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Books > Computing & IT > Computer software packages > Spreadsheet software
This book will appeal to both graduate students and practitioners. Students will value the Excel spreadsheets allowing them to develop their knowledge of modelling in finance, using a step-by-step approach accompanied by explanations using elementary mathematical statistics and probability. Practitioners will value the VBA functions as a source of up-to-date and efficient programs that can be easily used from Excel. Standard material covered includes:
The book is accompanied by a CD-ROM containing the spreadsheets, VBA functions and macros used throughout the work.
Conquer Microsoft Excel-from the inside out! Dive Into Microsoft Excel for Office 2021 and Microsoft 365 and really put your spreadsheet expertise to work. This supremely well-organized reference packs hundreds of timesaving solutions, tips, and workarounds-all you need to make the most of Excel's most powerful tools for analyzing data and making better decisions. Renowned Excel expert Bill Jelen offers a complete tour of Excel and its latest innovations, from advanced analysis and visualizations to dashboards. Discover how experts tackle today's key tasks-and challenge yourself to new levels of mastery. Save time with galleries, keyboard accelerators, and other shortcuts. Enter formulas more efficiently, and fully control operators and dates. Use new data types to return photos, arrays, or weather history- and even create your own. Master Excel's most widely-used functions. Integrate external data from the web and other sources. Use the new XLOOKUP function to retrieve data more efficiently, with fewer errors. Store powerful specialized logic in LAMBDA functions-and avoid their limitations. Easily transform complex datasets with Power Query. Quickly summarize millions of records with pivot tables. Perform ad hoc analyses and create advanced data mashups. Use Analyze Data's artificial intelligence to get answers and auto-generate pivot tables. Solve complex problems with What-If, Scenario Manager, Goal Seek, and Solver. Automate repetitive tasks by editing recorded VBA code. Demystify data with conditional formatting and other visualization techniques. Make the most of Excel's newest maps and charts. Add visual power with icons, 3D models, and animated 3D maps.
As part of the successful Pocket Primer series, this book was designed for someone like you who needs to master Excel programming fundamentals without spending too much time. All you need is a short book to get you started. It will show you only the things you need to know to feel at home with VBA. What you learn in this book on Excel programming will also apply to, say, Access programming. The book is divided into nine chapters that progressively introduce you to programming Microsoft Excel 2021. FEATURES: Includes a companion disc with all of the "Hands-On" files needed to complete the chapter projects and all the images from the text (also available from the publisher by writing to [email protected]). Introduces you to using the VBA programming language in Microsoft Excel 2021.
The advanced tools accountants need to build automated, reliable, and scalable reports using Excel Learn about the functions that work together to automate many of the processes involved in Management Reporting. See how to take advantage of the many new features of Excel 2007 and 2010. Find out how to build validation structures into your spreadsheet reports. Discover how to identify missing or new codes, either in the creation process or in the day-to-day running of the reports. Do it all with Advanced Excel Reporting for Management Accountants. * Explore the structures that simplify the report creation process and make the reports more maintainable * Learn techniques to "cleanse" data so that it is ready for use in Pivot Tables and formula-based reports * Find out the tips and tricks that can make the creation process quicker and easier * Discover all you need to know about Excel's summing functions and how versatile they can be Written in a hands-on style that works towards the completion of two reporting case studies, Advanced Excel Reporting for Management Accountants explains and demonstrates techniques so that Management Accountants can learn how to automate many aspects of the reporting process.
This third edition capitalizes on the success of the previous editions and leverages the important advancements in visualization, data analysis, and sharing capabilities that have emerged in recent years. It serves as an accelerated guide to decision support designs for consultants, service professionals and students. This 'fast track' enables a ramping up of skills in Excel for those who may have never used it to reach a level of mastery that will allow them to integrate Excel with widely available associated applications, make use of intelligent data visualization and analysis techniques, automate activity through basic VBA designs, and develop easy-to-use interfaces for customizing use. The content of this edition has been completely restructured and revised, with updates that correspond with the latest versions of software and references to contemporary add-in development across platforms. It also features best practices in design and analytical consideration, including methodical discussions of problem structuring and evaluation, as well as numerous case examples from practice.
