Lynda - Excel Data Analysis: Forecasting {AceMerlin}


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Torrent File Content (56 files)


Excel Data Analysis - Forecasting {AceMerlin}
    6 Forecasting with Multiple Regressions
          153775_06_07_XR15_validating.mp4 -
18.44 MB

          153775_06_04_XR15_findingEquation.mp4 -
16.93 MB

          153775_06_10_SO30_XR30_solution.mp4 -
15.47 MB

          153775_06_02_XR15_preparingdata.mp4 -
15.21 MB

    3 Using a Trendline for Forecasting
          153775_03_05_XR15_autocorrelation.mp4 -
11.24 MB

    6 Forecasting with Multiple Regressions
          153775_06_05_XR15_howgood.mp4 -
10.3 MB

    3 Using a Trendline for Forecasting
          153775_03_07_SO30_XR30_solution.mp4 -
9.5 MB

          153775_03_04_XR15_standarderror.mp4 -
9.17 MB

    5 Seasonality & the Ratio-to-Moving-Average Method
          153775_05_06_XR15_forecastingahead.mp4 -
8.57 MB

    2 How Good Are Your Forecasts - Errors, Accuracy & Bias
          153775_02_08_SO30_XR30_solution.mp4 -
8.24 MB

    6 Forecasting with Multiple Regressions
          153775_06_01_XR15_whatis.mp4 -
8.16 MB

          153775_06_08_XR15_coefficents.mp4 -
8.1 MB

    4 Modeling Exponential Growth & Compound Annual Growth Rate
          153775_04_02_XR15_exponential.mp4 -
7.85 MB

    2 How Good Are Your Forecasts - Errors, Accuracy & Bias
          153775_02_03_XR15_MAPE.mp4 -
7.67 MB

    5 Seasonality & the Ratio-to-Moving-Average Method
          153775_05_04_XR15_indices.mp4 -
7.34 MB

    6 Forecasting with Multiple Regressions
          153775_06_06_XR15_makingforecasts.mp4 -
7.34 MB

    4 Modeling Exponential Growth & Compound Annual Growth Rate
          153775_04_01_XR15_lineartrendfails.mp4 -
7.27 MB

    3 Using a Trendline for Forecasting
          153775_03_03_XR15_Rsquare.mp4 -
6.45 MB

    5 Seasonality & the Ratio-to-Moving-Average Method
          153775_05_03_XR15_CMA.mp4 -
6.37 MB

    2 How Good Are Your Forecasts - Errors, Accuracy & Bias
          153775_02_01_XR15_accuracybias.mp4 -
6.1 MB

    5 Seasonality & the Ratio-to-Moving-Average Method
          153775_05_01_XR15_seasonalindex.mp4 -
5.63 MB

    2 How Good Are Your Forecasts - Errors, Accuracy & Bias
          153775_02_06_XR15_advancedbias.mp4 -
5.43 MB

    5 Seasonality & the Ratio-to-Moving-Average Method
          153775_05_09_SO30_XR30_solution.mp4 -
5.04 MB

    2 How Good Are Your Forecasts - Errors, Accuracy & Bias
          153775_02_02_XR15_MAD.mp4 -
4.99 MB

    4 Modeling Exponential Growth & Compound Annual Growth Rate
          153775_04_05_SO30_XR30_solution.mp4 -
4.66 MB

    5 Seasonality & the Ratio-to-Moving-Average Method
          153775_05_07_XR15_trendchanging.mp4 -
4.6 MB

    1 Visually Displaying Your Time-Series Data
          153775_01_07_XR15_movingaverage.mp4 -
4.51 MB

    6 Forecasting with Multiple Regressions
          153775_06_03_XR15_running_regression.mp4 -
4.44 MB

    2 How Good Are Your Forecasts - Errors, Accuracy & Bias
          153775_02_05_XR15_bias.mp4 -
4.22 MB

    1 Visually Displaying Your Time-Series Data
          153775_01_09_SO30_XR30_solution.mp4 -
4.12 MB

          153775_01_05_XR15_seasonality.mp4 -
3.99 MB

    3 Using a Trendline for Forecasting
          153775_03_01_XR15_trendline.mp4 -
3.96 MB

    4 Modeling Exponential Growth & Compound Annual Growth Rate
          153775_04_03_XR15_CAGR.mp4 -
3.9 MB

    5 Seasonality & the Ratio-to-Moving-Average Method
          153775_05_05_XR15_trend.mp4 -
3.67 MB

    1 Visually Displaying Your Time-Series Data
          153775_01_03_XR151_level.mp4 -
3.66 MB

    2 How Good Are Your Forecasts - Errors, Accuracy & Bias
          153775_02_04_XR15_SSE.mp4 -
3.44 MB

    7 Conclusion
          153775_07_01_XR15_nextsteps.mp4 -
2.91 MB

    5 Seasonality & the Ratio-to-Moving-Average Method
          153775_05_02_XR15_ratiotoMAintroduction.mp4 -
2.69 MB

    1 Visually Displaying Your Time-Series Data
          153775_01_02_XR15_plotting.mp4 -
2.58 MB

    3 Using a Trendline for Forecasting
          153775_03_02_XR15_intreprettrendline.mp4 -
2.45 MB

    1 Visually Displaying Your Time-Series Data
          153775_01_04_XR15_trend.mp4 -
2.44 MB

          153775_01_06_XR15_noise.mp4 -
2.21 MB

    6 Forecasting with Multiple Regressions
          153775_06_09_CH30_XR30_challenge.mp4 -
2.13 MB

    0 Introduction
          153775_00_01_WX30_welcome.mp4 -
2.04 MB

    1 Visually Displaying Your Time-Series Data
          153775_01_01_XR15_timeseriesdata.mp4 -
1.9 MB

    4 Modeling Exponential Growth & Compound Annual Growth Rate
          153775_04_04_CH30_XR30_challenge.mp4 -
1.12 MB

    2 How Good Are Your Forecasts - Errors, Accuracy & Bias
          153775_02_07_CH30_XR30_challenge.mp4 -
1.05 MB

    Exercise Files
          Ex_Files_ExcelDataAnalysis_Forecst.zip -
1.04 MB

    3 Using a Trendline for Forecasting
          153775_03_06_CH30_XR30_challenge.mp4 -
1.02 MB

    5 Seasonality & the Ratio-to-Moving-Average Method
          153775_05_08_CH30_XR30_challenge.mp4 -
1 MB



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
  
  Uploaded by
Request
  
  image

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