Tag: Analytics

Assessment Analytics in Education Designs, Methods and Solutions


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English | ISBN: 3031563646 | 2024 | 426 pages | PDF | 18 MB
This book is about the current state of research in online assessment. The growth of this field is set to accelerate exponentially with emerging opportunities for automatic data collection and analysis. Yet, the future of online assessment faces major challenges including, perhaps most importantly, the extent to which assessments, when enabled by technology, can serve simultaneously the needs of learners, teachers and those of the enterprise of education. This book details, specifically, the multiple ways in which online assessment can be utilized, such as:

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Ultimate Java for Data Analytics and Machine Learning


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English | 2024 | ASIN : B0DCK2G71W | 362 Pages | PDF EPUB | 13.3 MB
The middle section of the book dives deeper into statistical techniques like descriptive analysis and random sampling, along with practical skills in working with relational databases (JDBC, SQL, MySQL) and NoSQL databases. It also explores various analysis methods like regression, classification, and clustering, along with applications in business intelligence and time series prediction.

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Statistics for Data Science and Analytics


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English | 2025 | ISBN: 139425380X | 355 Pages | PDF, EPUB (True) | 31 MB
Statistics for Data Science and Analytics is a comprehensive guide to statistical analysis using Python, presenting important topics useful for data science such as prediction, correlation, and data exploration. The authors provide an introduction to statistical science and big data, as well as an overview of Python data structures and operations.

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SAP Analytics Cloud für Dummies


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Deutsch | 2024 | ISBN: 352772057X | 449 Pages | EPUB (True) | 123 MB
Dieses Buch ist Ihnen eine große Hilfe, wenn Sie sich mit SAP Analytics Cloud beschäftigen wollen oder müssen. Die Fachleute Klaus Freyburger und Karsten Oehler erklären Ihnen die Grundideen der SAP Analytics Cloud. Sie erläutern das Wichtigste zum Navigieren in der Anwendung, zur Datenmodellierung und -integration, zu Stories und Reporting, Planung, Administration und vielem mehr. Anhand zahlreicher Fallstudien werden Sie Schritt für Schritt durch die wesentlichen Konzepte geführt und können diese im System umsetzen.

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Prescriptive Analytics


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English | 2024 | ISBN: 3031593529 | 282 Pages | PDF EPUB (True) | 77 MB
This book combines the quantitative decision-informing techniques of management science and operations research with the data-centric techniques found throughout the world of analytics. The material uses only standard Excel spreadsheet features and functions for creating models. Using a step-by-step approach, readers learn a unified architecture for sensitivity, scenario, simulation, decision, and optimization analysis. Spreadsheets with numerous support visual, hands-on learning (and provide some surprising innovations). Special influence diagrams and non-intimidating but accurate terminology help explain the logic of the models and calculations. Well-structured chapters include guideposts, enrichment, and curated links to valuable external resources. Readers are encouraged to own their learning and think about future trajectories for themselves and the field. This book helps all readers quickly learn tools and concepts to use right away and to expand throughout a career.

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Predictive Analytics for Business using R


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English | 2025 | ISBN: 9811293775 | 464 Pages | PDF (True) | 14 MB
The fields of mathematical statistics, statistical graphics, computer science and operations research have created the rich set of methods now called Analytics. Often analytics is characterized along three poles: descriptive analytics (what do data tell us), predictive analytics (what can be forecast based on the data, and with what certainty), and prescriptive analytics (how can the data inform changes to improve system performance).

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Machine Learning Approaches in Financial Analytics


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English | 2024 | ISBN: 3031610369 | 503 Pages | PDF EPUB (True) | 46 MB
This book addresses the growing need for a comprehensive guide to the application of machine learning in financial analytics. It offers a valuable resource for both beginners and experienced professionals in finance and data science by covering the theoretical foundations, practical implementations, ethical considerations, and future trends in the field. It bridges the gap between theory and practice, providing readers with the tools and knowledge they need to leverage the power of machine learning in the financial sector responsibly.

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Fandom Analytics Creating and Harnessing Consumer and Cultural Passion


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English | 2024 | ISBN: 3031659244 | 274 Pages | PDF EPUB (True) | 5 MB
The success of modern sports, entertainment, political, and other cultural categories is driven by organizations’ ability to create and manage fandom. This book explores fandom from a marketing perspective providing a multidisciplinary framework for understanding, measuring, and growing fandom. It provides a fandom analytics framework for creating and managing fandom and identifies the macro forces (technology, demographics, etc.) that are changing fandom’s structure and societal role. The book goes beyond understanding the foundations of fandom by demonstrating how marketing tools may be employed to value and manage fandom assets. It is designed for existing and new generations of sports and entertainment professionals, as well as scholars, students, and academics interested in sports and entertainment marketing and analytics.

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Advances in Data Analytics for Influencer Marketing


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English | 2024 | ISBN: 3031657268 | 447 Pages | PDF EPUB (True) | 35 MB
In the ever-evolving landscape of digital marketing, influencer marketing has emerged as a game-changer, captivating audiences and driving brand engagement like never before. However, success in this dynamic field requires more than just intuition―it demands a mastery of data analytics and an interdisciplinary approach. Introducing this groundbreaking book equips marketers, analysts, and business leaders with the tools and strategies to navigate the complexities of influencer marketing with precision and confidence. Written by leading experts in the field, this comprehensive book explores the intersection of data analytics, consumer behavior, and influencer marketing, offering a holistic perspective on this powerful marketing technique. This book equips the readers with the knowledge and tools to stay ahead of the curve and drive unparalleled success in the ever-evolving world of influencer marketing.

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