Excel 2016 In Depth Full Color: Figures and code appear as they do in Excel 2016 Beyond the Basics...Beneath the Surface...In Depth Do more in less time! Experienced with Excel? Don't let Excel 2016 make you feel like a beginner again! This new full-color edition of the bestselling book has been completely overhauled. Gone is unnecessary and rarely used content; emphasis is on the most-used and new aspects of Excel 2016. The result is a focused book where every topic is relevant and worth learning. Excel 2016 In Depth is the fastest, smartest way to master Excel 2016's full power and updated interface. You'll discover how to leverage Excel's new tools for charting, business analysis, data visualization, forecasting, and more. * Quickly clean your data with Excel 2016's powerful Get & Transform tools * Discover Excel 2016's newest charts: waterfall, histogram, Pareto, sunburst, TreeMap, and Box and Whisker * Use Forecast Sheets to forecast the future, including seasonal adjustments * Pivot data on maps with 3D Maps, and animate your maps over time * Create formulas, charts, subtotals, and pivot tables faster than ever * Create amazing PowerPivot data mashups that integrate information from anywhere * Automate repetitive functions using Excel macros * Solve real-world business intelligence analysis problems * Use PowerPivot Data Model to create pivot tables from multiple data sets without VLOOKUP * Share workbooks on the Web and social networks * Leverage Excel to create highly interactive web pages and online surveys * Quickly apply attractive, consistent formats This book is part of Que's Content Update Program. As Microsoft updates features of Excel, sections of this book will be updated or new sections will be added to match the updates to the software. See inside for details.
Solutions Manual to accompany Introduction to Quantitative Methods in Business: With Applications Using Microsoft(R) Office Excel(R)
Create, edit, sort, analyze, summarize, and format data as well as graph it in Excel 2019. Chock full of visuals, user-friendly instructions, and reader exercises, this in-depth guide makes it easy for you to get on the bandwagon taking advantage of this powerful software and what it can do. Essential Excel 2019 doesn't mess around. It provides the most clear and concise, but complete, information you need to successfully use the expansive features of Excel in your work environment. The second edition of this soup-to-nuts book delivers essential how-to and reference information for users who are new to Excel, those who want to continue building their Excel skills, or anyone who wants to get up to speed on the latest changes and features in Excel 2019. It is heavy on the practical examples and light on the theory, providing a step-by-step process of what you need to do when you are working with Excel. You will begin with the basics, advancing as each chapter builds on knowledge from previous chapters. You will appreciate real-life examples and exercises that reinforce what you have learned, and upon finishing the book, you will have the confidence to use much more than the typical 10% that most people use in Excel. What You Will Learn Create amazing visualizations of your data Get up to speed on easy and accurate methods for entering data Extract the information you want from imported data; manipulate and format it to meet your needs Export your results to other programs or share with others in the cloud Organize, summarize, filter, and consolidate your data in multiple ways Audit, validate, and protect your data Who This Book Is For Anyone new to Excel or looking to take better advantage of the advanced features of the platform
This book shows the capabilities of Microsoft Excel in teaching environmental science statistics effectively. Similar to the previously published Excel 2016 for Environmental Sciences Statistics, this book is a step-by-step, exercise-driven guide for students and practitioners who need to master Excel to solve practical environmental science problems. If understanding statistics isn't the reader's strongest suit, the reader is not mathematically inclined, or if the reader is new to computers or to Excel, this is the book to start off with. Excel, a widely available computer program for students and managers, is also an effective teaching and learning tool for quantitative analyses in environmental science courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. Excel 2019 for Environmental Sciences Statistics: A Guide to Solving Practical Problems capitalizes on these improvements by teaching students and managers how to apply Excel to statistical techniques necessary in their courses and work. In this new edition, each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand environmental science problems. Practice problems are provided at the end of each chapter with their solutions in an appendix. Separately, there is a full practice test (with answers in an appendix) that allows readers to test what they have learned.
