Lynda - Excel Data Analysis: Forecasting {AceMerlin}

seeders: 28
leechers: 8
Added on September 24, 2014 by AceMerlinin Other > Tutorials
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Lynda - Excel Data Analysis: Forecasting {AceMerlin} (Size: 296.48 MB)
 153775_00_01_WX30_welcome.mp42.04 MB
 153775_00_04_XR15_Exercisefiles.mp4917.91 KB
 153775_00_05_XR15_Challenges.mp4788.61 KB
 153775_00_03_XR15_whatknow.mp4750.79 KB
 153775_00_02_XR15_whofor.mp4702.93 KB
 153775_01_07_XR15_movingaverage.mp44.51 MB
 153775_01_09_SO30_XR30_solution.mp44.12 MB
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 153775_01_03_XR151_level.mp43.66 MB
 153775_01_02_XR15_plotting.mp42.58 MB
 153775_01_04_XR15_trend.mp42.44 MB
 153775_01_06_XR15_noise.mp42.21 MB
 153775_01_01_XR15_timeseriesdata.mp41.9 MB
 153775_01_08_CH30_XR30_challenge.mp4842.01 KB
 153775_02_08_SO30_XR30_solution.mp48.24 MB
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 153775_02_07_CH30_XR30_challenge.mp41.05 MB
 153775_03_05_XR15_autocorrelation.mp411.24 MB
 153775_03_07_SO30_XR30_solution.mp49.5 MB
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 153775_03_03_XR15_Rsquare.mp46.45 MB
 153775_03_01_XR15_trendline.mp43.96 MB
 153775_03_02_XR15_intreprettrendline.mp42.45 MB
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 153775_04_03_XR15_CAGR.mp43.9 MB
 153775_04_04_CH30_XR30_challenge.mp41.12 MB
 153775_05_06_XR15_forecastingahead.mp48.57 MB
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 153775_05_03_XR15_CMA.mp46.37 MB
 153775_05_01_XR15_seasonalindex.mp45.63 MB
 153775_05_09_SO30_XR30_solution.mp45.04 MB
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 153775_05_02_XR15_ratiotoMAintroduction.mp42.69 MB
 153775_05_08_CH30_XR30_challenge.mp41 MB
 153775_06_07_XR15_validating.mp418.44 MB
 153775_06_04_XR15_findingEquation.mp416.93 MB
 153775_06_10_SO30_XR30_solution.mp415.47 MB
 153775_06_02_XR15_preparingdata.mp415.21 MB
 153775_06_05_XR15_howgood.mp410.3 MB
 153775_06_01_XR15_whatis.mp48.16 MB
 153775_06_08_XR15_coefficents.mp48.1 MB
 153775_06_06_XR15_makingforecasts.mp47.34 MB
 153775_06_03_XR15_running_regression.mp44.44 MB
 153775_06_09_CH30_XR30_challenge.mp42.13 MB
 153775_07_01_XR15_nextsteps.mp42.91 MB
 Ex_Files_ExcelDataAnalysis_Forecst.zip1.04 MB
 AceMerlin.Torrents.nfo4.81 KB


Description

Excel Data Analysis: Forecasting with Wayne Winston

Professor Wayne Winston has taught advanced forecasting techniques to Fortune 500 companies for more than twenty years. In this course, he shows how to use Excel's data-analysis tools—including charts, formulas, and functions—to create accurate and insightful forecasts. Learn how to display time-series data visually; make sure your forecasts are accurate, by computing for errors and bias; use trendlines to identify trends and outlier data; model growth; account for seasonality; and identify unknown variables, with multiple regression analysis. A series of practice challenges along the way helps you test your skills and compare your work to Wayne's solutions.

Level: Intermediate
Length: 3h 7m
Released: September 5, 2014

Topics include:
Plotting and displaying time-series data
Creating a moving average chart
Accounting for errors and bias
Using and interpreting trendlines
Modeling exponential growth
Calculating compound annual growth rate (CAGR)
Analyzing the impact of seasonality
Introducing the ratio-to-moving-average method
Forecasting with multiple regression

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296.48 MB
seeders:28
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Lynda - Excel Data Analysis: Forecasting {AceMerlin}

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Thanx for the upload
waiting for the next one