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Alexander M: Excel 2019 Power
Programming with VBA

Excel 2019 Power Programming with VBA

This book includes updated Microsoftª 365ª features and enhanced support for Mac users. The in-depth, case-based approach helps students apply Microsoftª Officeª skills to real-world business scenarios based on Burning Glass market insights while reinforcing critical-thinking and problem-solving skills. Professional tips and insights are incorporated throughout, and ProSkills Boxes help students strengthen their employability skills. Module Learning Objectives are mapped to Microsoftª Officeª Specialist (MOS) certification objectives.

New Perspectives Collection, MicrosoftÂ® 365Â® & ExcelÂ® 2021 Comprehensive

This book introduces modeling real life situations with difference equations, matrices, Markov chains, linear programming, sets, and probability using Excel. An emphasis on the use of graphical and numerical techniques, rather than theoretical one, is utilized to investigate and analyze the behavior of solutions of the mathematical models. The author investigates interesting linear and nonlinear models, models represented by systems of linear and non-linear difference equations, and systems of linear equations from diverse disciplines. Linear optimization models are investigated by utilizing linear programming, sets and counting techniques are introduced and utilized in probability, and probabilistic models are explored. T he models represent real life situations in business, finance, economics, biology, ecology, environment, and the social sciences. The use of computers and cooperative learning techniques are integrated to create an interactive learning environment. and lab time are devoted to discussions on carefully prepared activities where students work in small groups to discuss and reflect on the results of their work. An emphasis on real world problems and computers promotes a conceptual understanding and to motivate students to expand that experience to a host of other real life situations. Readers are guided in this discovery method by exploring concepts and topics in mathematics that are useful and relevant to them. Topical coverage includes an introduction to mathematical modeling; modeling with first-order linear difference equations; modeling with first-order nonlinear difference equations; modeling with matrices and systems of first-order linear difference equations; modeling with systems of nonlinear difference equations; modeling with second-order difference equations; optimization models; sets and counting in modeling; probability models; and the basics of Excel spreadsheets.

Explorations of Mathematical Models in the Management, Life, and Social Sciences with Microsoft Office Excel

Boost your productivity and expand beyond the limits of Microsoft Excel with this Python primer written for users of the ubiquitous spreadsheet software. Excel is a mainstay of the modern workplace, but it isn’t up to every task. Python for Excel Users offers a better way, showing how relatively simple programming can greatly boost productivity by streamlining workflows and adding new tools to the reader’s toolbox - no programming experience required. Uses include: <ul><li>Generating beautiful data visualizations</li><li>Creating interactive reports and dashboards</li><li>Tracking collaborative projects</li></ul> This book leverages what readers already know about Excel to introduce useful coding applications. Practical examples illustrate how programming skills can be immediately applied to the reader’s day-to-day work.

Boost Productivity Without Becoming a Programmer

Python for Excel Users

Routledge International Handbooks

This is a prestige reference work offering a comprehensive overview of the state of current knowledge and emerging scholarship in the discipline of AIS. It has been updated to capture the changes in technology since the previous edition, including chapters on artificial intelligence, predictive analytics and data visualisation.

The Routledge Handbook of Accounting Information Systems

Classifying and Fixing Dirty Data

Between the Spreadsheets

Textbooks in Mathematics

This text presents a wide variety of common and new types of models. Sections begin with a general description of the scenario being modeled. The model is built using the appropriate tools. Then it is implemented and analyzed. Students are tasked to modify or refine the existing model, analyze it further, or adapt it to similar scenarios.

Mathematical Modeling with Excel

In Mathematical Methods for Physics using Microsoft EXCEL, readers will investigate topics from classical to quantum mechanics, which are often omitted from the course work. Some of these topics include rocket propulsion, Rutherford scattering, and boundary value problems and associated special functions as orthonormal bases

Mathematical Methods for Physics using Microsoft EXCEL

Get into the nitty gritty of Excel, the all-important spreadsheet tool Microsoft 365 Excel All-in-One For Dummies offers an all-new way to tackle data in Excel. Start with the basics of inputting, formatting, and organizing data and work your way to pro techniques that help with any career field or reason for using the app. Gain the skills to apply advanced formulas and functions, create stunning data visualizations, build dashboards and reports, and automate your spreadsheets. You'll also get a glimpse into how AI tools can boost your work. Eight mini-books come together in this expanded Excel reference. With Microsoft 365 Excel All-in-One For Dummies, you'll soon be the go-to Excel guru in your office or school. <ul> <li>Learn the basics of Excel-organizing data, performing calculations, and formatting your spreadsheet.</li> <li>Use functions to handle advanced math and financial analysis.</li> <li>Create data visualizations and summaries to help tell your story</li> <li>Apply basic programming skills using VBA</li> </ul> This book is perfect for professionals or students who need to up their Excel game with insight from pros who know the classic spreadsheet app inside and out.