This textbook is a step-by-step guide for high school, community college, and undergraduate students who are taking a course in applied statistics and wish to learn how to use Excel to solve statistical problems. All of the statistics problems in this book come from the following fields of study: business, education, psychology, marketing, engineering and advertising. Students will learn how to perform key statistical tests in Excel without being overwhelmed by statistical theory. Each chapter briefly explains a topic and then demonstrates how to use Excel commands and formulas to solve specific statistics problems. The book offers guidance in using Excel in two different ways: (1) writing formulas (e.g., confidence interval about the mean, one-group t-test, two-group t-test, correlation) and (2) using Excel's drop-down formula menus (e.g., simple linear regression, multiple correlations and multiple regression, and one-way ANOVA). Three practice problems are provided at the end of each chapter, along with their solutions in an appendix. An additional practice test allows readers to test their understanding of each chapter by attempting to solve a specific statistics problem using Excel; the solution to each of these problems is also given in an appendix. This book is a tool that can be used either by itself or along with any good statistics book.
This book is of paramount importance in the fields of engineering and applied sciences, given that through the values obtained by these procedures, many structures, like spillways of dams and highway culverts, are designed and constructed. The main aim of this book is to provide procedures for implementing many probability distribution functions, all of them based on using a standard and a common computational application known as Excel, which is available to any personal computer user. The computer procedures are given in enough detail, so readers can develop their own Excel worksheets. All the probability distribution functions in the book have schemes to estimate its parameters, quantiles, and confidence limits through the methods of moments and maximum likelihood.
Excel Crash Course for Engineers is a reader-friendly introductory guide to the features, functions, and applications of Microsoft Excel in engineering. The book provides readers with real-world examples and exercises that are directly related to engineering, and offers highly illustrated, step-by-step demonstrations of techniques to solve and visualize engineering problems and situations. The book includes an introduction to MS Excel, along with in-depth coverage of graphing and charting, functions and formulae, Excel's Visual Basic for Applications (VBA) programming language, and engineering data analysis. This powerful tutorial is a great resource for students, engineers, and other busy technical professionals who need to quickly acquire a solid understanding of Excel.
""I've worked with simulation in business for over 20 years, and Allman really nails it with this book. I admit that I own his previous book on structured finance cash flows, but I was surprised by what I found in here. He addresses the fundamental questions of how decision makers react to simulations and his read was very much in accordance with what I've experienced myself. When it came to the nuts and bolts of describing the different types of simulation analysis the book becomes incredibly detailed. There is working code and models for a fantastic array of the most common simulation problems. If you're so inclined, the book very carefully steps through the tricky math needed to really understand the theory behind stochastic modeling in finance. If you're preparing models that include any kind of randomization or stochastic modeling component, this book is a must-read, a tremendous value and time-saver."" -- David Brode of The Brode Group A practical guide to understanding and implementing financial simulation modeling As simulation techniques become more popular among the financial community and a variety of sub-industries, a thorough understanding of theory and implementation is critical for practitioners involved in portfolio management, risk management, pricing, and capital budgeting. "Financial Simulation Modeling in Excel" contains the information you need to make the most informed decisions possible in your professional endeavors. "Financial Simulation Modeling in Excel" contains a practical, hands-on approach to learning complex financial simulation methodologies using Excel and VBA as a medium. Crafted in an easy to understand format, this book is suitable for anyone with a basic understanding of finance and Excel. Filled with in-depth insights and expert advice, each chapter takes you through the theory behind a simulation topic and the implementation of that same topic in Excel/VBA in a step-by-step manner.Organized in an easy-to-follow fashion, this guide effectively walks you through the process of creating and implementing risk models in ExcelA companion website contains all the Excel models risk experts and quantitative analysts need to practice and confirm their results as they progressKeith Allman is the author of other successful modeling books, including "Corporate Valuation Modeling" and "Modeling Structured Finance Cash Flows with Microsoft Excel" Created for those with some background in finance and experience in Excel, this reliable resource shows you how to effectively perform sound financial simulation modeling, even if you've yet to do extensive modeling up to this point in your professional or academic career.
To achieve the maximum control and flexibility from Microsoft® Excel often requires careful custom programming using the VBA (Visual Basic for Applications) language. Writing Excel Macros with VBA, 2nd Edition offers a solid introduction to writing VBA macros and programs, and will show you how to get more power at the programming level: focusing on programming languages, the Visual Basic Editor, handling code, and the Excel object model.
