Data Analytics for the Social Sciences, Garson, G. David
Автор: Trevor Hastie; Robert Tibshirani; Jerome Friedman Название: The Elements of Statistical Learning ISBN: 0387848576 ISBN-13(EAN): 9780387848570 Издательство: Springer Рейтинг: Цена: 10061.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This major new edition features many topics not covered in the original, including graphical models, random forests, and ensemble methods. As before, it covers the conceptual framework for statistical data in our rapidly expanding computerized world.
Автор: Frick, Theodore W. Myers, Rodney D. Dagli, Cesur Barrett, Andrew F. Название: Innovative learning analytics for evaluating instruction ISBN: 103200018X ISBN-13(EAN): 9781032000183 Издательство: Taylor&Francis Рейтинг: Цена: 7961.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Innovative Learning Analytics for Evaluating Instruction covers the application of a forward-thinking research methodology that uses big data to evaluate the effectiveness of online instruction. Analysis of Patterns in Time (APT) is a practical analytic approach that finds meaningful patterns in massive data sets, capturing temporal maps of students’ learning journeys by combining qualitative and quantitative methods. Offering conceptual and research overviews, design principles, historical examples, and more, this book demonstrates how APT can yield strong, easily generalizable empirical evidence through big data; help students succeed in their learning journeys; and document the extraordinary effectiveness of First Principles of Instruction. It is an ideal resource for faculty and professionals in instructional design, learning engineering, online learning, program evaluation, and research methods.
Автор: Vowels Susan, Leaming Goldberg Katherine Название: Teaching Data Analytics: Pedagogy and Program Design ISBN: 1032091894 ISBN-13(EAN): 9781032091891 Издательство: Taylor&Francis Рейтинг: Цена: 7654.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Geared towards educators interested in developing curriculum related to data analytics. Contains best practices for individual courses and program development.
Автор: Paczkowski Walter R. Название: Business Analytics: Data Science for Business Problems ISBN: 3030870227 ISBN-13(EAN): 9783030870225 Издательство: Springer Рейтинг: Цена: 10366.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book focuses on three core knowledge requirements for effective and thorough data analysis for solving business problems. This volume will be useful to business data analysts, data scientists, and market research professionals, as well as aspiring practitioners in business data analytics.
Описание: From Data to Decisions in Music Education Research provides a structured and hands-on approach to working with empirical data in the context of music education research.
Описание: This book investigates the role of data mining in computational statistics for machine learning. It offers applications that can be used in various domains and examines the role of transformation functions in optimizing problem statements.
Автор: Roy Sudipta, Goyal Lalit Mohan, Mittal Mamta Название: Advanced Prognostic Predictive Modelling in Healthcare Data Analytics ISBN: 9811605408 ISBN-13(EAN): 9789811605406 Издательство: Springer Рейтинг: Цена: 21953.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book discusses major technical advancements and research findings in the field of prognostic modelling in healthcare image and data analysis.
Автор: Ghatak Название: People Analytics ISBN: 9811938725 ISBN-13(EAN): 9789811938726 Издательство: Springer Рейтинг: Цена: 6707.00 р. Наличие на складе: Нет в наличии.
Описание: This book is an exploration of the people analytics possibility, bringing out both theoretical frameworks and detailed practical case studies from the author's experience in industry and business across both sides of the table, with an understanding of data science models and SMAC (Social, Mobile & Cloud) technologies underpinning it. It further explores and lays out a business case for why organizations need to invest behind this space and why HR functions and businesses need to embrace and adopt it. The book examines how people analytics makes a difference to business, describes stages of adoption and maturity models for its effective deployment in organizations and explores the journey from employee master data management and conversion to reporting and visualizations to dash-boarding and descriptive analytics, operational analytics to finally predictive modelling. The book provides insights on the impact of big data and social networks on HR and talent frameworks and the opportunity for HR to mine these networks with a view to culling out predictive insights for the business. It also describes in great detail the specific applications of people and talent analytics through case examples. The book discusses and makes the case for HR to be metric driven focused on business outcomes. It enumerates upon “lead” and “lag” indicators and the need to leverage relevant measurement systems. It provides an understanding of relevant statistical tools that could be deployed to mine key insights from the data to enable robust decision-making, and examines the power of “visual intelligence” and data representation that goes beyond traditional tools like Excel. This book is for HR practitioners who seek to challenge the status quo. It does so by helping them leverage a data and evidence based approach; asking the right questions and building new capabilities with a view towards leading change and driving transformation both in their domain, the wider business and the larger organization. The book is also useful for HRM students to gain a deep understanding of “people analytics” as a critical sub-domain within HR. “HR is not just about people but now also about Tech, Data and Analytics. Upgrading numerical/analytics skills in order to have greater impact on the business, is the new wave of HR, which Rahul helps address via his own rich experience.” - Gurprriet Siingh, Managing Director, Russell Reynolds Associates, Mumbai, India. “This book would help HR & Leadership Teams find a way of discarding perceptions and uncovering truth by embracing data patterns as opposed to just continuing with incremental changes to how it has always been. This is particularly so of successful organizations.” - Vikas Gupta, Divisional Chief Executive Officer, Education and Stationery Products Business, ITC Limited, Gurugram, India.
