English | 2021 | ISBN: 0367676273 | 385 pages | True PDF | 24.56 MB
Data science is an emerging field and innovations in it need to be explored for the success of society 5.0. This book not only focuses on the practical applications of data science to achieve computational excellence, but also digs deep into the issues and implications of intelligent systems.
This book highlights innovations in data science to achieve computational excellence that can optimize performance of smart applications. The book focuses on methodologies, framework, design issues, tools, architectures, and technologies necessary to develop and understand data science and its emerging applications in the present era.

Data Mining and Business Analytics with R
pdf | 31.51 MB | English | Isbn:‎ 978-1118447147 | Author: Johannes Ledolter | Year: 2013

English | 2020 | ISBN: 1780174594 | 161 pages | True (PDF EPUB) | 13.56 MB
Data is an increasingly important business asset and enabler for organisational activities. Data quality is a key aspect of data management and failure to understand it increases organisational risk and decreases efficiency and profitability.
This book explains data quality management in practical terms, focusing on three key areas - the nature of data in enterprises, the purpose and scope of data quality management, and implementing a data quality management system, in line with ISO 8000-61.

Journalism, Data and Technology in Latin America by Ramón Salaverría
English | PDF | 2021 | 295 Pages | ISBN : 3030658597 | 3.6 MB
"Latin American journalism is currently experiencing some important transformations, with potential changes to how news is produced, shared, financed and consumed. This book provides a comprehensive overview of current journalism in Latin America, contextualized by global literature and regional empirical evidence. It is an important addition to our understanding of digital journalism and a must-read for those interested in journalism in Latin America."

English | 2021 | ISBN: 1492087831 | 277 pages | True PDF | 7.63 MB
Data pipelines are the foundation for success in data analytics. Moving data from numerous diverse sources and transforming it to provide context is the difference between having data and actually gaining value from it. This pocket reference defines data pipelines and explains how they work in today's modern data stack.
You'll learn common considerations and key decision points when implementing pipelines, such as batch versus streaming data ingestion and build versus buy. This book addresses the most common decisions made by data professionals and discusses foundational concepts that apply to open source frameworks, commercial products, and homegrown solutions.

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 814 MB | Duration: 1h 33m
Welcome to this course on Data Visualization with Microsoft Power BI. Here you will learn various concepts related to Business Intelligence, Data Analytics, Storytelling and finding Data Insights on a Dataset. You can use a variety of data sources for creating visualization charts and dashboard such as Excel, csv, pdf, live web data, database, cloud services and much more. Power BI is one of the leading Business Intelligence software available and has an ever increasing adoption across the world in various industries. It could be used by the organizations that have some or humungous amount of data points that can be used to analyze trends, outliers, hidden factors, point of actions, key performance indicators, point of concern and much more. In simple terms, Power BI could be used by Data Scientists, Analysts and Storytellers to find critical insights for taking important business decisions. There could be various other use cases where Power BI can be used to solve problems and applied to simplify things.

Patterns Identification and Data Mining in Weather and Climate (Springer Atmospheric Sciences) by Abdelwaheb Hannachi
2021 | ISBN: 3030670724 | English | 624 pages | PDF | 20.6 MB
Advances in computer power and observing systems has led to the generation and accumulation of large scale weather & climate data begging for exploration and analysis. Pattern Identification and Data Mining in Weather and Climate presents, from different perspectives, most available, novel and conventional, approaches used to analyze multivariate time series in climate science to identify patterns of variability, teleconnections, and reduce dimensionality. The book discusses different methods to identify patterns of spatiotemporal fields. The book also presents machine learning with a particular focus on the main methods used in climate science. Applications to atmospheric and oceanographic data are also presented and discussed in most chapters. To help guide students and beginners in the field of weather & climate data analysis, basic Matlab skeleton codes are given is some chapters, complemented with a list of software links toward the end of the text. A number of technical appendices are also provided, making the text particularly suitable for didactic purposes.

English | 2021 | ISBN: 1492094056 | 387 pages | True PDF | 8.48 MB
Give your organization the data protection it deserves without the uncertainty and cost overruns experienced by your predecessors or other companies. System and network administrators have their work cut out for them to protect physical and virtual machines in the data center and the cloud; mobile devices including laptops and tablets; SaaS services like Microsoft 365, Google Workspace, and Salesforce; and persistent data created by Kubernetes and container workloads.
To help you navigate the breadth and depth of this challenge, this book presents several solutions so you can determine which is right for your company. You'll learn the unique requirements that each workload presents, then explore various categories of commercial backup hardware, software, and services available to protect these data sources, including the advantages and disadvantages of each approach.

English | 2021 | ISBN: 1492086002 | 474 pages | True PDF | 74.92 MB
Tell your story and show it with data, using free and easy-to-learn tools on the web. This introductory book teaches you how to design interactive charts and customized maps for your website, beginning with simple drag-and-drop tools such as Google Sheets, Datawrapper, and Tableau Public. You'll also gradually learn how to edit open source code templates like Chart.js, Highcharts, and Leaflet on GitHub.
Hands-On Data Visualizationtakes you step-by-step through tutorials, real-world examples, and online resources. This practical guide is ideal for students, nonprofit organizations, small business owners, local governments, journalists, academics, and anyone who wants to take data out of spreadsheets and turn it into lively interactive stories. No coding experience is required.

Geostatistics with Data of Different Support Applied to Mining Engineering
English | 2022 | ISBN: 3030801926 | 84 Pages | PDF | 4.21 MB
This book explains the integration of data of different support in Geostatistics. There is a common misconception in the mining industry that the data used for estimation/simulation should have the same size or support. However, Geostatistics provides the tools to integrate several types of information that may have different support. This book aims to explain these geostatistical tools and provides several examples of applications. The book is directed for a broad audience, including engineers, geologists, and students in the area of Geostatistics.