analyse data and estimate errors. The necessary formulas for;
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in the physical sciences for the first time. It is a practical guide on how to analyse data and estimate errors. The necessary formulas for;
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Practical Time Series Analysis for Data Science is an accessible guide that doesn't require a background in calculus to be engaging;
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This book presents digital signal processing theories and methods and their applications in data analysis, error analysis and statistical;
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Data Analysis Methods in Physical Oceanography is a practical reference guide to established and modern data analysis techniques;
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This book is a guide to the practical application of statistics in data analysis as typically encountered in the physical sciences. It;
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for new students and beginners. As well as a basic introduction to the sport science and theory that underlies performance analysis, the book;
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A practical guide to data-intensive humanities research using the Python programming language The use of quantitative methods in the;
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in it. Quantitative Social Science is a practical introduction to data analysis and statistics written especially for undergraduates and;
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in it. Quantitative Social Science is a practical introduction to data analysis and statistics written especially for undergraduates and;
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is a must-read book for learning practical statistics and data analysis...Computing Reviews.com A proven go-to guide for data analysis, Making;
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published Excel 2016 for Physical Sciences Statistics, this book is a step-by-step, exercise-driven guide for students and practitioners who need to;
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and graduate level, and to provide tools for data reduction and error analysis commonly required in the physical sciences. The presentation;
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This textbook offers an easy-to-follow, practical guide to modern data analysis using the programming language R. The chapters cover topics;
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A practical guide for the analysis of longitudinal behavioural data. It addresses a variety of substantive research questions with;
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featured in data analysis and data science. The author- a noted expert in quantitative teaching -has written a quick go-to reference for performing;
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you re new to data analysis or just new to Python, Python for Data Science For Dummies is your practical guide to getting a grip on data;
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reading - How to plan and implement a research project - Data collection, survey research and data management - Practical research techniques;
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that has gained popularity throughout the sciences. This fully updated second edition of A Student's Guide to Python for Physical Modeling aims;
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that has gained popularity throughout the sciences. This fully updated second edition of A Student's Guide to Python for Physical Modeling aims;
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the resources and industry standards for the biological and biomedical sciences * Takes a practical approach to image analysis to assist;
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practical introduction to data analysis and statistics written especially for undergraduates and beginning graduate students in the social sciences;
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practical introduction to data analysis and statistics written especially for undergraduates and beginning graduate students in the social sciences;
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approachable guide describes all the tools needed to collect data and prepare it for analysis. Offering detailed, step-by-step instructions, it covers;
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approachable guide describes all the tools needed to collect data and prepare it for analysis. Offering detailed, step-by-step instructions, it covers;
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is a practical introduction to data analysis and statistics written especially for undergraduates and beginning graduate students in the social;
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