Wayne Winston Microsoft Excel Data Analysis And Business Modeling

Wayne Winston Microsoft Excel Data Analysis And Business Modeling – The book has been read but in good condition. Very minimal cover damage, including scuff marks, but no holes or tears. Hard covers may not be included. The binding shows minimal wear. Most of the pages are undamaged, minimal creases or tears, minimal pencil underlining of text, no underlining of text, no notes in the margins. No missing pages. See seller listing for details and description of any imperfections. View all condition definitionsopens in a new window or tab

Master modeling and business analysis techniques in Microsoft Excel 2019 and Office 365, and turn data into financial results. Written by award-winning teacher Wayne Winston, this practical, scenario-focused guide helps you use Excel to ask the right questions and get accurate, actionable answers. New coverage ranges include data types from Power Query/Get & Transform to Office 365 Geography and Stock. Practice with over 800 problems, many of which are based on real-world challenges faced by working analysts. Solve real business problems with Excel – and build a competitive advantage: Quickly move from Excel basics to advanced analytics Use PowerQuery or Get & Transform to connect, connect and refine data sources Leverage Office 365’s new geography and stock data types plus six new Features Get insights from geographic and temporal data with 3D maps Summarize data with pivot tables, descriptive statistics, histograms, and Pareto charts Use Excel trending curves, multiple regression, and exponential smoothing Delve into key financial, statistical, and time functions Master all great Excel features charts Quickly create forecasts from historical data Use Solver to optimize product mix, logistics, work schedules and investments – even evaluate sports teams Run Monte Carlo simulations of stock prices and Proposal Models Learn Basic Probability and Bayes Data Model and Power Pivot to effectively build and use relational data sources in Excel Workbook Automate repetitive analytical tasks with macros

Wayne Winston Microsoft Excel Data Analysis And Business Modeling

Wayne Winston Microsoft Excel Data Analysis And Business Modeling

Chapter 1 Basic Spreadsheet Modeling Chapter 2 Range Names Chapter 3 Search Functions Chapter 4 INDEX Function Chapter 5 MATCH Function Chapter 6 Text Functions Chapter 7 Dates and Date Functions Chapter 8 Evaluating Investments Using Net Present Value Criteria Chapter 9 Internal Rate of Return Chapter 10 More Excel Financial Functions Chapter 11 Circular References Chapter 12 IF Statements Chapter 13 Time and Time Functions Chapter 14 Special Paste Command Chapter 15 3D Formulas and Hyperlinks Chapter 16 Audit Tool Chapter 17 Sensitivity Analysis with Data Tables Chapter 18 Goal Seek Chapter 19 Using from Scenario Manager for Sensitivity Analysis Chapter 20 COUNTIF, COUNTIFS, COUNTIFS, COUNTIFS AND COUNBLANKS Chapter 21 SUMIF, AVERAGEIF, SUMCONS and AVERAGEIF Functions Chapter 22. OFFSET Function Chapter 22. 23. INDIRECT function Chapter 24. Conditional Formatting Chapter 25 Sorting in Excel Chapter 26 Tables Chapter 27 Sp on Buttons, Scroll Bars, Radio Buttons, Checkboxes, Combo Boxes, and Group List Boxes Chapter 28 The Analytical Revolution Chapter 29 Introduction to Optimization with Excel Solver Chapter 30 Using Solver to Determine the Optimal Product Lineup Chapter 31 Using Solver for Planning Chapter 32 Using Solver to Solve Transportation or Distribution Problems Chapter 33 Using Solver for Capital Budgeting Chapter 34 Using Solver for Financial Planning Chapter 35 Using Solver for evaluating sports teams Chapter 36 Warehouse location and GRG engines Multistart and Evolutionary Solver Chapter 37 Penalties and Evolutionary Solver Chapter 38 The Traveling Salesman Problem Chapter 39 Importing data from a text file or document Chapter 40 Validating data Chapter 41 Summarizing Data Using Histograms and Pareto Charts Chapter 42 Summarizing Data Using Descriptive Statistics Chapter 43 Using PivotTables and Slicers to Describe Data Chapter 44 Data Model Chapter 45 Power Pivo t Chapter 46 Power View and 3D Maps Chapter 47 Sparklines Chapter 48 Summarizing Data Using Database Statistics Chapter 49 Filtering and Deduplicating Data Chapter 50 Consolidating Data Chapter 51 Creating Subtotals Chapter 52 Graph Tricks Chapter 53 Estimating Linear Relationships Chapter 54 Modeling Exponential Growth Chapter 55 Power Curve Chapter 56 Using Correlations to Relationship Summaries Chapter 57 Introduction to Multiple Regression Chapter 58 Including Qualitative Factors in Multiple Regression Chapter 59 Nonlinearity and Interaction Modeling Chapter 60 Analysis of Variance: One-Way ANOVA Chapter 61 Random and Two-Way ANO Blocks VA Chapter 62 Using Moving Averages to Understand Time Series Chapter 63 Winters Method Chapter 64 Moving Average Relation Method Chapter 65 Forecasting in the Presence of Special Events Chapter 66 Introduction to Probability Chapter 67 Introduction to Random Variables Chap.

