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

The quick way to learn Microsoft Excel 2019!

This is learning made easy. Get more done quickly with Excel 2019. Jump in wherever you need answers--brisk lessons and many screen shots show you exactly what to do, step by step.

Quickly set up workbooks, enter data, and format it for easier viewing

•Perform calculations and find and correct errors

•Filter, sort, summarize, and combine data

•Analyze data by using PivotTables, PivotCharts, scenarios, data tables, and Solver

•Visualize data with charts and graphs, including new sunbursts, waterfalls, and treemaps

•Build data models and use them in business intelligence analyses

•Create timelines, forecasts, and visualizations, including KPIs and PowerMap data maps

•Look up just the tasks and lessons you nee

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 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.

Do you use Excel for simple lists, but get lost when it comes to actually doing something useful with all that data, like functions? Revolutionize the way your use the information in your life! "Head First Excel" helps you move from a spreadsheet dabbler into a savvy user in just a short time. Whether you're completely new to Excel, or an experienced user looking to make the program work better for you, this book will help you incorporate Excel into every aspect of your workflow, from a scratch pad for data-based brainstorming, to exploratory analysis with PivotTables, optimizing outcomes with Goal Seek, and presenting your conclusions with sophisticated data visualizations. Organize and present information clearly in a spreadsheet. Make calculations across a number of worksheets. Change your point of view with sorting, zooming, and filtering. Manipulate numerical and data to extract and use the data you need. Leverage Excel as a grid-based layout program. Get the most out of writing the right formulas for the right functionality. Nest formulas for more complex operations. Create sophisticated data visualizations with charts and graphs. Use Goal Seek to optimize possible outcomes based on different assumptions. Create summaries from large data sets for exploratory data analysis with PivotTables. We think your time is too valuable to waste struggling with new concepts. Using the latest research in cognitive science and learning theory to craft a multi-sensory learning experience, "Head First Excel" uses a visually rich format designed for the way your brain works, rather than a text-heavy approach that will put you to sleep.

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.

""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.

Use Microsoft 365 Excel and Excel 2021 pivot tables and pivot charts to produce powerful, dynamic reports in minutes: take control of your data and your business! Even if you've never created a pivot table before, this book will help you leverage all their flexibility and analytical power- including important recent improvements in Microsoft 365 Excel. Drawing on more than 30 years of cutting-edge Excel experience, MVP Bill Jelen ("MrExcel") shares practical "recipes" for solving real business problems, expert insights for avoiding mistakes, and advanced tips and tricks you'll find nowhere else. By reading this book, you will: Master easy, powerful ways to create, customize, change, and control pivot tables Transform huge datasets into clear summary reports Instantly highlight your most profitable customers, products, or regions Use the data model and Power Query to quickly analyze disparate data sources Create powerful crosstab reports with new dynamic arrays and Power Query Build geographical pivot tables with 3D Maps Construct and share state-of-the-art dynamic dashboards Revamp analyses on the fly by dragging and dropping fi elds Build dynamic self-service reporting systems Share your pivot tables with colleagues Create data mashups using the full Power Pivot capabilities in modern Excel versions Generate pivot tables using either VBA on the Desktop or Typescript in Excel Online Save time and avoid formatting problems by adapting reports with GetPivotData Unpivot source data so it's easier to work with Use new Analyze Data artificial intelligence to create pivot tables

Now students can master the nuances of Microsoft (R) Office quickly with ILLUSTRATED MICROSOFT (R) OFFICE 365 & EXCEL 2019 COMPREHENSIVE, part of today's popular Illustrated Series. This focused, user-friendly approach uses a proven two-page layout that allows students to work through an entire task without turning the page. Clear Learning Outcomes outline the skills for each lesson, while large full-color screen images reflect exactly what students see on their own computers. Each module begins with a brief overview of the principles covered in the lesson and introduces a real-world case scenario to engage students and reinforce critical skills to make them successful in their educational and professional careers. In addition, MindTap and updated SAM (Skills Assessment Manager) online resources are available to guide additional study and ensure successful results.

Master business modeling and analysis techniques with Microsoft Excel 2019, and transform data into bottom-line results. Written by award-winning educator Wayne Winston, this hands-on, scenario-focused guide shows you how to use the latest Excel tools to integrate data from multiple tables-and how to effectively build a relational data source inside an Excel workbook.

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/.