Автор: Laha Название: Applied Advanced Analytics ISBN: 9813366583 ISBN-13(EAN): 9789813366589 Издательство: Springer Рейтинг: Цена: 20733.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book covers several new areas in the growing field of analytics with some innovative applications in different business contexts, and consists of selected presentations at the 6th IIMA International Conference on Advanced Data Analysis, Business Analytics and Intelligence.
Автор: Tolulope, Afolabi Ibukun Название: Data science and analytics for smes ISBN: 1484286693 ISBN-13(EAN): 9781484286692 Издательство: Springer Рейтинг: Цена: 4634.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Master the tricks and techniques of business analytics consulting, specifically applicable to small-to-medium businesses (SMEs). Written to help you hone your business analytics skills, this book applies data science techniques to help solve problems and improve upon many aspects of a business' operations. SMEs are looking for ways to use data science and analytics, and this need is becoming increasingly pressing with the ongoing digital revolution. The topics covered in the books will help to provide the knowledge leverage needed for implementing data science in small business. The demand of small business for data analytics are in conjunction with the growing number of freelance data science consulting opportunities; hence this book will provide insight on how to navigate this new terrain. This book uses a do-it-yourself approach to analytics and introduces tools that are easily available online and are non-programming based. Data science will allow SMEs to understand their customer loyalty, market segmentation, sales and revenue increase etc. more clearly. Data Science and Analytics for SMEs is particularly focused on small businesses and explores the analytics and data that can help them succeed further in their business. What You'll Learn * Create and measure the success of their analytics project * Start your business analytics consulting career * Use solutions taught in the book in practical uses cases and problems Who This Book Is For Business analytics enthusiasts who are not particularly programming inclined, small business owners and data science consultants, data science and business students, and SME (small-to-medium enterprise) analysts
Описание: This new textbook focuses on how data and analytics can be used to help inform organisational decision-making across the business by complementing human judgement.
Taking a highly practical approach, it covers major use cases for analytics across different business areas, including marketing analytics, HR analytics, operational analytics and financial analytics. This concise and readable book grounds discussion in the fundamentals of data, analytics and data visualisation, and in an understanding of the legal and ethical responsibilities that come with working with data.
Key features include: • Analytics in Practice vignettes show how data and analytics have been applied in real organisations • Video interviews with industry professionals bring examples to life • A running case study and accompanying dataset allow you to apply what you have learnt
Suitable for undergraduate and postgraduate students studying business analytics.
Mary Ellen Gordon is Senior Professional Teaching Fellow/Senior Lecturer in the School of Information Systems at the Victoria University of Wellington, New Zealand.
Автор: Mougiakou Название: Educational Data Analytics for Teachers and School Leaders ISBN: 3031152689 ISBN-13(EAN): 9783031152689 Издательство: Springer Рейтинг: Цена: 4877.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Educational Data Analytics (EDA) have been attributed with significant benefits for enhancing on-demand personalized educational support of individual learners as well as reflective course (re)design for achieving more authentic teaching, learning and assessment experiences integrated into real work-oriented tasks. This open access textbook is a tutorial for developing, practicing and self-assessing core competences on educational data analytics for digital teaching and learning. It combines theoretical knowledge on core issues related to collecting, analyzing, interpreting and using educational data, including ethics and privacy concerns. The textbook provides questions and teaching materials/ learning activities as quiz tests of multiple types of questions, added after each section, related to the topic studied or the video(s) referenced. These activities reproduce real-life contexts by using a suitable use case scenario (storytelling), encouraging learners to link theory with practice; self-assessed assignments enabling learners to apply their attained knowledge and acquired competences on EDL. By studying this book, you will know where to locate useful educational data in different sources and understand their limitations; know the basics for managing educational data to make them useful; understand relevant methods; and be able to use relevant tools; know the basics for organising, analysing, interpreting and presenting learner-generated data within their learning context, understand relevant learning analytics methods and be able to use relevant learning analytics tools; know the basics for analysing and interpreting educational data to facilitate educational decision making, including course and curricula design, understand relevant teaching analytics methods and be able to use relevant teaching analytics tools; understand issues related with educational data ethics and privacy. This book is intended for school leaders and teachers engaged in blended (using the flipped classroom model) and online (during COVID-19 crisis and beyond) teaching and learning; e-learning professionals (such as, instructional designers and e-tutors) of online and blended courses; instructional technologists; researchers as well as undergraduate and postgraduate university students studying education, educational technology and relevant fields.
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