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Microsoft Excel 2016 Data Analysis and Business Modeling / Wayne L. Winston

By: Material type: TextTextPublication details: New Delhi PHI Learning Pvt. Ltd. 2019Description: xxvi, 837p. : ill. ; 24cmISBN:
  • 9788120353350
Subject(s): DDC classification:
  • 23rd 005.54 WIN
Online resources:
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Item type Current library Call number Status Notes Date due Barcode
Text Book VIT-AP General Stacks 005.54 WIN (Browse shelf(Opens below)) Checked out to GUNGUN SHARMA (21BCE8547) CSE 2023-06-07 018216
Reference Book VIT-AP General Stacks 005.54 WIN (Browse shelf(Opens below)) Not for loan CSE 018217

It includes index
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
Key Features:

Excel, Statistics, Data, Analysis, Modelling, Business models, Descriptive, Predictive, Spreadsheet,

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