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Data Data Everywhere Bringing All the Data Together for Continuous School Improvement

Data Data Everywhere Bringing All the Data Together for Continuous School Improvement

The latest book from best-selling author Victoria L. Bernhardt is an easy-to-read primer that describes what it takes to achieve student learning growth at every grade level in every subject area and with every student group. In this new edition readers will learn how to use data to inform their continuous school improvement as they develop an appreciation of the various types of data uses for data and how data are involved in the process. This accessible updated edition provides a wealth of straightforward and accessible strategies that will allow educators to become comfortable with the many uses of data in increasing student improvement. Data Data Everywhere 2nd edition provides a framework and summary of the continuous school improvement framework. It is a perfect resource for teachers administrators support staff and students of leadership to guide comprehensive school improvement that will make a difference for all students. | Data Data Everywhere Bringing All the Data Together for Continuous School Improvement

GBP 105.00
1

The Data Book Collection and Management of Research Data

The Data Book Collection and Management of Research Data

The Data Book: Collection and Management of Research Data is the first practical book written for researchers and research team members covering how to collect and manage data for research. The book covers basic types of data and fundamentals of how data grow move and change over time. Focusing on pre-publication data collection and handling the text illustrates use of these key concepts to match data collection and management methods to a particular study in essence making good decisions about data. The first section of the book defines data introduces fundamental types of data that bear on methodology to collect and manage them and covers data management planning and research reproducibility. The second section covers basic principles of and options for data collection and processing emphasizing error resistance and traceability. The third section focuses on managing the data collection and processing stages of research such that quality is consistent and ultimately capable of supporting conclusions drawn from data. The final section of the book covers principles of data security sharing and archival. This book will help graduate students and researchers systematically identify and implement appropriate data collection and handling methods. | The Data Book Collection and Management of Research Data

GBP 44.99
1

Data + Journalism A Story-Driven Approach to Learning Data Reporting

Data + Journalism A Story-Driven Approach to Learning Data Reporting

Taking a hands-on and holistic approach to data Data + Journalism provides a complete guide to reporting data-driven stories. This book offers insights into data journalism from a global perspective including datasets and interviews with data journalists from countries around the world. Emphasized by examples drawn from frequently updated sets of open data posted by authoritative sources like the FBI Eurostat and the US Census Bureau the authors take a deep dive into data journalism’s heavy lifting – searching for scraping and cleaning data. Combined with exercises video training supplements and lists of tools and resources at the end of each chapter readers will learn not just how to crunch numbers but also how to put a human face to data resulting in compelling story-driven news stories based on solid analysis. Written by two experienced journalists and data journalism teachers Data + Journalism is essential reading for students instructors and early career professionals seeking a comprehensive introduction to data journalism skills. | Data + Journalism A Story-Driven Approach to Learning Data Reporting

GBP 32.99
1

Temporal Data Mining

Temporal Data Mining

Temporal data mining deals with the harvesting of useful information from temporal data. New initiatives in health care and business organizations have increased the importance of temporal information in data today. From basic data mining concepts to state-of-the-art advances Temporal Data Mining covers the theory of this subject as well as its application in a variety of fields. It discusses the incorporation of temporality in databases as well as temporal data representation similarity computation data classification clustering pattern discovery and prediction. The book also explores the use of temporal data mining in medicine and biomedical informatics business and industrial applications web usage mining and spatiotemporal data mining. Along with various state-of-the-art algorithms each chapter includes detailed references and short descriptions of relevant algorithms and techniques described in other references. In the appendices the author explains how data mining fits the overall goal of an organization and how these data can be interpreted for the purpose of characterizing a population. She also provides programs written in the Java language that implement some of the algorithms presented in the first chapter. Check out the author's blog at http://theophanomitsa. wordpress. com/

GBP 59.99
1

Social Data Analytics

Social Data Analytics

This book is an introduction to social data analytics along with its challenges and opportunities in the age of Big Data and Artificial Intelligence. It focuses primarily on concepts techniques and methods for organizing curating processing analyzing and visualizing big social data: from text to image and video analytics. It provides novel techniques in storytelling with social data to facilitate the knowledge and fact discovery. The book covers a large body of knowledge that will help practitioners and researchers in understanding the underlying concepts problems methods tools and techniques involved in modern social data analytics. It also provides real-world applications of social data analytics including: Sales and Marketing Influence Maximization Situational Awareness customer success and Segmentation and performance analysis of the industry. It provides a deep knowledge in social data analytics by comprehensively classifying the current state of research by describing in-depth techniques and methods and by highlighting future research directions. Lecturers will find a wealth of material to choose from for a variety of courses ranging from undergraduate courses in data science to graduate courses in data analytics.