This book shows the capabilities of Microsoft Excel in teaching physical science statistics effectively. Similar to the previously published Excel 2016 for Physical Sciences Statistics, this book is a step-by-step, exercise-driven guide for students and practitioners who need to master Excel to solve practical physical science problems. If understanding statistics isn't the reader's strongest suit, the reader is not mathematically inclined, or if the reader is new to computers or to Excel, this is the book to start off with. Excel, a widely available computer program for students and managers, is also an effective teaching and learning tool for quantitative analyses in physical science courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. Excel 2019 for Physical Sciences Statistics: A Guide to Solving Practical Problems capitalizes on these improvements by teaching students and managers how to apply Excel to statistical techniques necessary in their courses and work. In this new edition, each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand physical science problems. Practice problems are provided at the end of each chapter with their solutions in an appendix. Separately, there is a full practice test (with answers in an appendix) that allows readers to test what they have learned.
Master the art of loading external data into Excel for use in reporting, charting, dashboarding, and business intelligence. This book provides a complete and thorough explanation of Microsoft Excel's Get and Transform feature set, showing you how to connect to a range of external databases and other data sources to find data and pull that data into your local spreadsheet for further analysis. Leading databases are covered, including Microsoft Azure data sources and web sources, and you will learn how to access those sources from your Microsoft Excel spreadsheets. Getting data into Excel is a prerequisite for using Excel's analytics capabilities. This book takes you beyond copying and pasting by showing you how to connect to your corporate databases that are hosted in the Azure cloud, and how to pull data from Oracle Database and SQL Server, and other sources. Accessing data is only half the problem, and the other half involves cleansing and rearranging your data to make it useful in spreadsheet form. Author Adam Aspin shows you how to create datasets and transformations. For advanced problems, there is help on the M language that is built into Excel, specifically to support mashing up data in support of business intelligence and analysis. If you are an Excel user, you won't want to be without this book that teaches you to extract and prepare external data ready for use in what is arguably the world's leading analytics tool. What You Will Learn Connect to a range of external data, from databases to Azure sources Ingest data directly into your spreadsheets, or into PowerPivot data models Cleanse and prepare external data so it can be used inside Excel Refresh data quickly and easily to always have the latest information Transform data into ready-to-use structures that fit the spreadsheet format Execute M language functions for complex data transformations Who This Book Is For Excel users who want to access data from external sources-including the Microsoft Azure platform-in order to create business intelligence reporting, dashboards, and visualizations. For Excel users needing to cleanse and rearrange such data to meet their own, specific needs.
Excel at predicting sales and forecasting trends using Microsoft Excel! If you're a sales or marketing professional, you know that forecasting sales is one of the biggest challenges you face on the job. Unlike other books on the subject, Excel Sales Forecasting For Dummies, 2nd Edition leaves arcane business school terms and complex algebraic equations at the door, focusing instead on what you can do right now to utilize the world's most popular spreadsheet program to produce forecasts you can rely on. Loaded with confidence boosters for anyone who succumbs to sweaty palms when sales predictions are mentioned, this trusted guide show you how to use the many tools Excel provides to arrange your past data, set up lists and pivot tables, use moving averages, and so much more. Before you know it, you'll become a forecaster par excellence even if numbers aren't your jam. * Choose the right forecasting method * Find relationships in your data * Predict seasonal sales * Filter lists or turn them into charts Consider this guide your crystal ball and start predicting the future with confidence and ease!
