Microsoft Excel 2019 Data Analysis And Business Modeling
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Microsoft Excel 2019 Data Analysis And Business Modeling
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Author : Wayne Winston
language : en
Publisher: Microsoft Press
Release Date : 2019-03-28
Microsoft Excel 2019 Data Analysis And Business Modeling written by Wayne Winston and has been published by Microsoft Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-03-28 with Computers categories.
Master business modeling and analysis techniques with Microsoft Excel 2019 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. New coverage ranges from Power Query/Get & Transform to Office 365 Geography and Stock data types. Practice with more than 800 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
Microsoft Excel 2019 Data Analysis And Business Modeling
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Author : W. WINSTON
language : en
Publisher:
Release Date : 2022
Microsoft Excel 2019 Data Analysis And Business Modeling written by W. WINSTON and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022 with categories.
Microsoft Excel 2019 Data Analysis And Business Modeling
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Author : Wayne L. Winston
language : en
Publisher:
Release Date : 2019
Microsoft Excel 2019 Data Analysis And Business Modeling written by Wayne L. Winston and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with Business categories.
Microsoft Excel 2019
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Author : WANYNE L. WINSTON
language : en
Publisher:
Release Date : 2022-04
Microsoft Excel 2019 written by WANYNE L. WINSTON and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-04 with Computers categories.
Contents: Introduction. 1. Basic worksheet modeling. 2. Range names. 3. Lookup functions. 4. The INDEX function. 5. The MATCH function. 6. Text functions and Flash Fill. 7. Dates and date functions. 8. NPV and XNPV functions. 9. IRR, XIRR, and MIRR functions. 10. More Excel financial functions. 11. Circular references. 12. IF, IFERROR, IFS, CHOOSE, and SWITCH functions. 13. Time and time functions. 14. The Paste Special command. 15. Three-dimensional formulas and hyperlinks. 16. The auditing tool and the Inquire add-in. 17. Sensitivity analysis with data tables. 18. The Goal Seek command. 19. Using the Scenario Manager for sensitivity analysis. 20. The COUNTIF, COUNTIFS, COUNT, COUNTA and COUNTBLANK functions. 21. The SUMIF, AVERAGEIF, SUMIFS, AVERAGEIFS, MAXIFS and MINIFS functions. 22. The OFFSET function. 23. The INDIRECT function. 24. Conditional formatting. 25. Sorting in Excel. 26. Excel tables and table slicers. 27. Spin buttons, scrollbars, option buttons, check boxes, combo boxes and group list boxes. 28. The analytics revolution. 29. An introduction to optimization with Excel Solver. 30. Using Solver to determine the optimal product mix. 31. Using Solver to schedule your workforce. 32. Using Solver to solve transportation or distribution problems. 33. Using Solver for capital budgeting. 34. Using Solver for financial planning. 35. Using Solver to rate sports teams. 36. Warehouse location and the GRG Multistart and Evolutionary Solver engines. 37. Penalties and the Evolutionary Solver. 38. The traveling salesperson problem. 39. Importing data from a text file or document. 40. Get & Transform. 41. Geography and Stock data types. 42. Validating data. 43. Summarizing data by using histograms and Pareto charts. 44. Summarizing data by using descriptive statistics. 45. Using pivot tables and slicers to describe data. 46. The Data Model. 47. Power Pivot. 48. Filled and 3D Power Maps. 49. Sparklines. 50. Summarizing data with database statistical functions.
Microsoft Excel Data Analysis And Business Modeling Office 2021 And Microsoft 365
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Author : Wayne Winston
language : en
Publisher: Microsoft Press
Release Date : 2021-12-17
Microsoft Excel Data Analysis And Business Modeling Office 2021 And Microsoft 365 written by Wayne Winston and has been published by Microsoft Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-17 with Computers categories.
Master business modeling and analysis techniques with Microsoft Excel and transform data into bottom-line results. Award-winning educator Wayne Winston's hands-on, scenario-focused guide helps you use today's Excel to ask the right questions and get accurate, actionable answers. More extensively updated than any previous edition, new coverage ranges from one-click data analysis to STOCKHISTORY, dynamic arrays to Power Query, and includes six new chapters. Practice with over 900 problems, many based on real challenges faced by working analysts. Solve real problems with Microsoft Excel—and build your competitive advantage Quickly transition from Excel basics to sophisticated analytics Use recent Power Query enhancements to connect, combine, and transform data sources more effectively Use the LAMBDA and LAMBDA helper functions to create Custom Functions without VBA Use New Data Types to import data including stock prices, weather, information on geographic areas, universities, movies, and music Build more sophisticated and compelling charts Use the new XLOOKUP function to revolutionize your lookup formulas Master new Dynamic Array formulas that allow you to sort and filter data with formulas and find all UNIQUE entries Illuminate insights from geographic and temporal data with 3D Maps Improve decision-making with probability, Bayes' theorem, and Monte Carlo simulation and scenarios Use Excel trend curves, multiple regression, and exponential smoothing for predictive analytics Use Data Model and Power Pivot to effectively build and use relational data sources inside an Excel workbook
Hands On Financial Modeling With Microsoft Excel 2019
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Author : Shmuel Oluwa
language : en
Publisher: Packt Publishing Ltd
Release Date : 2019-07-11
Hands On Financial Modeling With Microsoft Excel 2019 written by Shmuel Oluwa and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-07-11 with Computers categories.
