Using Excel For Business And Financial Modelling - A Practical Guide, 3Rd Edition (2版)

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【簡介】 A hands-on guide to using Excel in the business contextFirst published in 2012, Using Excel for Business and Financial Modelling contains step-by-step instructions of how to solve common business problems using financial models, including downloadable Excel templates, a list of shortcuts and tons of practical tips and techniques you can apply straight away.Whilst there are many hundreds of tools, features and functions in Excel, this book focuses on the topics most relevant to finance professionals. It covers these features in detail from a practical perspective, but also puts them in context by applying them to practical examples in the real world. Learn to create financial models to help make business decisions whilst applying modelling best practice methodology, tools and techniques.- Provides the perfect mix of practice and theory- Helps you become a DIY Excel modelling specialist- Includes updates for Excel 2019/365 and Excel for Mac- May be used as an accompaniment to the author's online and face-to-face training coursesMany people are often overwhelmed by the hundreds of tools in Excel, and this book gives clarity to the ones you need to know in order to perform your job more efficiently. This book also demystifies the technical, design, logic and financial skills you need for business and financial modelling.

USING SCIENCE IN CYBERSECURITY

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Deploying the scientific method in cybersecurity today is a common-sense approach that is a tough topic in the field of cybersecurity. While most publications in the field emphasize that scientific principles are necessary, there are very few, if any, guides that uncover these principles. This book will give readers practical tools for cybersecurity. It examines the path of developing cybersecurity foundations while taking into account uncertain data. Extensive examples demonstrate how to deploy cybersecurity to sort our day-to-day problems. Using Science in Cybersecurity is intended for advanced undergraduate and graduate students, researchers and practitioners in the fields of cybersecurity, information security, and science of cybersecurity. Sample Chapter(s) Chapter 1: Introduction Request Inspection Copy Contents: Introduction Data in Cybersecurity In Search of Truth Desirable Study Properties Exploratory Data Analysis Sampling in Cybersecurity Designing Structured Observations Data Analysis for Cybersecurity: Goals and Pitfalls DNS Study Network Traffic Study Malware Study Human Factors Readership: Advanced undergraduate and graduate students, researchers and practitioners in the fields of cybersecurity, information security, and science of cybersecurity.