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Gesamtkatalog

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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

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

Practical Bioinformatics

Mathematical Methods, Econometrics, and Data Science

Discrete Choice Models

Business Lessons from Henry David Thoreau

Walden for Hire

A Path to Sustainable Development Goals

AI and ML Techniques in IoT-based Communication

Manage the complexity of AI in any organization with this actionable guide to operationalizing AI governance, navigating regulatory challenges and future-proofing systems.

Building a Program for Strategy and Oversight

Practical AI Governance

Work In Progress

Become Resilient

Breathe, Then Go Again

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

Calculus for the Curious

Python for Excel

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