[] Udemy - Marketing Analytics Forecasting Models with Excel 收录时间:2023-12-04 11:30:23 文件大小:3GB 下载次数:1 最近下载:2023-12-04 11:30:23 磁力链接: magnet:?xt=urn:btih:77d184163ebd7d7c0f2071af995d833e65ce6e3e 立即下载 复制链接 文件列表 05 - Handling Special events like Holiday sales/003 Excel_ Including the impact of Special Events.mp4 205MB 09 - Appendix 1_ Excel crash course/007 Formatting data and tables.mp4 159MB 03 - Getting Data Ready for Regression Model/005 Discriptive Data Analytics in Excel.mp4 154MB 09 - Appendix 1_ Excel crash course/006 Data Tools.mp4 128MB 07 - Handling Changing Trend & Seasonality over time/002 Excel_ Winter's method.mp4 127MB 06 - Identifying Seasonality & Trend for Forecasting/005 Excel_ Moving Average Method.mp4 120MB 05 - Handling Special events like Holiday sales/002 Excel_ Running Linear Regression using Solver.mp4 112MB 09 - Appendix 1_ Excel crash course/001 Mathematical Formulas.mp4 110MB 09 - Appendix 1_ Excel crash course/002 Textual Formulas.mp4 109MB 03 - Getting Data Ready for Regression Model/012 Dummy Variable Creation in Excel.mp4 108MB 04 - Forecasting using Regression Model/003 Assessing accuracy of predicted coefficients.mp4 104MB 03 - Getting Data Ready for Regression Model/014 Creating Correlation Matrix in Excel.mp4 102MB 08 - Forecasting models for New Products/005 Excel_ Implementing Bass Diffusion Model.mp4 102MB 04 - Forecasting using Regression Model/009 Creating Multiple Linear Regression model.mp4 98MB 06 - Identifying Seasonality & Trend for Forecasting/002 Excel_ Additive model to identify Trend & Seasonality.mp4 90MB 03 - Getting Data Ready for Regression Model/013 Correlation Analysis.mp4 80MB 02 - Basics of Forecasting/004 Creating Linear Model with Trendlines.mp4 79MB 03 - Getting Data Ready for Regression Model/003 The Data and the Data Dictionary.mp4 79MB 09 - Appendix 1_ Excel crash course/003 Logical Formulas.mp4 78MB 09 - Appendix 1_ Excel crash course/008 Pivot Tables.mp4 73MB 09 - Appendix 1_ Excel crash course/005 Lookup Formulas ( V Lookup, Hlookup, Index-Match ).mp4 64MB 04 - Forecasting using Regression Model/007 The F - statistic.mp4 64MB 08 - Forecasting models for New Products/002 Excel_ Using Logistic curve to model S-curve.mp4 62MB 06 - Identifying Seasonality & Trend for Forecasting/003 Excel_ Multiplicative model to identify Trend & Seasonality.mp4 57MB 03 - Getting Data Ready for Regression Model/007 Identifying and Treating Outliers in Excel.mp4 54MB 03 - Getting Data Ready for Regression Model/010 Variable Transformation in Excel.mp4 54MB 03 - Getting Data Ready for Regression Model/009 Identifying and Treating missing values in Excel.mp4 52MB 04 - Forecasting using Regression Model/002 Basic Equations and Ordinary Least Squares (OLS) method.mp4 50MB 04 - Forecasting using Regression Model/004 Assessing Model Accuracy_ RSE and R squared.mp4 50MB 09 - Appendix 1_ Excel crash course/004 Date-Time Formulas.mp4 49MB 08 - Forecasting models for New Products/004 Bass Diffusion Model for New Products.mp4 46MB 08 - Forecasting models for New Products/001 S-curve for New products.mp4 44MB 03 - Getting Data Ready for Regression Model/011 Dummy variable creation_ Handling qualitative data.mp4 41MB 06 - Identifying Seasonality & Trend for Forecasting/001 Models to identify Trend & Seasonality.mp4 39MB 04 - Forecasting using Regression Model/006 Multiple Linear Regression.mp4 39MB 07 - Handling Changing Trend & Seasonality over time/001 Winter's Method to accomodate changing Trend & Seasonality.mp4 37MB 08 - Forecasting models for New Products/003 Excel_ Using Gompertz curve to model S-curve.mp4 36MB 04 - Forecasting using Regression Model/005 Creating Simple Linear Regression model.mp4 31MB 03 - Getting Data Ready for Regression Model/006 Outlier Treatment.mp4 28MB 03 - Getting Data Ready for Regression Model/008 Missing Value Imputation.mp4 28MB 03 - Getting Data Ready for Regression Model/004 Univariate analysis and EDD.mp4 27MB 04 - Forecasting using Regression Model/008 Interpreting results of Categorical variables.mp4 27MB 02 - Basics of Forecasting/001 Basics of Forecasting.mp4 25MB 03 - Getting Data Ready for Regression Model/001 Gathering Business Knowledge.mp4 22MB 02 - Basics of Forecasting/003 This is a milestone_.mp4 21MB 03 - Getting Data Ready for Regression Model/002 Data Exploration.mp4 20MB 09 - Appendix 1_ Excel crash course/009 Excel Charts_ Categories of messages that can be conveyed.mp4 20MB 01 - Introduction/001 Introduction.mp4 14MB 10 - Bonus Section/001 The final milestone_.mp4 12MB 04 - Forecasting using Regression Model/001 The Problem Statement.mp4 