Microsoft 365 Excel All-in-One For Dummies

This book is designed to equip students to navigate through MS Excel and basic data computation methods, which are essential tools in research or professional settings and in classrooms.

It illustrates the concepts used in research and data analysis and economic and financial decision-making in business and in daily life. The book will help students acquire knowledge and develop skills in statistical techniques and financial analysis using MS Excel. With illustrations and examples, it will help the readers to:

¿ Visualize, present, and analyze data through MS Excel spreadsheets and tables and create personal or business spreadsheets

¿ Learn how to work with spreadsheets, use formulae, and perform calculations and analysis

¿ Create tables including Pivot Tables

¿ Become familiar with basic statistical and financial measures

¿ Design creative spread sheets and communicate effectively in business using spreadsheets and data analysis

This revised and updated second edition will be an essential resource for students of economics, commerce, management, and other social science subjects, and will be useful to those studying econometrics, financial technology, basic computational techniques, data analysis, and applied economics.

Content

The book is developed through three phases, with each phase standing on its own as well as providing a foundation for the next. In the first phase, Excel is introduced for the students to learn entry of data, manipulation of data, carrying out operations and develop presentations. The second phase introduces basic statistical measures of data summarisation and analysis, following which these are illustrated in Excel spreadsheets with the techniques introduced in the first phase. In addition, a few advanced tools of statistical analysis are introduced and illustrated in Excel. The third phase introduces financial measures of common use, their general computation and working them out in Excel. 

The book intends to illustrate the concepts used in economic and financial decision-making in business and in daily life; it helps demonstrate a deeper understanding from both theoretical and practical perspectives. An effort has been made to make the book student-friendly by using simple language and giving a number of illustrations in each chapter, solved in such a simple manner that they can be easily understood by the students. Practical questions have been included at the end of each chapter so that the students can independently solve them and test their understanding of the concepts and computations introduced in the chapter.

Outcome

At the end, students will be able to describe what a spreadsheet is and what Excel's capabilities are and can work with elements that make up the structure of a worksheet. They will be able to work with spreadsheets and enter data in Excel, use formulae and calculations, and create tables, charts and pivot tables. They will be familiar with basic statistical and financial measures of general use. They will be able to do basic computations in statistics and finance in Excel. Students will acquire the capacity to create personal and/or business spreadsheets following current professional and/or industry standards. Their potential for critical thinking to design and create spreadsheets and communicate in a business setting using spreadsheet vocabulary will be enhanced.

In the digital age, students necessarily need to know data, data sources and how to 'dirty' their hands with data. There can be no substitute to 'talking through numbers'. The book introduces students to a variety of Indian and International data sources and teaches them how to import data-be it social, economic, financial and so on-to the Excel sheet. Once they master it, the data world is there for them to conquer!

The educational background required for the student to understand the text is

An Exploration in MS Excel

Basic Computational Techniques for Data Analysis

This book gives readers hands-on understanding of Excel assisted statistical techniques to take effective business decisions. It showcases applications of the tools and techniques of statistics for analysing business data from the domain of business statistics.

A Complete Course in Data Analytics

Business Statistics Using Excel

Including the latest Microsoft 365 features and enhanced support for Mac users, Cengage's Illustrated Series Collection, Microsoft Office 365 &amp; Excel 2021 Comprehensive, 1st edition, helps you quickly master the nuances of Microsoft Office. Its concise, student-friendly approach uses a proven two-page layout that allows you to work through an entire task without turning the page. Each module begins with a brief overview of the principles covered while large, full-color screen images illustrate what you see on your computer. Module Learning Objectives are mapped to Microsoft Office Specialist (MOS) certification objectives, and module scenarios are based on Burning Glass market insights data -- helping you sharpen the critical skills you need for real-world success. In addition, MindTap and SAM (Skills Assessment Manager) online resources help maximize your study time -- and results.

Illustrated SeriesÂ® Collection, MicrosoftÂ® Office 365Â® & ExcelÂ® 2021 Comprehensive

Master the hidden capabilities of Excel and related applications, crafting tools to help you and others become blackbelts in analysis.

An Accelerated Guide to Decision Support Designs

Excel Basics to Blackbelt

Excel 2019 Power Programming with VBA

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