Microsoft Excel Data Analysis and Business Modeling (Office 2021 and Microsoft 365) (eBook)

Wayne Winston (Autor)

eBook Download: PDF

2021
1168 Seiten
Pearson Education (Verlag)
978-0-13-761377-9 (ISBN)

Infos

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

Produkt-Details

• Erscheint lt. Verlag: 28.12.2021
• Sprache: englisch
• Themenwelt: Informatik ► Office Programme ► Excel
• Themenwelt: Informatik ► Office Programme ► Outlook
• ISBN-10: 0-13-761377-6 / 0137613776
• ISBN-13: 978-0-13-761377-9 / 9780137613779