Browse the detailed sheet with complete information, compare prices and find the features of Taylor & Francis Ltd Education Data Management : Principles And Practices, offered at the cost of 163.39 GBP; it classifies in the Books & Magazines category; the sale is managed by Whsmith.co.uk and the production is by Taylor & Francis Ltd.
This timely textbook addresses the growing demand for data-driven decision-making in education while tackling the pressing challenges of privacy, security, and ethical considerations that accompany our increasingly datafied educational environments. The authors establish robust research foundations through open science and FAIR principles, navigate the intricate responsibilities surrounding data privacy and governance, and implement practical infrastructure solutions for managing big data in educational settings.This textbook emphasizes the transformative potential of open science while providing concrete strategies for ensuring data quality, facilitating interoperability, and developing comprehensive data management plans.Applicable sections include hands-on exercises and practical scenarios that ground theoretical knowledge in real-world practice.The book challenges researchers, administrators, and educators to look beyond the big data and reconsider the fundamental concepts of data stewardship with a renewed sense of urgency.
This timely textbook addresses the growing demand for data-driven decision-making in education while tackling the pressing challenges of privacy, secu...
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In a rapidly evolving landscape of educational research, explainable artificial intelligence (XAI) and interpretable machine learning (IML) are emergi...
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Praise for the first edition:“In nine succinct but information-packed chapters, the authors provide a logically structured and robust introduction t...
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Statistical Practice for Data Science: with Hands-on Illustrations using R is a comprehensive guide designed to equip students from diverse fields—e...
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Since the first edition of “Data Science and Analytics with Python” we have witnessed an unprecedented explosion in the interest and development w...
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Spatial Data Science introduces fundamental aspects of spatial data that every data scientist should know before they start working with spatial data....
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Data Management and Digital Infrastructure in Social Sciences shows how to move from raw digital data to usable evidence, with practical guidance on d...
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Data as the Fourth Pillar reasons that data should be considered the fourth pillar of every enterprise, alongside people, processes, and technology.Ai...
Advancing Data Science Education in K-12 offers a highly accessible, research-based treatment of the foundations of data science education and its inc...
Critical Theory and Qualitative Data Analysis in Education offers a path-breaking explanation of how critical theories can be used within the analysis...
Rooted in the idea that education is an open, dynamic system composed of a continuous interchange of components, this eye-opening resource presents a ...
Based on current data, descriptive case studies and theoretical perspectives, Exploring Widening Access for Mature Age Students considers internationa...
Unlike the first edition, the new edition has been split into two books. Thoroughly revised and updated, this is the first book of the second edition ...
Data-driven and AI-aided applications are next-generation technologies that can be used to visualize and realize intelligent transactions in finance, ...
Shipping flows – maritime ‘footprints’ – remain underexplored in the existing literature despite the crucial importance of freight transport f...
This book is intended to serve as a bridge in statistics for graduates and business practitioners interested in using their skills in the area of data...
This book studies different classification, detection, and decision fusion algorithms, and it helps practitioners deal with uncertainty in their data ...
Now in its second edition, Applied Spatial Statistics and Econometrics offers a modern and accessible introduction to spatial data analysis using R.Em...
This book is a multi-stage learning resource that takes readers from basic data handling and software orientation to statistical analysis and financia...
Exploratory Data Analysis Using R provides a classroom-tested introduction to exploratory data analysis (EDA), and this revised edition is accompanied...
Now in its second edition, Applied Spatial Statistics and Econometrics offers a modern and accessible introduction to spatial data analysis using R.Em...
The goals of this new, second edition of this book are to develop the skills and an appreciation for the richness and versatility of modern time serie...
Recognizing the vast potential in analyzing big data through machine learning (ML) and artificial intelligence (AI) technologies, companies are acknow...
This is a book about a modern treatment of panel data econometrics.It focuses on the most recent advances in panel econometrics with Dynamic Panel Dat...
This book analyses the compatibility of data retention in the UK with the European Convention on Human Rights (ECHR).The increase in the use of modern...
This book presents a rigorous and unified treatment of the analysis of high-dimensional data through the lens of distance-based methodology.It synthes...
This book shows how systematic strategic planning (SSP) can be used on real-world projects for professionals at any skill level.It illustrates how thi...
Given their tremendous success in commercial applications, machine learning (ML) models are increasingly being considered as alternatives to science-b...
This textbook intends to be a comprehensive and substantially self-contained two-volume book covering performance, reliability, and availability evalu...
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