Название: Microsoft Excel Data Analysis and Business Modeling (Office 2021 and Microsoft 365), 7th editionАвтор: Wayne L. Winston
Издательство: Microsoft Press/Pearson Education
Год: 2022
Страниц: 1168
Язык: английский
Формат: epub
Размер: 57.9 MB
Master business modeling and analysis techniques with Microsoft Excel and Office 365 and transform data into bottom-line results. Written by award-winning educator Wayne Winston, this hands-on, scenario-focused guide helps you use Excel to ask the right questions and get accurate, actionable answers. A lot has changed in Office 365 since the previous edition. This new edition covers new functions (STOCKHISTORY, LET, LAMBDA, XLOOKUP) and new array functions. It also covers the new Data types that have been added. Finally, we've increased the coverage of Power Pivot , Macros, and Power Query.
Generally, the chapters in this book are short and organized around a single concept. You should be able to master the content of most chapters with at most two hours of study. By looking at the questions that begin each chapter, you’ll gain an idea about the types of problems you’ll be able to solve after mastering a chapter’s topics. In addition to learning about Excel formulas, you will learn some important math in a painless fashion. For example, you’ll learn about statistics, forecasting, optimization models, Monte Carlo simulation, inventory modeling, and the mathematics of waiting in line. You will also learn about some recent developments in business thinking, such as real options, customer value, and mathematical pricing models.
At the end of each chapter, I’ve provided a group of practice problems (more than 900 in total) that you can work through on your own. Many of these problems are based on actual situations faced by business analysts at Fortune 500 companies. These problems will help you fully understand the information in each chapter. Answers to all problems are included in files you can download from the book’s companion website.
Practice with more than 900 problems, many based on actual challenges faced by working analysts. Solve real business problems with Excel - and build your competitive advantage:
Quickly transition from Excel basics to sophisticated analytics
Use PowerQuery or Get & Transform to connect, combine, and refine data sources
Leverage Office 365's new Geography and Stock data types and six new functions
Illuminate insights from geographic and temporal data with 3D Maps
Summarize data with pivot tables, descriptive statistics, histograms, and Pareto charts
Use Excel trend curves, multiple regression, and exponential smoothing
Delve into key financial, statistical, and time functions
Master all of Excel's great charts
Quickly create forecasts from historical time-based data
Use Solver to optimize product mix, logistics, work schedules, and investments―and even rate sports teams
Run Monte Carlo simulations on stock prices and bidding models
Learn about basic probability and Bayes' Theorem
Use the Data Model and Power Pivot to effectively build and use relational data sources inside an Excel workbook
Automate repetitive analytics tasks by using macros
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