This practical textbook offers a hands-on introduction to big data analytics, helping you to develop the skills required to hit the ground running as a data professional.
It complements theoretical foundations with an emphasis on the application of big data analytics, illustrated by real-life examples and datasets. Containing comprehensive coverage of all the key topics in this area, this book uses open-source technologies and examples in Python and Apache Spark.
Learning features include:
- Ethics by Design encourages you to consider data ethics at every stage. - Industry Insights facilitate a deeper understanding of the link between what you are studying and how it is applied in industry. - Datasets, questions, and exercises give you the opportunity to apply your learning.
Dr Funmi Obembe is the Head of Technology at the Faculty of Arts, Science and Technology, University of Northampton.
Dr Ofer Engel is a Data Scientist at the University of Groningen.
Автор: Bremer Martina, Doerge Rebecca W. Название: Using R at the Bench: Step-By-Step Data Analytics for Biologists ISBN: 1621821129 ISBN-13(EAN): 9781621821120 Издательство: Неизвестно Рейтинг: Цена: 102690.00 T Наличие на складе: Невозможна поставка. Описание: Using R at the Bench: Step-by-Step Data Analytics for Biologists is a convenient bench-side handbook for biologists, designed as a handy reference guide for elementary and intermediate statistical analyses using the free/public software package known as R. The expectations for biologists to have a more complete understanding of statistics are growing rapidly. New technologies and new areas of science, such as microarrays, next-generation sequencing, and proteomics, have dramatically increased the need for quantitative reasoning among biologists when designing experiments and interpreting results. Even the most routine informatics tools rely on statistical assumptions and methods that need to be appreciated if the scientific results are to be correct, understood, and exploited fully. Although the original Statistics at the Bench is still available for sale and has all examples in Excel, this new book uses the same text and examples in R. A new chapter introduces the basics of R: where to download, how to get started, and some basic commands and resources. There is also a new chapter that explains how to analyze next-generation sequencing data using R (specifically, RNA-Seq). R is powerful statistical software with many specialized packages for biological applications and Using R at the Bench: Step-by-Step Data Analytics for Biologists is an excellent resource for those biologists who want to learn R. This handbook for working scientists provides a simple refresher for those who have forgotten what they once knew and an overview for those wishing to use more quantitative reasoning in their research. Statistical methods, as well as guidelines for the interpretation of results, are explained using simple examples. Throughout the book, examples are accompanied by detailed R commands for easy reference.
Автор: Donald P. Green Название: Social Science Experiments: A Hands-on Introduction ISBN: 1009186965 ISBN-13(EAN): 9781009186964 Издательство: Cambridge Academ Рейтинг: Цена: 25350.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Unlike most social science textbooks on experiments, this book uses non-technical, lively examples and hands-on exercises to engage the reader. The book introduces and illustrates core principles of experimental design and analysis for audiences with no background in statistics or programming.
Автор: Pajo, Bora Название: Introduction to research methods ISBN: 1544391706 ISBN-13(EAN): 9781544391700 Издательство: Sage Publications Рейтинг: Цена: 72870.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The Second Edition of Bora Pajo`s Introduction to Research Methods: A Hands-on Approach continues to make research easy to understand and easy to do by balancing quantitative with qualitative methods in the same clear and compelling prose. Updates include a new chapter on big data, a revamped chapter on qualitative designs, and citations in APA Style 7th Edition.
Автор: Drucker, Johanna, Название: The digital humanities coursebook : ISBN: 0367565757 ISBN-13(EAN): 9780367565756 Издательство: Taylor&Francis Рейтинг: Цена: 38780.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The Digital Humanities Coursebook provides critical frameworks for the application of Digital Humanities tools and platforms, which have become an integral part of work across a wide range of disciplines.
Автор: Burk, Scott , Miner, Gary Название: It`s All Analytics! ISBN: 0367493799 ISBN-13(EAN): 9780367493790 Издательство: Taylor&Francis Рейтинг: Цена: 60220.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book, the first in a series of three, provides a look at the foundations of artificial intelligence and analytics and why readers need an unbiased understanding of the subject.