Explore the aspects of financial modeling with the help of clear and easy-to-follow instructions and a variety of Excel features, functions, and productivity tips Key FeaturesA non data professionals guide to exploring Excel's financial functions and pivot tablesLearn to prepare various models for income and cash flow statements, and balance sheetsLearn to perform valuations and identify growth drivers with real-world case studiesBook Description Financial modeling is a core skill required by anyone who wants to build a career in finance. Hands-On Financial Modeling with Microsoft Excel 2019 examines various definitions and relates them to the key features of financial modeling with the help of Excel. This book will help you understand financial modeling concepts using Excel, and provides you with an overview of the steps you should follow to build an integrated financial model. You will explore the design principles, functions, and techniques of building models in a practical manner. Starting with the key concepts of Excel, such as formulas and functions, you will learn about referencing frameworks and other advanced components of Excel for building financial models. Later chapters will help you understand your financial projects, build assumptions, and analyze historical data to develop data-driven models and functional growth drivers. The book takes an intuitive approach to model testing, along with best practices and practical use cases. By the end of this book, you will have examined the data from various use cases, and you will have the skills you need to build financial models to extract the information required to make informed business decisions. What you will learnIdentify the growth drivers derived from processing historical data in ExcelUse discounted cash flow (DCF) for efficient investment analysisBuild a financial model by projecting balance sheets, profit, and lossApply a Monte Carlo simulation to derive key assumptions for your financial modelPrepare detailed asset and debt schedule models in ExcelDiscover the latest and advanced features of Excel 2019Calculate profitability ratios using various profit parametersWho this book is for This book is for data professionals, analysts, traders, business owners, and students, who want to implement and develop a high in-demand skill of financial modeling in their finance, analysis, trading, and valuation work. This book will also help individuals that have and don't have any experience in data and stats, to get started with building financial models. The book assumes working knowledge with Excel.
Data Analysis And Business Modelling Using Microsoft Excel
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Author : Hansa Lysander Manohar
language : en
Publisher: PHI Learning Pvt. Ltd.
Release Date : 2017-03-30
Data Analysis And Business Modelling Using Microsoft Excel written by Hansa Lysander Manohar and has been published by PHI Learning Pvt. Ltd. this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-03-30 with Language Arts & Disciplines categories.
Excel Data Analysis
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Author : Hector Guerrero
language : en
Publisher: Springer
Release Date : 2018-12-14
Excel Data Analysis written by Hector Guerrero and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12-14 with Business & Economics categories.
This book offers a comprehensive and readable introduction to modern business and data analytics. It is based on the use of Excel, a tool that virtually all students and professionals have access to. The explanations are focused on understanding the techniques and their proper application, and are supplemented by a wealth of in-chapter and end-of-chapter exercises. In addition to the general statistical methods, the book also includes Monte Carlo simulation and optimization. The second edition has been thoroughly revised: new topics, exercises and examples have been added, and the readability has been further improved. The book is primarily intended for students in business, economics and government, as well as professionals, who need a more rigorous introduction to business and data analytics – yet also need to learn the topic quickly and without overly academic explanations.
Microsoft Excel 2013
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Author : Wayne L. Winston
language : en
Publisher:
Release Date : 2014
Microsoft Excel 2013 written by Wayne L. Winston and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014 with Computers categories.
Master business modeling and analysis techniques with Microsoft Excel 2013, 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. Solve real business problems with Excel--and sharpen your edge Summarize data with PivotTables and Descriptive Statistics Explore new trends in predictive and prescriptive analytics Use Excel Trend Curves, multiple regression, and exponential smoothing Master advanced Excel functions such as OFFSET and INDIRECT Delve into key financial, statistical, and time functions Make your charts more effective with the Power View tool Tame complex optimization problems with Excel Solver Run Monte Carlo simulations on stock prices and bidding models Apply important modeling tools such as the Inquire add-in
Microsoft Excel 2019 Pivot Table Data Crunching
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Author : Bill Jelen
language : en
Publisher: Microsoft Press
Release Date : 2018-12-27
Microsoft Excel 2019 Pivot Table Data Crunching written by Bill Jelen and has been published by Microsoft Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12-27 with Computers categories.
Renowned Excel experts Bill Jelen (MrExcel) and Michael Alexander help you crunch data from any source with Excel 2019 pivot tables. Use Excel 2019 pivot tables and pivot charts to produce powerful, dynamic reports in minutes instead of hours, to 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 remarkable flexibility and analytical power–including valuable improvements in Excel 2019 and Excel in Office 365. Drawing on more than 45 combined years of Excel experience, Bill Jelen and Michael Alexander offer practical “recipes” for solving real business problems, help you avoid common mistakes, and present 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 • Control all future pivot tables using new pivot table defaults • Transform huge data sets into clear summary reports • Instantly highlight your most profitable customers, products, or regions • Use Power Query to quickly import, clean, shape, and analyze disparate data sources • Build geographical pivot tables with 3D Map • Construct and share state-of-the-art dynamic dashboards • Revamp analyses on the fly by dragging and dropping fields • Build dynamic self-service reporting systems • Share your pivot tables with colleagues • Create data mashups using the full Power Pivot capabilities of Excel 2019 and Excel in Office 365 • Automate pivot tables with macros and VBA • Save time by adapting reports with GetPivotData • Discover today’s most useful pivot table tips and shortcuts