Microsoft Excel 2019 Data Analysis And Business Modeling (6th) [paperback] พร้อมส่ง (ใหม่)

The seller did not specify a shipping method to Canada. Contact the seller and request delivery to your location.

Shipped within 4 business days of receiving cleared payment. The seller has specified an extended handling time for this item.

For more information, please refer to the Return Policy opens in a new tab or window. You are covered by the Money Back Guaranteeopens in a new tab or window if you receive an item that is not as described in the auction.

Qualifying purchases may be interest-free if paid in full within 6 months of purchases of $99 or more. Other offers may also be available.

Business Analytics: Data Analysis & Decision Making, 6th Edition: S. Christian Albright

Interest will be charged to your account from the date of purchase if the balance is not fully repaid within 6 months. Minimum monthly payments are required. Subject to credit approval. View terms and conditions – for PayPal credit, opens in a new window or tab

Back to Home |See more details on “Business Skills Ser.: Data Analytics in Microsoft Excel 2019…” Back to Top Master business modeling and analysis techniques with Microsoft Excel 2019 and turn data into 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 efficiently build a relational data source in an Excel workbook.

Master modeling and business analysis techniques in Microsoft Excel 2019 and Office 365, and turn data into financial results. Written by award-winning teacher Wayne Winston, this practical, scenario-focused guide helps you use Excel to ask the right questions and get accurate, actionable answers. New coverage ranges include data types from Power Query/Get & Transform to Office 365 Geography and Stock. Practice with over 800 problems, many of which are based on real-world challenges faced by working analysts. Solve real business problems with Excel – and build a competitive advantage: Quickly move from Excel basics to advanced analytics Use PowerQuery or Get & Transform to connect, connect and refine data sources Leverage Office 365’s new geography and stock data types plus six new Features Get insights from geographic and temporal data with 3D maps Summarize data with pivot tables, descriptive statistics, histograms, and Pareto charts Use Excel trending curves, multiple regression, and exponential smoothing Delve into key financial, statistical, and time functions Master all great Excel features charts Quickly create forecasts from historical data Use Solver to optimize product mix, logistics, work schedules and investments – even evaluate sports teams Run Monte Carlo simulations of stock prices and Proposal Models Learn Basic Probability and Bayes Data Model and Power Pivot to effectively build and use relational data sources in Excel Workbook Automate repetitive analytical tasks with macros

Wayne Winston Microsoft Excel Data Analysis And Business Modeling

Wayne L. Winston is Emeritus Professor of Decision Sciences at Indiana University’s Kelley School of Business, where he has won over 40 teaching awards. He has developed spreadsheet modeling courses for Harvard Business School Publishing and has taught or consulted on the use of Excel to improve decision making at Microsoft, Cisco, Morgan Stanley, Pfizer, Verizon, US Navy, US Army and many other organizations . Double Threat! Champion, co-founded the Dallas Mavericks player tracking and rating system.

Business Skills Ser.: Microsoft® Excel Data Analysis And Business Modeling By Wayne L. Winston (2004, Trade Paperback, Revised Edition) For Sale Online

Master modeling and business analysis techniques in Microsoft Excel 2019 and Office 365, and turn data into financial results. Written by award-winning teacher Wayne Winston, this practical, scenario-focused guide helps you use Excel to ask the right questions and get accurate, actionable answers. New coverage ranges include data types from Power Query/Get & Transform to Office 365 Geography and Stock. Practice with over 800 problems, many of which are based on real-world challenges faced by working analysts. Solve real business problems with Excel – and build a competitive advantage: Quickly move from Excel basics to advanced analytics Use PowerQuery or Get & Transform to connect, connect and refine data sources Leverage Office 365’s new geography and stock data types plus six new Features Get insights from geographic and temporal data with 3D maps Summarize data with pivot tables, descriptive statistics, histograms, and Pareto charts Use Excel trending curves, multiple regression, and exponential smoothing Delve into key financial, statistical, and time functions Master all great Excel features charts Quickly create forecasts from historical data Use Solver to optimize product mix, logistics, work schedules and investments – even evaluate sports teams Run Monte Carlo simulations of stock prices and Proposal Models Learn about basic probability and the Bayesian Data Model and Power Pivot to efficiently build and use relational data sources in Excel workbook Automate repetitive analytical tasks with Excel macros; Office 2016; windows 10; data analysis; business modeling; pivot tables; descriptive statistics;

Microsoft excel 2019 data analysis and business modeling free download, microsoft excel 2013 data analysis and business modeling, microsoft excel 2019 data analysis and business modeling, microsoft excel 2016 data analysis and business modeling, microsoft excel data analysis, microsoft excel data analysis and business modeling pdf, microsoft excel 2013 data analysis and business modeling free download, data analysis and modeling techniques, microsoft excel data analysis and business modeling, microsoft excel 2019 data analysis and business modeling download, microsoft excel 2010 data analysis and business modeling, excel and data analysis

About shelly

Check Also

Which Bank Has Free Checking Account

Which Bank Has Free Checking Account – The content on this website contains links to …

How To Keep Floor Tile Grout Clean

How To Keep Floor Tile Grout Clean – We use cookies to make them awesome. …

Starting An Online Boutique Business Plan

Starting An Online Boutique Business Plan – So you’ve decided to start your own online …