Sie sind bereits eingeloggt. Klicken Sie auf 2. tolino select Abo, um fortzufahren.
Bitte loggen Sie sich zunächst in Ihr Kundenkonto ein oder registrieren Sie sich bei bücher.de, um das eBook-Abo tolino select nutzen zu können.
Master business modeling and analysis techniques with Microsoft Excel 2019 and Office 365 and transform data into bottom-line results. Written by award-winning educator Wayne Winston, this hands-on, scenario-focused guide helps you use Excel to ask the right questions and get accurate, actionable answers. New coverage ranges from Power Query/Get & Transform to Office 365 Geography and Stock data types. Practice with more than 800 problems, many based on actual challenges faced by working analysts. Solve real business problems with Excel-and build your competitive advantage: Quickly…mehr
Master business modeling and analysis techniques with Microsoft Excel 2019 and Office 365 and transform data into bottom-line results. Written by award-winning educator Wayne Winston, this hands-on, scenario-focused guide helps you use Excel to ask the right questions and get accurate, actionable answers. New coverage ranges from Power Query/Get & Transform to Office 365 Geography and Stock data types. Practice with more than 800 problems, many based on actual challenges faced by working analysts.
Solve real business problems with Excel-and build your competitive advantage:
Quickly transition from Excel basics to sophisticated analytics
Use PowerQuery or Get & Transform to connect, combine, and refine data sources
Leverage Office 365's new Geography and Stock data types and six new functions
Illuminate insights from geographic and temporal data with 3D Maps
Summarize data with pivot tables, descriptive statistics, histograms, and Pareto charts
Use Excel trend curves, multiple regression, and exponential smoothing
Delve into key financial, statistical, and time functions
Master all of Excel's great charts
Quickly create forecasts from historical time-based data
Use Solver to optimize product mix, logistics, work schedules, and investments-and even rate sports teams
Run Monte Carlo simulations on stock prices and bidding models
Learn about basic probability and Bayes' Theorem
Use the Data Model and Power Pivot to effectively build and use relational data sources inside an Excel workbook
Automate repetitive analytics tasks by using macros
Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.
Wayne L. Winston is Professor Emeritus of Decision Sciences at Indiana University's Kelley School of Business, where he won 40+ teaching awards. He developed spreadsheet modeling coursework for Harvard Business School Publishing, and has taught or consulted on using Excel to improve decision-making at Microsoft, Cisco, Morgan Stanley, Pfizer, Verizon, the U.S. Navy, U.S. Army, and many other organizations. A two-time Jeopardy! Champion, he co-developed the Dallas Mavericks' player tracking and rating system.
Inhaltsangabe
* Chapter 1 Basic spreadsheet modeling * Chapter 2 Range names * Chapter 3 Lookup functions * Chapter 4 The INDEX function * Chapter 5 The MATCH function * Chapter 6 Text functions * Chapter 7 Dates and date functions * Chapter 8 Evaluating investment by 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 The Paste Special command * Chapter 15 Three-dimensional formulas and hyperlinks * Chapter 16 The auditing tool * Chapter 17 Sensitivity analysis with data tables * Chapter 18 The Goal Seek command * Chapter 19 Using the Scenario Manager for sensitivity analysis * Chapter 20 The COUNTIF, COUNTIFS, COUNT, COUNTA, and COUNTBLANK functions * Chapter 21 The SUMIF, AVERAGEIF, SUMIFS, and AVERAGEIFS functions * Chapter 22 The OFFSET function * Chapter 23 The INDIRECT function * Chapter 24 Conditional formatting * Chapter 25 Sorting in Excel * Chapter 26 Tables * Chapter 27 Spin buttons, scroll bars, option buttons, check boxes, combo boxes, and group list boxes * Chapter 28 The analytics revolution * Chapter 29 An introduction to optimization with Excel Solver * Chapter 30 Using Solver to determine the optimal product mix * Chapter 31 Using Solver to schedule your workforce * 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 to rate sports teams * Chapter 36 Warehouse location and the GRG Multistart