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Gesamtkatalog

Catalogue complet

In this hands-on guide, Felix Zumstein- creator of xlwings, a popular open source package that allows the automation of Excel with Python-shows experienced Excel users how to integrate these two worlds efficiently.

Zumstein F: Python for Excel

Python for Excel

A Modern Environment for Automation and Data Analysis

Practical Bioinformatics

Discover the AI and data skills you'll need and develop your confidence to succeed in the digital age.

Gain the Confidence You Need to Succeed

Data and AI Skills

Understand the transformative impact of data and artificial intelligence on the global travel and tourism industry and how to leverage these innovations within travel businesses

Leveraging AI, Data and Analytics in Travel

Technology-Led Tourism

U.S. DataBook Series

The Handbook of U.S. Labor Statistics is recognized as an authoritative resource on the U.S. labor force. It continues and enhances the Bureau of Labor Statistics's (BLS) discontinued publication, Labor Statistics. It allows the user to understand recent developments as well as to compare today's economy with that of the past.This publication includes several tables throughout the book examining the extensive effect that coronavirus (COVID-19) has had on the labor market since 2020. In addition, it includes a completely updated chapter on prices and the most current employment projections through 2033.The Handbook is a comprehensive reference providing an abundance of information on a variety of topics. In addition to providing statistics on employment, unemployment, and prices, it includes information on topics such as:<ul><li>Earnings;</li><li>Productivity;</li><li>Consumer expenditures;</li><li>Occupational safety and health;</li><li>Union membership;</li><li>Working poor</li><li>Recent trends in the labor force</li><li>And much more!</li></ul> Features of the publication: In addition to over 215 tables that present practical data, the Handbook provides:<ul><li>Introductory material for each chapter that contains highlights of salient data and figures that call attention to noteworthy trends in the data</li><li>Notes and definitions, which contain concise descriptions of the data sources, concepts, definitions, and methodology from which the data are derived</li><li>References to more comprehensive reports which provide additional data and more extensive descriptions of estimation methods, sampling, and reliability measures</li></ul>

Employment, Earnings, Prices, Productivity, and Other Labor Data

Handbook of U.S. Labor Statistics 2025

Distributed Computing and Intelligent Data Analytics

Develop the skills to stop AI-powered cyberattacks and leverage AI to improve your existing cybersecurity strategies.

Use AI to Protect Your Organization

Artificial Intelligence in Cybersecurity

Data is critical to ensuring the success of any business. A strong data governance programme can help any organization ensure that its data is high-quality, secure and accessible.

Effective Data Governance is a step-by-step guide for mid to senior data professionals to design a simplified data governance programme that meet the needs of their organization. Covering all of the processes, roles, standards and metrics to ensure the effective and efficient use of data within an organization, data governance is essential for every business. Beginning with an explanation of the importance of data governance and its challenges, this book covers how to plan your data governance approach, build a data governance framework and write a tailored data governance policy.

This book also describes how to setup and identify the key roles and responsibilities connected to data in an organization. It shows you how to identify the right process, resolve data quality issues, manage data risk and controls and track your progress. With real-world examples on how to implement the right type of data governance programme, this actionable guide is the key to the successful use of data.

Design a Framework that Works for Your Organization

Effective Data Governance

Python Automation For Dummies

As data is the most important asset for any organization, it is essential to apply analytics to fulfill the sustainability needs of any organization. This book aims to provide a context for data analytics for the sustainability of organizations demonstrating innovation across a few specific subject areas with detailed coverage. It highlights how data analytics enables organizations to create intelligence by exploring opportunities and overcoming challenges, both present and future.Data Science: Semantic Technology, Intelligent Data Analytics, and Sustainability Practice is packed with up-to-date examples and data, ensuring it's both meaningful and practical for a diverse audience. It begins with an introduction to data analytics in the context of sustainable development. Each chapter explores the different aspects of data analytics for sustainability, utilizing a state-of-the-art context that is easy to grasp. Key concepts are presented through clear explanations, making them accessible to all readers. At the end of each chapter, is a summary of the main points, allowing for quick reviews of the essential ideas. It provides practical insights into applying data analytics concepts towards sustainable development, empowering readers to enhance their decision-making abilities, and discusses a strategic approach aligned with the vision for 2030 and beyond while addressing the anticipated challenges.This resource provides support to researchers, scholars, technology practitioners, business analysts, data scientists, and industry professionals worldwide, promoting globalization and enabling real-life application of findings in their organizations.

Semantic Technology, Intelligent Data Analytics, and Sustainability Practices

Data Science

... für Dummies

Microsoft hat Windows 11 und seine Microsoft 365-Anwendungen mit KI-Power ausgestattet! Der in die Apps integrierte Copilot wird im Nu zur Unterstützung in Ihrem Arbeitsalltag. Chris Minnick zeigt Ihnen anschaulich, wie Sie Copilot-freundliche Prompts schreiben oder einsprechen, die Ergebnisausgabe verbessern und wie Sie Copilot-Funktionen im Projektmanagement und in anderen Aufgaben und Bereichen anwenden. Sie lernen, den Microsoft Copilot an Ihre individuellen Bedürfnisse und Anforderungen anzupassen und mit Plug-Ins die Funktionalität des Copilot zu erweitern.

Microsoft Copilot für Dummies

Python for Excel

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