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Sách Microsoft Excel 2016 Data Analysis and Business Modeling

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This is the eBook of the printed book and may not include any media, website access codes, or print supplements that may come packaged with the bound book.

Master business modeling and analysis techniques with Microsoft Excel 2016, and transform data into bottom-line results. Written by award-winning educator Wayne Winston, this hands on, scenario-focused guide helps you use Excel’s newest tools to ask the right questions and get accurate, actionable answers. This edition adds 150+ new problems with solutions, plus a chapter of basic spreadsheet models to make sure you’re fully up to speed.

Solve real business problems with Excel–and build your competitive advantage

  • Quickly transition from Excel basics to sophisticated analytics
  • Summarize data by using PivotTables and Descriptive Statistics
  • Use Excel trend curves, multiple regression, and exponential smoothing
  • Master advanced functions such as OFFSET and INDIRECT
  • Delve into key financial, statistical, and time functions
  • Leverage the new charts in Excel 2016 (including box and whisker and waterfall charts)
  • Make charts more effective by using Power View
  • Tame complex optimizations by using Excel Solver
  • Run Monte Carlo simulations on stock prices and bidding models
  • Work with the AGGREGATE function and table slicers
  • Create PivotTables from data in different worksheets or workbooks
  • Learn about basic probability and Bayes’ Theorem
  • Automate repetitive tasks by using macros

eBook Details:

  • Paperback: 864 pages
  • Publisher: WOW! eBook; 5th edition (December 19, 2016)
  • Language: English

eBook Description:

Microsoft Excel 2016 Data Analysis and Business Modeling, 5th Edition

Download Microsoft Excel 2016 Data Analysis and Business Modeling, 5th Edition

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Yep! I am Le Quoc Thai codename name tnfsmith, one among of netizens beloved internet precious, favorite accumulate sharing all my knowledge and experience Excel, PC tips tricks, gadget news during over decades working in banking data analysis.

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