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种子名称:
Lynda - Excel Data Analysis Forecasting[TutDownload]
文件类型:
视频
文件数目:
54个文件
文件大小:
808.66 MB
收录时间:
2018-10-11 18:59
已经下载:
3次
资源热度:
136
最近下载:
2024-12-6 17:25
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Lynda - Excel Data Analysis Forecasting[TutDownload].torrent
6. Forecasting with Multiple Regressions/06_07-validating.mp444.01MB
6. Forecasting with Multiple Regressions/06_04-findingEquation.mp442.79MB
6. Forecasting with Multiple Regressions/06_02-preparingdata.mp442.04MB
3. Using a Trendline for Forecasting/03_05-autocorrelation.mp431.92MB
3. Using a Trendline for Forecasting/03_04-standarderror.mp429.92MB
6. Forecasting with Multiple Regressions/06_01-whatis.mp428.46MB
4. Modeling Exponential Growth and Compound Annual Growth Rate (CAGR)/04_02-exponential.mp426.34MB
6. Forecasting with Multiple Regressions/06_05-howgood.mp426.31MB
2. How Good Are Your Forecasts Errors, Accuracy, and Bias/02_03-MAPE.mp425.7MB
4. Modeling Exponential Growth and Compound Annual Growth Rate (CAGR)/04_01-lineartrendfails.mp425.37MB
5. Seasonality and the Ratio-to-Moving-Average Method/05_06-forecastingahead.mp423.49MB
6. Forecasting with Multiple Regressions/06_10-solution.mp422.55MB
3. Using a Trendline for Forecasting/03_03-Rsquare.mp422.05MB
2. How Good Are Your Forecasts Errors, Accuracy, and Bias/02_01-accuracybias.mp420.97MB
5. Seasonality and the Ratio-to-Moving-Average Method/05_01-seasonalindex.mp420.94MB
6. Forecasting with Multiple Regressions/06_06-makingforecasts.mp420.74MB
6. Forecasting with Multiple Regressions/06_08-coefficents.mp420.51MB
5. Seasonality and the Ratio-to-Moving-Average Method/05_04-indices.mp420.19MB
5. Seasonality and the Ratio-to-Moving-Average Method/05_03-CMA.mp419.15MB
2. How Good Are Your Forecasts Errors, Accuracy, and Bias/02_02-MAD.mp418.17MB
2. How Good Are Your Forecasts Errors, Accuracy, and Bias/02_06-advancedbias.mp417.83MB
2. How Good Are Your Forecasts Errors, Accuracy, and Bias/02_05-bias.mp415.85MB
5. Seasonality and the Ratio-to-Moving-Average Method/05_07-trendchanging.mp414.65MB
1. Visually Displaying Your Time-Series Data/01_07-movingaverage.mp414.27MB
3. Using a Trendline for Forecasting/03_01-trendline.mp414.07MB
3. Using a Trendline for Forecasting/03_07-solution.mp413.73MB
4. Modeling Exponential Growth and Compound Annual Growth Rate (CAGR)/04_03-CAGR.mp413.03MB
2. How Good Are Your Forecasts Errors, Accuracy, and Bias/02_04-SSE.mp412.46MB
2. How Good Are Your Forecasts Errors, Accuracy, and Bias/02_08-solution.mp412.29MB
Conclusion/07_01-nextsteps.mp412.28MB
1. Visually Displaying Your Time-Series Data/01_05-seasonality.mp412.01MB
6. Forecasting with Multiple Regressions/06_03-running_regression.mp411.78MB
1. Visually Displaying Your Time-Series Data/01_03-level.mp411.15MB
5. Seasonality and the Ratio-to-Moving-Average Method/05_05-trend.mp49.7MB
3. Using a Trendline for Forecasting/03_02-intreprettrendline.mp48.72MB
5. Seasonality and the Ratio-to-Moving-Average Method/05_02-ratiotoMAintroduction.mp48.11MB
1. Visually Displaying Your Time-Series Data/01_02-plotting.mp47.83MB
5. Seasonality and the Ratio-to-Moving-Average Method/05_09-solution.mp47.75MB
1. Visually Displaying Your Time-Series Data/01_06-noise.mp47.39MB
1. Visually Displaying Your Time-Series Data/01_04-trend.mp46.6MB
1. Visually Displaying Your Time-Series Data/01_09-solution.mp46.4MB
4. Modeling Exponential Growth and Compound Annual Growth Rate (CAGR)/04_05-solution.mp46.3MB
1. Visually Displaying Your Time-Series Data/01_01-timeseriesdata.mp45.6MB
0. Introduction/00_01-welcome.mp44.26MB
0. Introduction/00_04-Exercisefiles.mp43.37MB
0. Introduction/00_03-whatknow.mp43.15MB
6. Forecasting with Multiple Regressions/06_09-challenge.mp43.11MB
0. Introduction/00_02-whofor.mp42.75MB
0. Introduction/00_05-Challenges.mp42.49MB
4. Modeling Exponential Growth and Compound Annual Growth Rate (CAGR)/04_04-challenge.mp41.75MB
2. How Good Are Your Forecasts Errors, Accuracy, and Bias/02_07-challenge.mp41.72MB
3. Using a Trendline for Forecasting/03_06-challenge.mp41.64MB
5. Seasonality and the Ratio-to-Moving-Average Method/05_08-challenge.mp41.58MB
1. Visually Displaying Your Time-Series Data/01_08-challenge.mp41.4MB