Microsoft Excel 2013: Data Analysis and Business Modeling

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ISBN 10: 8120349601 / ISBN 13: 9788120349605
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Title: Microsoft Excel 2013: Data Analysis and ...
Publisher: International Edition
Binding: Paperback

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1.

Wayne L. Winston
Published by PHI Learning Pvt. Ltd (2014)
ISBN 10: 8120349601 ISBN 13: 9788120349605
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Book Description PHI Learning Pvt. Ltd, 2014. Softcover. Condition: New. First edition. Microsoft Excel 2013 Data Analysis and Business Modeling is designed to guide anyone with the latest tools of Microsoft Excel in getting data integrated from different tables. The skills provided in the book are especially useful to those in the field of business as it helps in the solving of various business problems in an easy, efficient and more systematic way. Table of Contents Introduction Chapter 1: Range Names Chapter 2: Lookup Functions Chapter 3: Index Function Chapter 4: Match Function Chapter 5: Text Functions Chapter 6: Dates and Date Functions Chapter 7: Evaluating Investments by Using Net Present Value Criteria Chapter 8: Internal Rate of Return Chapter 9: More Excel Financial Functions Chapter 10: Circular References Chapter 11: IF Statements Chapter 12: Time and Time Functions Chapter 13: The Paste Special Command Chapter 14: Three - Dimensional Formula`s Chapter 15: The Auditing Tool and Inquire Add-in Chapter 16: Sensitivity Analysis with Data Tables Chapter 17: The Goal Seek Command Chapter 18: Using the Scenario Manager for Sensitivity Analysis Chapter 19: The Countif, Countifs, Count, Counta and Countblank Functions Chapter 20: The Sumif, Averageif, Sumifs and Averageifs Functions Chapter 21: The Offset Function Chapter 22: The Indirect Function Chapter 23: Conditional Formatting Chapter 24: Sorting in Excel Chapter 25: Tables Chapter 26: Spinner Buttons, Scroll Bars, Option Buttons, Check Boxes, Combo Boxes and Group List Boxes Chapter 27: The Analytics Revolution Chapter 28: Introducing Optimization with Excel Solver Chapter 29: Using Solver to Determine the Optimal Product Mix Chapter 30: Using Solver to Schedule Your Workforce Chapter 31: Using Solver to Solve Transportation or Distribution Problems Chapter 32: Using Solver for Capital Budgeting Chapter 33: Using Solver for Financial Planning Chapter 34: Using Solver to Rate Sports Teams Chapter 35: Warehouse Location and the GRG Multistart and Evolutionary Solver Engines Chapter 36: Penalties and the Evolutionary Solver Chapter 37: The Travelling Salesperson Problem Chapter 38: Importing Data from a Text File or Document Chapter 39: Importing Data from the Internet Chapter 40: Validating Data Chapter 41: Summarising Data by Using Histograms Chapter 42: Summarising Data by Using Descriptive Statistics Chapter 43: Using Pivottables and Slicers to Describe Data Chapter 44: The Data Model Chapter 45: Powerpivot Chapter 46: Power View Chapter 47: Sparklines Chapter 48: Summarising Data with Database Statistical Functions Chapter 49: Filtering Data and Removing Duplicates Chapter 50: Consolidating Data Chapter 51: Creating Subtotals Chapter 52: Charting Tricks Chapter 53: Estimating Straight - Line Relationships Chapter 54: Modelling Exponential Growth Chapter 55: The Power Curve Chapter 56: Using Correlations to Summarise Relationships Chapter 57: Introduction to Multiple Regression Chapter 58: Incorporating Qualitative Factors into Multiple Regression Chapter 59: Modelling Nonlinearities And Interactions Chapter 60: Analysis of Variance One - Way Anova Chapter 61: Randomised Blocks and Two - Way Anova Chapter 62: Using Moving Averages to Understand Time Series Chapter 63: Winters?s Method Chapter 64: Ratio-to - Moving - Average Forecast Method Chapter 65: Forecasting in the Presence of Special Events Chapter 66: An Introduction to Random Variables Chapter 67: The Binomial, Hypergeometric and Negative Binomial Random Variables Chapter 68: The Poisson and Exponential Random Variable Chapter 69: The Normal Random Variable Chapter 70: Weibull and Beta Distributions - Modelling Machine Life and Duration of a Project Chapter 71: Making Probability Statements from Forecasts Chapter 72: Using the Lognormal Random Variable to Model Stock Prices Chapter 73: Introduction to Monte Carlo Simulation Chapter 74: Calculating an Optimal Bid Chapter Printed Pages: 808. Seller Inventory # 101070

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2.