GBP 145.00
1

Data Science for Water Utilities Data as a Source of Value

Data Science for Water Utilities Data as a Source of Value

This addition to the Data Science Series introduces the principles of data science and the R language to the singular needs of water professionals. The book provides unique data and examples relevant to managing water utility and is sourced from the author’s extensive experience. Data Science for Water Utilities: Data as a Source of Value is an applied practical guide that shows water professionals how to use data science to solve urban water management problems. Content develops through four case studies. The first looks at analysing water quality to ensure public health. The second considers customer feedback. The third case study introduces smart meter data. The guide flows easily from basic principles through code that with each case study increases in complexity. The last case study analyses data using basic machine learning. Readers will be familiar with analysing data but do not need coding experience to use this book. The title will be essential reading for anyone seeking a practical introduction to data science and creating value with R. | Data Science for Water Utilities Data as a Source of Value

GBP 44.99
1

Data Analytics in Football Positional Data Collection Modelling and Analysis

Data Analytics in Football Positional Data Collection Modelling and Analysis

Data Analytics in Football provides students researchers and coaches with a firm grounding in the principles of modern performance analysis. It offers an insight into the use of positional data exploring how they can be collected modeled analyzed and interpreted. Introducing cutting-edge methods the book challenges long-held assumptions and encourages a new way of thinking about football analysis. The book seeks to define the role of positional data in football match analysis by exploring topics such as the following: What is positional data analysis and how did it emerge from conventional match analysis? How can positional data be collected and which technologies can be used? What key performance indicators based on positional data should be used? How can traditional match analysis be complemented by using positional data and advanced KPIs? How can these new methods evolve in the future? Based on data collected from active leagues and fully revised for the new second edition the text now also examines data collection in relation to other sports how a data-driven approach in decision-making is achieved by professional teams the potential of the new methods of data collection and how they could evolve in the future. Accessibly written packed full of examples from elite football and supplemented with expert interviews Data Analytics in Football is a thought-provoking rigorously evidence-based guide to the use of data analytics in football performance analysis. As such it is a vital resource for any student researcher or coach interested in performance analysis and skill acquisition or anyone interested in football more generally. | Data Analytics in Football Positional Data Collection Modelling and Analysis

GBP 36.99
1

K4G Data Recovery Case

K4G Data Recovery Case

Introducing the K4G Data Recovery Case – Safeguard Your Business with Resilient Data Solutions!Empower your business continuity with the K4G Data Recovery Case, a thoughtfully curated selection of advanced data recovery solutions designed to ensure the security and integrity of your critical information. From accidental deletions to unexpected hardware failures, this case brings together top-tier data recovery tools to fortify your data resilience.Explore a suite of renowned data recovery software, including:EaseUS Data Recovery WizardDisk DrillWondershare RecoveritRecuva ProfessionalR-StudioOntrack EasyRecoveryStellar Data RecoveryAcronis ReviveMiniTool Power Data RecoveryProsoft Data Rescueand many, many more!Elevate your data protection strategy by harnessing the power of these trusted data recovery solutions. The K4G Data Recovery Case provides a comprehensive toolkit, ensuring quick and effective recovery, minimizing downtime, and safeguarding your business-critical information.That's not all!Got a software you already own? Return it & get another one! - With the K4G Purchase Protection or as a VIP member, you can return the software and receive a refund in K4G Balance. We understand that preferences vary, and our commitment is to ensure you get the software that suits your needs. Don't let compatibility concerns hold you back – return and try out another software to find the perfect fit for your digital defense strategy.Order now and experience the transformative power of the K4G Data Recovery Case – where innovation meets practicality in securing your business data!

GBP 3.04
1

Data Analytics in Football Positional Data Collection Modelling and Analysis

Data Analytics in Football Positional Data Collection Modelling and Analysis

Data Analytics in Football provides students researchers and coaches with a firm grounding in the principles of modern performance analysis. It offers an insight into the use of positional data exploring how it can be collected modelled analysed and interpreted. Introducing cutting-edge methods the book challenges long-held assumptions and encourages a new way of thinking about football analysis. Based on data collected from the German Bundesliga and the UEFA Champions League the book seeks to define the role of positional data in football match analysis by exploring topics such as: What is positional data analysis and how did it emerge from conventional match analysis? How can positional data be collected and which technologies can be used? What are the benefits of a data-driven approach to decision making in football? What Key Performance Indicators based on positional data should be used? How can traditional match analysis be complemented by using positional data and advanced KPIs? How can these new methods evolve in the future? Accessibly written packed full of examples from elite football and supplemented with expert interviews (Ralf Rangnick Urs Siegenthaler and others) Data Analytics in Football is a thought-provoking rigorously evidence-based guide to the use of data analytics in football performance analysis. As such it is a vital resource for any student researcher or coach interested in performance analysis and skill acquisition or anyone interested in football more generally. | Data Analytics in Football Positional Data Collection Modelling and Analysis

GBP 36.99
1