and Evolutionary Solver engines * Chapter 37 Penalties and the Evolutionary Solver * Chapter 38 The traveling salesperson problem * Chapter 39 Importing data from a text file or document * Chapter 40 Validating data * Chapter 41 Summarizing data by using histograms and Pareto charts * Chapter 42 Summarizing data by using descriptive statistics * Chapter 43 Using PivotTables and slicers to describe data * Chapter 44 The Data Model * Chapter 45 Power Pivot * Chapter 46 Power View and 3D Maps * Chapter 47 Sparklines * Chapter 48 Summarizing 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 Modeling exponential growth * Chapter 55 The power curve * Chapter 56 Using correlations to summarize relationships * Chapter 57 Introduction to multiple regression * Chapter 58 Incorporating qualitative factors into multiple regression * Chapter 59 Modeling nonlinearities and interactions * Chapter 60 Analysis of variance: One-way ANOVA * Chapter 61 Randomized blocks and two-way ANOVA * Chapter 62 Using moving averages to understand time series * Chapter 63 Winters method * Chapter 64 Ratio-to-moving-average forecast method * Chapter 65 Forecasting in the presence of special events * Chapter 66 An introduction to probability * Chapter 67 An introduction to random variables * Chap
* Chapter 1 Basic spreadsheet modeling * Chapter 2 Range names * Chapter 3 Lookup functions * Chapter 4 The INDEX function * Chapter 5 The MATCH function * Chapter 6 Text functions * Chapter 7 Dates and date functions * Chapter 8 Evaluating investment by 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 The Paste Special command * Chapter 15 Three-dimensional formulas and hyperlinks * Chapter 16 The auditing tool * Chapter 17 Sensitivity analysis with data tables * Chapter 18 The Goal Seek command * Chapter 19 Using the Scenario Manager for sensitivity analysis * Chapter 20 The COUNTIF, COUNTIFS, COUNT, COUNTA, and COUNTBLANK functions * Chapter 21 The SUMIF, AVERAGEIF, SUMIFS, and AVERAGEIFS functions * Chapter 22 The OFFSET function * Chapter 23 The INDIRECT function * Chapter 24 Conditional formatting * Chapter 25 Sorting in Excel * Chapter 26 Tables * Chapter 27 Spin buttons, scroll bars, option buttons, check boxes, combo boxes, and group list boxes * Chapter 28 The analytics revolution * Chapter 29 An introduction to optimization with Excel Solver * Chapter 30 Using Solver to determine the optimal product mix * Chapter 31 Using Solver to schedule your workforce * 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 to rate sports teams * Chapter 36 Warehouse location and the GRG Multistart and Evolutionary Solver engines * Chapter 37 Penalties and the Evolutionary Solver * Chapter 38 The traveling salesperson problem * Chapter 39 Importing data from a text file or document * Chapter 40 Validating data * Chapter 41 Summarizing data by using histograms and Pareto charts * Chapter 42 Summarizing data by using descriptive statistics * Chapter 43 Using PivotTables and slicers to describe data * Chapter 44 The Data Model * Chapter 45 Power Pivot * Chapter 46 Power View and 3D Maps * Chapter 47 Sparklines * Chapter 48 Summarizing 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 Modeling exponential growth * Chapter 55 The power curve * Chapter 56 Using correlations to summarize relationships * Chapter 57 Introduction to multiple regression * Chapter 58 Incorporating qualitative factors into multiple regression * Chapter 59 Modeling nonlinearities and interactions * Chapter 60 Analysis of variance: One-way ANOVA * Chapter 61 Randomized blocks and two-way ANOVA * Chapter 62 Using moving averages to understand time series * Chapter 63 Winters method * Chapter 64 Ratio-to-moving-average forecast method * Chapter 65 Forecasting in the presence of special events * Chapter 66 An introduction to probability * Chapter 67 An introduction to random variables * Chap
Es gelten unsere Allgemeinen Geschäftsbedingungen: www.buecher.de/agb
Impressum
www.buecher.de ist ein Internetauftritt der buecher.de internetstores GmbH
Geschäftsführung: Monica Sawhney | Roland Kölbl | Günter Hilger
Sitz der Gesellschaft: Batheyer Straße 115 - 117, 58099 Hagen
Postanschrift: Bürgermeister-Wegele-Str. 12, 86167 Augsburg
Amtsgericht Hagen HRB 13257
Steuernummer: 321/5800/1497