Data Visualization Techniques Course
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Data Visualization Techniques Course
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Author : Brian Smith
language : en
Publisher: THE PUBLISHER
Release Date :
Data Visualization Techniques Course written by Brian Smith and has been published by THE PUBLISHER this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
This book, "Data Visualization Techniques," provides a comprehensive guide to understanding and utilizing various methods of data visualization. The core objective is to teach readers how to effectively represent data through visual elements, enabling them to discover patterns, trends, and insights. The book covers the importance of data visualization, different types of visualizations, and the fundamentals of choosing the right chart and color theory. It also explores popular data visualization tools and software, data analysis techniques, and interactive visualization design. Additionally, the book delves into narrative techniques for data storytelling, geospatial data visualization, time series visualization, dashboards and reporting, and best practices for effective visualization. With real-world case studies and a focus on ethical considerations, this book aims to equip readers with the skills needed to create compelling and insightful visualizations in a range of fields, from business intelligence to social sciences.
Data Visualization
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Author : S. Margret Anouncia
language : en
Publisher: Springer Nature
Release Date : 2020-03-03
Data Visualization written by S. Margret Anouncia and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-03-03 with Computers categories.
This book discusses the recent trends and developments in the fields of information processing and information visualization. In view of the increasing amount of data, there is a need to develop visualization techniques to make that data easily understandable. Presenting such approaches from various disciplines, this book serves as a useful resource for graduates.
Visualizations And Dashboards For Learning Analytics
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Author : Muhittin Sahin
language : en
Publisher: Springer Nature
Release Date : 2021-12-16
Visualizations And Dashboards For Learning Analytics written by Muhittin Sahin and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-16 with Education categories.
This edited volume fills the gaps in existing literature on visualization and dashboard design for learning analytics. To do so, it presents critical tips to stakeholders and acts as guide to efficient implementation. The book covers the following topics: visualization and dashboard design for learning analytics, visualization and dashboard preferences of stakeholders, learners’ patterns on the dashboard, usability of visualization techniques and the dashboard, dashboard and intervention design, learning and instructional design for learning analytics, privacy and security issues about the dashboard, and future directions of visualization and dashboard design. This book will be of interest to researchers with interest in learning analytics and data analytics, teachers and students in higher education institutions and instructional designers, as it includes contributions from a wide variety of educational and psychological researchers, engineers, instructional designers, learning scientists, and computer scientists interested in learning analytics.
Data Visualization
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Author : Alexandru C. Telea
language : en
Publisher: CRC Press
Release Date : 2014-09-18
Data Visualization written by Alexandru C. Telea and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-09-18 with Computers categories.
Designing a complete visualization system involves many subtle decisions. When designing a complex, real-world visualization system, such decisions involve many types of constraints, such as performance, platform (in)dependence, available programming languages and styles, user-interface toolkits, input/output data format constraints, integration with third-party code, and more. Focusing on those techniques and methods with the broadest applicability across fields, the second edition of Data Visualization: Principles and Practice provides a streamlined introduction to various visualization techniques. The book illustrates a wide variety of applications of data visualizations, illustrating the range of problems that can be tackled by such methods, and emphasizes the strong connections between visualization and related disciplines such as imaging and computer graphics. It covers a wide range of sub-topics in data visualization: data representation; visualization of scalar, vector, tensor, and volumetric data; image processing and domain modeling techniques; and information visualization. See What’s New in the Second Edition: Additional visualization algorithms and techniques New examples of combined techniques for diffusion tensor imaging (DTI) visualization, illustrative fiber track rendering, and fiber bundling techniques Additional techniques for point-cloud reconstruction Additional advanced image segmentation algorithms Several important software systems and libraries Algorithmic and software design issues are illustrated throughout by (pseudo)code fragments written in the C++ programming language. Exercises covering the topics discussed in the book, as well as datasets and source code, are also provided as additional online resources.
A First Course In Artificial Intelligence
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Author : Osondu Oguike
language : en
Publisher: Bentham Science Publishers
Release Date : 2021-07-14
A First Course In Artificial Intelligence written by Osondu Oguike and has been published by Bentham Science Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-14 with Computers categories.
The importance of Artificial Intelligence cannot be over-emphasised in current times, where automation is already an integral part of industrial and business processes. A First Course in Artificial Intelligence is a comprehensive textbook for beginners which covers all the fundamentals of Artificial Intelligence. Seven chapters (divided into thirty-three units) introduce the student to key concepts of the discipline in simple language, including expert system, natural language processing, machine learning, machine learning applications, sensory perceptions (computer vision, tactile perception) and robotics. Each chapter provides information in separate units about relevant history, applications, algorithm and programming with relevant case studies and examples. The simplified approach to the subject enables beginners in computer science who have a basic knowledge of Java programming to easily understand the contents. The text also introduces Python programming language basics, with demonstrations of natural language processing. It also introduces readers to the Waikato Environment for Knowledge Analysis (WEKA), as a tool for machine learning. The book is suitable for students and teachers involved in introductory courses in undergraduate and diploma level courses which have appropriate modules on artificial intelligence.