Gain Deeper Insights, Make Smarter Decisions, and Earn More Profits It's time to put the full power of Excel quantitative analysis behind your management decisions! Business analysis expert Conrad Carlberg shows you how to use Excel to perform core financial tasks all managers and entrepreneurs need to master: analyzing statements, planning and controlling company finances, making investment decisions, and managing sales and marketing. Carlberg helps you make the most of Excel's tools and features in everything from business case development to cash flow analysis. Becoming an Excel expert has never been easier. You'll find crystal-clear instructions, real-world examples, insider insights, step-by-step projects, and much more. It's all complemented by extensive web-based resources, from sample journals and ledgers to business forecasting tools. * Get more insight from income statements and balance sheets * Manage current assets and value inventories * Summarize transactions from journal to balance sheet * Analyze working capital, cash flow, statements, and ratios * Optimize budgeting and planning cycles * Make more accurate and useful forecasts and projections * Measure product or service quality * Plan investments, set decision criteria, and perform sensitivity analyses * Analyze profits, pricing, costs, contributions, and margins * Make better decisions in uncertain conditions * Understand and maximize the value of fixed assets * Efficiently import and export business data * Use Excel and Power BI to analyze data from QuickBooks or other sources
The revised Fourth Edition of this popular textbook is redesigned with Excel 2016 to encourage business students to develop competitive advantages for use in their future careers as decision makers. Students learn to build models using logic and experience, produce statistics using Excel 2016 with shortcuts, and translate results into implications for decision makers. The textbook features new examples and assignments on global markets, including cases featuring Chipotle and Costco. A number of examples focus on business in emerging global markets with particular emphasis on emerging markets in Latin America, China, and India. Results are linked to implications for decision making with sensitivity analyses to illustrate how alternate scenarios can be compared. The author emphasises communicating results effectively in plain English and with screenshots and compelling graphics in the form of memos and PowerPoints. Chapters include screenshots to make it easy to conduct analyses in Excel 2016. PivotTables and PivotCharts, used frequently in business, are introduced from the start. The Fourth Edition features Monte Carlo simulation in four chapters, as a tool to illustrate the range of possible outcomes from decision makers' assumptions and underlying uncertainties. Model building with regression is presented as a process, adding levels of sophistication, with chapters on multicollinearity and remedies, forecasting and model validation, auto-correlation and remedies, indicator variables to represent segment differences, and seasonality, structural shifts or shocks in time series models. Special applications in market segmentation and portfolio analysis are offered, and an introduction to conjoint analysis is included. Nonlinear models are motivated with arguments of diminishing or increasing marginal response.
Excel at Excel with the help of this bestselling spreadsheet guide John Walkenbach's name is synonymous with excellence in computer books that decipher the complexities of Microsoft Excel. Known as "Mr. Spreadsheet," Walkenbach shows you how to maximize the power of Excel 2013 while bringing you up to speed on the latest features. This perennial bestseller is fully updated to cover all the new features of Excel 2013, including how to navigate the user interface, take advantage of various file formats, master formulas, analyze data with PivotTables, and more. Whether you're an Excel beginner who is looking to get more savvy or an advanced user looking to become a power user, this latest edition provides you with comprehensive coverage as well as helpful tips, tricks, and techniques that you won't find anywhere else. Shares the invaluable insight of Excel guru and bestselling author "Mr. Spreadsheet" John Walkenbach as he guides you through every aspect of Excel 2013Provides essential coverage of all the newest features of Excel 2013Presents material in a clear, concise, logical format that is ideal for all levels of Excel experienceFeatures a website that includes downloadable templates and worksheets from the book Chart your path to fantastic formulas and stellar spreadsheets with "Excel 2013 Bible"
For beginning to intermediate courses in construction estimating in two- and four-year construction management programs. A step-by-step, hands-on introduction to commercial and residential estimating Construction Estimating with Excel, 3/e, introduces readers to the fundamental principles of estimating using drawing sets, real-world exercises, and examples. The book moves step-by-step through the estimating process, discussing the art of estimating, the quantity takeoff, how to put costs to the estimate, and how to finalize the bid. As students progress through the text they are shown how Microsoft Excel can be used to improve the estimating process. Because it introduces spreadsheets as a way of increasing estimating productivity and accuracy, the book can help both beginning and experienced estimators improve their skills. The Third Edition gives students a broader understanding of construction estimating with a new chapter discussing the role that estimating plays in different project delivery methods and in the design process and how to use data from RSMeans. To bring the book up to date, the material and equipment costs and labor rates have been updated to reflect current costs, and the discussion of Excel (including the figures) is based on Excel 2016. Additionally, content throughout the book has been updated to align to ACCE and ABET student learning outcomes. Student resources are available on the companion website www.pearsonhighered.com/careersresources/. |
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