Bearbeiten und verwalten Sie umfangreiche Tabellen am Computer? Dann kommen Sie um Excel nicht herum. In diesem kompakten Buch lernen Excel-Neulinge und -Umsteiger die aktuellste Version von Excel und die wesentlichen Funktionen in aller KA1/4rze kennen. Fangen Sie ganz einfach an und arbeiten Sie sich zu Diagrammen, Tabellen, Funktionen und Formeln vor. Sie finden in diesem Buch die besten Tipps und Tricks zu Excel, die Ihnen das Arbeiten sehr erleichtern werden.

This is the first book to show the capabilities of Microsoft Excel to teach biological and life sciences statistics effectively. It is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical science problems. If understanding statistics isn t your strongest suit, you are not especially mathematically-inclined, or if you are wary of computers, this is the right book for you.

Excel, a widely available computer program for students and managers, is also an effective teaching and learning tool for quantitative analyses in science courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. However, "Excel 2010 for Biological and Life Sciences Statistics: A Guide to Solving Practical Problems" is the first book to capitalize on these improvements by teaching students and managers how to apply Excel to statistical techniques necessary in their courses and work.

Each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand 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. "

Now in full color, with easy lessons for essential tasks, big full-color visuals and skill-building practice files, this is the quick way to learn Excel! This is learning made easy.

Get productive fast with Excel 2016 and jump in wherever you need answers--brisk lessons and colorful screen shots show you exactly what to do, step by step.

• Work with Excel in touch mode
• Write formulas, create macros, and organize data
• Present data visually and add images to worksheets
• Consolidate multiple sets of data into a single workbook
• Create appealing charts and graphs and summarize with Sparklines
• Analyze data using the Quick Analysis Lens
• Collaborate with colleagues and present workbooks online

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 unique text uses Microsoft Excel (R) workbooks to instruct students. In addition to explaining fundamental concepts in microeconomic theory, readers acquire a great deal of sophisticated Excel skills and gain the practical mathematics needed to succeed in advanced courses. In addition to the innovative pedagogical approach, the book features explicitly repeated use of a single central methodology, the economic approach. Students learn how economists think and how to think like an economist. With concrete, numerical examples and novel, engaging applications, interest for readers remains high as live graphs and data respond to manipulation by the user. Finally, clear writing and active learning are features sure to appeal to modern practitioners and their students. The website accompanying the text is found at www.depauw.edu/learn/microexcel.

Get ready to take your Excel applications to the next level by harnessing the power of the VBA language. This comprehensive resource will help you gain more control over your spreadsheets by using VBA while also showing you how to develop more dynamic Excel applications for other users. From introductory concepts to advanced developer topics, it guides you through every aspect of Excel 2007, including the Ribbon and the XML file formats.

In order to master all of the new features of this program, you'll find an introduction to VBA and details on how to use it to enhance Excel. You'll then learn how to work with the key objects and uncover the best ways to gain access to workbooks, worksheets, charts, and more. And you'll find out how to write code for international compatibility, program the Visual Basic Editor, and use the functions in the Win32 API, which will expand your Excel VBA programming skills.

What you will learn from this book

How to write code that is readable, easy to maintain, and runs at maximum speed

Tips for utilizing the Visual Basic(R) Editor and its multitude of tools

Techniques for accessing data in a range of formats

Ways to set up your applications and convert them to add-ins

How to manipulate the Office XML file formats

A thorough explanation of RibbonX

Best practices for managing external data and using OLAP data sources

Methods for effectively debugging your application

Tips for packaging and distributing customized applications to other users

Who is this book for?

This book is for Excel users and programmers from beginning to advanced. You should have a reasonable working knowledge of Excel and a fullinstallation of the software.

Wrox Programmer's References are designed to give the experienced developer straight facts on a new technology, without hype or unnecessary explanations. They deliver hard information with plenty of practical examples to help you apply new tools to your development projects today.

PivotTables are powerful data analysis tools, yet most Excel users dont use them to their fullest potential. "A Complete Guide to PivotTables: A Visual Approach "shows you why PivotTables are so versatile for data analysis and how you can leverage PivotTables to rapidly spot trends and make fast business decisions on mountains of data.

A series of step-by-step tutorials and plenty of sample business data will help you get productive with PivotTables quickly and easily. Whereas most books only devote a small section to PivotTables, this book covers everything about this important Excel feature. With his tremendous experience writing about Office and Excel for power users, -->Paul Cornell--> will teach you plenty about PivotTables.