Big Data Analytics Course
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Author : Brian Smith
language : en
Publisher: THE PUBLISHER
Release Date :
Big Data Analytics Course written by Brian Smith and has been published by THE PUBLISHER this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
In "The Big Data Analytics Course," readers are introduced to the world of big data and its significance in today's digital age. The book covers a wide range of topics, starting with an understanding of big data and its challenges. It then delves into data collection methods and storage technologies, emphasizing data quality and governance. The next section focuses on data processing and analysis, including techniques for preprocessing, analysis, and visualization. Readers are also introduced to popular big data technologies like Hadoop, Spark, and NoSQL databases. The book then explores the application of machine learning in big data, covering both supervised and unsupervised learning. Real-world applications of big data analytics are discussed, including its use in healthcare, finance, and e-commerce. The book also addresses data security and privacy concerns, emphasizing the importance of ethical use and considerations like bias, transparency, and accountability. Other topics covered include data mining and predictive analytics, scalable computing, data governance and management, business intelligence and decision support, IoT and big data, big data in social media, and advanced topics like text analytics, graph analytics, and deep learning for big data. Overall, "The Big Data Analytics Course" provides a comprehensive guide for understanding and utilizing big data analytics in various industries, emphasizing the importance of data-driven decision making and responsible use of data.
Diagrammatic Representation And Inference
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Author : Ahti-Veikko Pietarinen
language : en
Publisher: Springer Nature
Release Date : 2020-08-17
Diagrammatic Representation And Inference written by Ahti-Veikko Pietarinen and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-08-17 with Computers categories.
This book constitutes the refereed proceedings of the 11th International Conference on the Theory and Application of Diagrams, Diagrams 2020, held in Tallinn, Estonia, in August 2020.* The 20 full papers and 16 short papers presented together with 18 posters were carefully reviewed and selected from 82 submissions. The papers are organized in the following topical sections: diagrams in mathematics; diagram design, principles, and classification; reasoning with diagrams; Euler and Venn diagrams; empirical studies and cognition; logic and diagrams; and posters. *The conference was held virtually due to the COVID-19 pandemic. The chapters ‘Modality and Uncertainty in Data Visualization: A Corpus Approach to the Use of Connecting Lines,’ ‘On Effects of Changing Multi-Attribute Table Design on Decision Making: An Eye Tracking Study,’ ‘Truth Graph: A Novel Method for Minimizing Boolean Algebra Expressions by Using Graphs,’ ‘The DNA Framework of Visualization’ and ‘Visualizing Curricula’ are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
Teaching Research Methods In Political Science
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Author : Jeffrey L. Bernstein
language : en
Publisher: Edward Elgar Publishing
Release Date : 2021-06-25
Teaching Research Methods In Political Science written by Jeffrey L. Bernstein and has been published by Edward Elgar Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-25 with Education categories.
Teaching Research Methods in Political Science brings together experienced instructors to offer a range of perspectives on how to teach courses in political science. It focuses on numerous topics, including identifying good research questions, measuring key concepts, writing literature reviews and developing information literacy skills.
English For Business Essential Skills For Career Success
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Author : Mushoffan Prasetianto
language : en
Publisher: Universitas Brawijaya Press
Release Date : 2025-05-01
English For Business Essential Skills For Career Success written by Mushoffan Prasetianto and has been published by Universitas Brawijaya Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-01 with Business & Economics categories.
In the increasingly globalized world of commerce, proficiency in English has become an indispensable asset. Whether negotiating contracts, leading international teams, or simply communicating across borders, the ability to use English effectively can determine the success or failure of business endeavours. This book, "English for Business: Essential Skills for Career Success," is designed to equip people with the language skills necessary to thrive in the modern business landscape. The goal is not only to teach English but to do so in a way that enhances your professional capabilities and confidence. What sets this book apart is its focus on contextual learning. We recognize that the best way to learn a language is to use it in meaningful contexts. "English for Business: Essential Skills for Career Success" is designed for learners at all levels. Each chapter builds upon the last, allowing you to progress at your own pace while ensuring a comprehensive understanding of business English. We believe that by mastering the skills outlined in this book, you will be well-equipped to navigate the complexities of the global business environment and achieve your professional aspirations
Roll With The Times Or The Times Roll Over You
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Author : Beth R. Bernhardt
language : en
Publisher: Purdue University Press
Release Date : 2017-10-15
Roll With The Times Or The Times Roll Over You written by Beth R. Bernhardt and has been published by Purdue University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-10-15 with Language Arts & Disciplines categories.
Over one hundred presentations from the 36th annual Charleston Library Conference (held November 1-5, 2016) are included in this annual proceedings volume. Major themes of the meeting included data visualization, streaming video, analysis and assessment, demand-driven acquisition, and open access publishing. While the Charleston meeting remains a core one for acquisitions librarians in dialog with publishers and vendors, the breadth of coverage of this volume reflects the fact that this conference is now one of the major venues for leaders in the publishing and library communities to shape strategy and prepare for the future. Almost 2,000 delegates attended the 2016 meeting, ranging from the staff of small public library systems to the CEOs of major corporations. This fully indexed, copyedited volume provides a rich source for the latest evidence-based research and lessons from practice in a range of information science fields. Contributors comprise leaders in the library, publishing, and vendor communities.