Wayne L. Winston
Published by PHI Learning Pvt. Ltd (2014)
ISBN 10: 8120349601 ISBN 13: 9788120349605
New Softcover First Edition Quantity Available: > 20
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A - Z Books
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Book Description PHI Learning Pvt. Ltd, 2014. Softcover. Condition: New. First edition. Microsoft Excel 2013 Data Analysis and Business Modeling is designed to guide anyone with the latest tools of Microsoft Excel in getting data integrated from different tables. The skills provided in the book are especially useful to those in the field of business as it helps in the solving of various business problems in an easy, efficient and more systematic way. Table of Contents Introduction Chapter 1: Range Names Chapter 2: Lookup Functions Chapter 3: Index Function Chapter 4: Match Function Chapter 5: Text Functions Chapter 6: Dates and Date Functions Chapter 7: Evaluating Investments by Using Net Present Value Criteria Chapter 8: Internal Rate of Return Chapter 9: More Excel Financial Functions Chapter 10: Circular References Chapter 11: IF Statements Chapter 12: Time and Time Functions Chapter 13: The Paste Special Command Chapter 14: Three - Dimensional Formula`s Chapter 15: The Auditing Tool and Inquire Add-in Chapter 16: Sensitivity Analysis with Data Tables Chapter 17: The Goal Seek Command Chapter 18: Using the Scenario Manager for Sensitivity Analysis Chapter 19: The Countif, Countifs, Count, Counta and Countblank Functions Chapter 20: The Sumif, Averageif, Sumifs and Averageifs Functions Chapter 21: The Offset Function Chapter 22: The Indirect Function Chapter 23: Conditional Formatting Chapter 24: Sorting in Excel Chapter 25: Tables Chapter 26: Spinner Buttons, Scroll Bars, Option Buttons, Check Boxes, Combo Boxes and Group List Boxes Chapter 27: The Analytics Revolution Chapter 28: Introducing Optimization with Excel Solver Chapter 29: Using Solver to Determine the Optimal Product Mix Chapter 30: Using Solver to Schedule Your Workforce Chapter 31: Using Solver to Solve Transportation or Distribution Problems Chapter 32: Using Solver for Capital Budgeting Chapter 33: Using Solver for Financial Planning Chapter 34: Using Solver to Rate Sports Teams Chapter 35: Warehouse Location and the GRG Multistart and Evolutionary Solver Engines Chapter 36: Penalties and the Evolutionary Solver Chapter 37: The Travelling Salesperson Problem Chapter 38: Importing Data from a Text File or Document Chapter 39: Importing Data from the Internet Chapter 40: Validating Data Chapter 41: Summarising Data by Using Histograms Chapter 42: Summarising Data by Using Descriptive Statistics Chapter 43: Using Pivottables and Slicers to Describe Data Chapter 44: The Data Model Chapter 45: Powerpivot Chapter 46: Power View Chapter 47: Sparklines Chapter 48: Summarising Data with Database Statistical Functions Chapter 49: Filtering Data and Removing Duplicates Chapter 50: Consolidating Data Chapter 51: Creating Subtotals Chapter 52: Charting Tricks Chapter 53: Estimating Straight - Line Relationships Chapter 54: Modelling Exponential Growth Chapter 55: The Power Curve Chapter 56: Using Correlations to Summarise Relationships Chapter 57: Introduction to Multiple Regression Chapter 58: Incorporating Qualitative Factors into Multiple Regression Chapter 59: Modelling Nonlinearities And Interactions Chapter 60: Analysis of Variance One - Way Anova Chapter 61: Randomised Blocks and Two - Way Anova Chapter 62: Using Moving Averages to Understand Time Series Chapter 63: Wintersâs Method Chapter 64: Ratio-to - Moving - Average Forecast Method Chapter 65: Forecasting in the Presence of Special Events Chapter 66: An Introduction to Random Variables Chapter 67: The Binomial, Hypergeometric and Negative Binomial Random Variables Chapter 68: The Poisson and Exponential Random Variable Chapter 69: The Normal Random Variable Chapter 70: Weibull and Beta Distributions - Modelling Machine Life and Duration of a Project Chapter 71: Making Probability Statements from Forecasts Chapter 72: Using the Lognormal Random Variable to Model Stock Prices Chapter 73: Introduction to Monte Carlo Simulation Chapter 74: Calculating an Optimal Bid Chapter Printed Pages: 808. Seller Inventory # 101070

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Book Description 2013. Soft cover. Condition: New. International Edition. Book Condition: BRAND NEW. International/Eastern Economy Edition, Paperback/Softcover with SAME TITLE, AUTHOR AND EDITION as listed. ISBN and Cover design differs. **100% IDENTICAL CONTENTS as U.S Edition**. Standard Delivery within 7-14 business days ACROSS THE GLOBE. We can ship to PO Box, APO address in US. International Edition Textbooks may bear a label (Not for sale in the U.S. or Canada) or (For sale in Asia only) or similar restrictions- printed only to discourage students from obtaining an affordable copy. US Court has asserted your right to buy and use International edition. Access code/CD may not provided with these editions. We may ship the books from MULTIPLE WAREHOUSES ACROSS THE GLOBE including Asia depending upon the availability of inventory. Printed in English. Customer satisfaction guaranteed. Seller Inventory # ABECA4726

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Winston Wayne L
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Book Description PHI, 2014. Paperback. Condition: Good. 1. Ships with Tracking Number! INTERNATIONAL WORLDWIDE Shipping available. May not contain Access Codes or Supplements. May be ex-library. Shipping & Handling by region. Buy with confidence, excellent customer service!. Seller Inventory # 8120349601

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