Автор: Mark Andrews Название: Doing Data Science in R: An Introduction for Social Scientists ISBN: 1526486768 ISBN-13(EAN): 9781526486769 Издательство: Sage Publications Рейтинг: Цена: 167910.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This approachable introduction to doing data science in R provides step-by-step advice on using data science tools and statistical methods to carry out data analysis. Introducing the fundamentals of data science and R before moving into more advanced topics like Multilevel Models and Probabilistic Modelling with Stan, it builds knowledge and skills gradually.
Автор: Bibri Simon Elias Название: Big Data Science and Analytics for Smart Sustainable Urbanism: Unprecedented Paradigmatic Shifts and Practical Advancements ISBN: 3030173143 ISBN-13(EAN): 9783030173142 Издательство: Springer Рейтинг: Цена: 260870.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Introduction: The Evolving Data-Driven Smart Sustainable Approach to Urbanism for Tackling the Challenges of Sustainability and Urbanization.- Smart Sustainable Urbanism and Big Data Computing: A Topical Literature Review.- Conceptual, Theoretical, and Disciplinary Foundations: An Interdisciplinary and Transdisciplinary Perspective.- The Data-Driven Smart Sustainable Paradigm of Urbanism: A Qualitative Analysis of Long-lasting Trends.- The Anatomy of the Data-Driven Smart Sustainable City: Instrumentation, Datafication, Computerization, and Technologization.- Paradigmatic, Scientific, Scholarly, Epistemic, and Discursive Shifts in Light of Big Data Science and Analytics.- On the Unsustainability and Sustainability of Smart Urbanism in the Era of Big Data.- Advancing Sustainable Urbanism Processes: The Key Practical and Analytical Applications of Big Data Computing for Urban Systems and Domains.- The Unfolding and Soaring Data Deluge for Advancing Smart Sustainable Urbanism: Data-Driven Urban Studies and Analytics.- Data-Driven Smart Sustainable Urbanism: Decision-Making, Intelligence Functions, Simulation Models, Optimization Methods, and their Synergy in Complex City Systems.- Towards a Novel Model Integrating the Data-Driven City, the Eco-city, and the Compact City: A Scholarly and Planning Approach to Future Vision Construction.
Автор: Jennifer R. Winquist, Kieth A. Carlson Название: An Introduction to Statistics: An Active Learning Approach ISBN: 1544375093 ISBN-13(EAN): 9781544375090 Издательство: Sage Publications Рейтинг: Цена: 140450.00 T Наличие на складе: Поставка под заказ. Описание: This updated and reorganized Third Edition of this textbook takes a workbook-style approach that encourages an active approach to learning statistics. Carefully placed reading questions throughout each chapter allow students to apply their knowledge right away.
Автор: Mclevey, John Название: Doing computational social science ISBN: 1526468182 ISBN-13(EAN): 9781526468185 Издательство: Sage Publications Рейтинг: Цена: 39060.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Computational approaches offer exciting opportunities for us to do social science differently. This beginner`s guide discusses a range of computational methods and how to use them to study the problems and questions you want to research.
Автор: McLevey John Название: Doing Computational Social Science ISBN: 1526468190 ISBN-13(EAN): 9781526468192 Издательство: Sage Publications Рейтинг: Цена: 381630.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Computational approaches offer exciting opportunities for us to do social science differently. This beginner`s guide discusses a range of computational methods and how to use them to study the problems and questions you want to research.
Автор: Mark Andrews Название: Doing Data Science in R: An Introduction for Social Scientists ISBN: 1526486776 ISBN-13(EAN): 9781526486776 Издательство: Sage Publications Рейтинг: Цена: 54910.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This approachable introduction to doing data science in R provides step-by-step advice on using data science tools and statistical methods to carry out data analysis. Introducing the fundamentals of data science and R before moving into more advanced topics like Multilevel Models and Probabilistic Modelling with Stan, it builds knowledge and skills gradually.
Автор: Nora Webb Williams, Andreu Casas, John D. Wilkerso Название: Images as Data for Social Science Research: An Introduction to Convolutional Neural Nets for Image Classification ISBN: 1108816851 ISBN-13(EAN): 9781108816854 Издательство: Cambridge Academ Рейтинг: Цена: 19010.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Shows how innovation in computer vision methods can markedly lower the costs of using images as data. Introduces readers to deep learning algorithms commonly used for object recognition, facial recognition, and visual sentiment analysis. Provides guidance and instruction for scholars interested in using these methods in their own research.
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