Get the most out of Excel 2013 with this exceptional advice from Mr. Spreadsheet himself! Excel 2013 is excellent, but there's lots to learn to truly excel at Excel! In this latest addition to his popular Mr. Spreadsheet's Bookshelf series, John Walkenbach, aka "Mr. Spreadsheet," shares new and exciting ways to accomplish and master all of your spreadsheet tasks. From taming the Ribbon bar to testing and tables, creating custom functions, and overcoming "impossible" charts, mixing nesting limits, and more, 101 Excel 2013 Tips, Tricks, & Timesavers will save you time and help you avoid common spreadsheet stumbling blocks. * Reveals ways to maximize the power of Excel to create robust applications * Draws on John Walkenbach's years of experience using Excel and writing more than 50 books * Shares tips and tricks for dealing with function arguments, creating add-ins, using UserForms, working with dynamic chart data, and changing data entry orientation * Provides shortcuts and helpful techniques for sorting more than three columns, entering fake data for testing purposes, and setting up powerful pivot tables 101 Excel 2013 Tips, Tricks, & Timesavers is packed with information that you need to know in order to confidently and seamlessly master the challenges that come with using Excel!

Data Mining for Business Analytics: Concepts, Techniques, and Applications in XLMiner(R), Third Edition presents an applied approach to data mining and predictive analytics with clear exposition, hands-on exercises, and real-life case studies. Readers will work with all of the standard data mining methods using the Microsoft(R) Office Excel(R) add-in XLMiner(R) to develop predictive models and learn how to obtain business value from Big Data. Featuring updated topical coverage on text mining, social network analysis, collaborative filtering, ensemble methods, uplift modeling and more, the Third Edition also includes: * Real-world examples to build a theoretical and practical understanding of key data mining methods * End-of-chapter exercises that help readers better understand the presented material * Data-rich case studies to illustrate various applications of data mining techniques * Completely new chapters on social network analysis and text mining * A companion site with additional data sets, instructors material that include solutions to exercises and case studies, and Microsoft PowerPoint(R) slides * Free 140-day license to use XLMiner for Education software Data Mining for Business Analytics: Concepts, Techniques, and Applications in XLMiner(R), Third Edition is an ideal textbook for upper-undergraduate and graduate-level courses as well as professional programs on data mining, predictive modeling, and Big Data analytics. The new edition is also a unique reference for analysts, researchers, and practitioners working with predictive analytics in the fields of business, finance, marketing, computer science, and information technology. Praise for the Second Edition " full of vivid and thought-provoking anecdotes...needs to be read by anyone with a serious interest in research and marketing." Research Magazine "Shmueli et al. have done a wonderful job in presenting the field of data mining - a welcome addition to the literature." ComputingReviews.com "Excellent choice for business analysts...The book is a perfect fit for its intended audience." Keith McCormick, Consultant and Author of SPSS Statistics For Dummies, Third Edition and SPSS Statistics for Data Analysis and Visualization Galit Shmueli, PhD, is Distinguished Professor at National Tsing Hua University s Institute of Service Science. She has designed and instructed data mining courses since 2004 at University of Maryland, Statistics.com, The Indian School of Business, and National Tsing Hua University, Taiwan. Professor Shmueli is known for her research and teaching in business analytics, with a focus on statistical and data mining methods in information systems and healthcare. She has authored over 70 journal articles, books, textbooks and book chapters. Peter C. Bruce is President and Founder of the Institute for Statistics Education at www.statistics.com. He has written multiple journal articles and is the developer of Resampling Stats software. He is the author of Introductory Statistics and Analytics: A Resampling Perspective, also published by Wiley. Nitin R. Patel, PhD, is Chairman and cofounder of Cytel, Inc., based in Cambridge, Massachusetts. A Fellow of the American Statistical Association, Dr. Patel has also served as a Visiting Professor at the Massachusetts Institute of Technology and at Harvard University. He is a Fellow of the Computer Society of India and was a professor at the Indian Institute of Management, Ahmedabad for 15 years.

Fast-paced and easy to use, this new book teaches you the basics of Excel 2007 so you can start using the program right away. This concise guide shows readers how to work with Excel's most useful features and its completely redesigned interface. With clear explanations, step-by-step instructions, lots of illustrations, and plenty of timesaving advice, "Excel 2007 for Starters: The Missing Manual" will quickly teach you to: build spreadsheets; add and format information; print reports; create charts and graphics; use basic formulas and functions and more. The new Excel is radically different from previous versions. Over the years, Excel has grown in power, sophistication and capability, but its once-simple toolbar has been packed with so many features that not even the pros could find them all. For Excel 2007, Microsoft redesigned the user interface completely, adding a tabbed toolbar that makes every feature easy to locate. Unfortunately, Microsoft's documentation is as scant as ever, so even if you find the features you need, you still may not know what to do with them. But with this book, you can breeze through the new user interface and its timesaving features in no time. "Excel 2007 for Starters: The Missing Manual" is the perfect primer for small businesses with no techie to turn to, as well as those who want to organize household and office information.