11MB 06 - Identifying Seasonality & Trend for Forecasting/004 Moving Average Method.mp4 10MB 05 - Handling Special events like Holiday sales/001 Forecasting in presence of special events.mp4 9MB 01 - Introduction/18104846-00-INtro.pdf 455KB 03 - Getting Data Ready for Regression Model/18105162-04-06-PDE-Outlier-Treatment.pdf 355KB 03 - Getting Data Ready for Regression Model/18105152-03-04-PDE-Univariate-Analysis-Uni.pdf 333KB 04 - Forecasting using Regression Model/18105190-05-03-Simple-lin-reg-Accuracy.pdf 333KB 04 - Forecasting using Regression Model/18105198-05-03-Simple-lin-reg-Accuracy.pdf 333KB 03 - Getting Data Ready for Regression Model/18105144-03-03-PDE-Raw-Data-Analysis-Uni.pdf 332KB 04 - Forecasting using Regression Model/18105206-05-05-F-stat.pdf 328KB 03 - Getting Data Ready for Regression Model/18105164-04-05-PDE-Missing-value.pdf 316KB 04 - Forecasting using Regression Model/18105178-05-02-Simple-lin-reg.pdf 285KB 03 - Getting Data Ready for Regression Model/18105170-04-10-Correlation.pdf 257KB 04 - Forecasting using Regression Model/18105174-05-01-Intro.pdf 239KB 04 - Forecasting using Regression Model/18105204-05-04-Multiple-lin-reg.pdf 220KB 08 - Forecasting models for New Products/18104834-17-bass.pdf 210KB 05 - Handling Special events like Holiday sales/18104838-11-Special-Events.pdf 204KB 06 - Identifying Seasonality & Trend for Forecasting/18104836-12-Seasonality.pdf 204KB 08 - Forecasting models for New Products/18104830-16-S-Model.pdf 204KB 02 - Basics of Forecasting/18104840-01-reg-basics.pdf 195KB 03 - Getting Data Ready for Regression Model/18105166-04-11-Dummy-Var.pdf 163KB 07 - Handling Changing Trend & Seasonality over time/18104828-15-Winters.pdf 159KB 04 - Forecasting using Regression Model/18105212-05-06-Cat-var.pdf 155KB 03 - Getting Data Ready for Regression Model/18105126-03-01-PDE-Business-knowledge.pdf 154KB 06 - Identifying Seasonality & Trend for Forecasting/18105370-14-Moving-Average.pdf 119KB 03 - Getting Data Ready for Regression Model/18105290-05-Miss-val.xlsx 105KB 03 - Getting Data Ready for Regression Model/18105300-05-Outlier.xlsx 105KB 03 - Getting Data Ready for Regression Model/18105324-05-Outlier.xlsx 105KB 03 - Getting Data Ready for Regression Model/18105320-04-House-Price.xlsx 105KB 04 - Forecasting using Regression Model/18105224-09-multiple.xlsx 100KB 05 - Handling Special events like Holiday sales/18105326-11-Solver-reg.xlsx 100KB 03 - Getting Data Ready for Regression Model/18105260-07-Dummy-variable.xlsx 98KB 03 - Getting Data Ready for Regression Model/18105270-07-Dummy-variable.xlsx 98KB 03 - Getting Data Ready for Regression Model/18105242-08-corr.xlsx 97KB 07 - Handling Changing Trend & Seasonality over time/18105382-15-winter.xlsx 56KB 05 - Handling Special events like Holiday sales/18105336-12-SpecialEvents.xlsx 54KB 08 - Forecasting models for New Products/18105390-16-S-curve.xlsx 45KB 08 - Forecasting models for New Products/18105400-16-S-curve.xlsx 45KB 08 - Forecasting models for New Products/18105418-17-Bass.xlsx 33KB 05 - Handling Special events like Holiday sales/003 Excel_ Including the impact of Special Events_en.srt 21KB 06 - Identifying Seasonality & Trend for Forecasting/18105360-13-Seasonality.xlsx 20KB 09 - Appendix 1_ Excel crash course/006 Data Tools_en.srt 19KB 09 - Appendix 1_ Excel crash course/001 Mathematical Formulas_en.srt 18KB 09 - Appendix 1_ Excel crash course/007 Formatting data and tables_en.srt 17KB 04 - Forecasting using Regression Model/003 Assessing accuracy of predicted coefficients_en.srt 16KB 09 - Appendix 1_ Excel crash course/002 Textual Formulas_en.srt 15KB 06 - Identifying Seasonality & Trend for Forecasting/005 Excel_ Moving Average Method_en.srt 15KB 08 - Forecasting models for New Products/005 Excel_ Implementing Bass Diffusion Model_en.srt 13KB 06 - Identifying Seasonality & Trend for Forecasting/18105366-14-Moving-Avg.xlsx 13KB 06 - Identifying Seasonality & Trend for Forecasting/18105378-14-Moving-Avg.xlsx 13KB 07 - Handling Changing Trend & Seasonality over time/002 Excel_ Winter's method_en.srt 11KB 03 - Getting Data Ready for Regression Model/013 Correlation Analysis_en.srt 11KB 03 - Getting Data Ready for Regression Model/005 Discriptive Data Analytics in Excel_en.srt 10KB 04 - Forecasting using Regression Model/002 Basic Equations and Ordinary Least Squares (OLS) method_en.srt 10KB 09 - Appendix 1_ Excel crash course/003 Logical Formulas_en.srt 10KB 06 - Identifying Seasonality & Trend for Forecasting/002 Excel_ Additive model to identify Trend & Seasonality_en.srt 9KB 09 - Appendix 1_ Excel crash course/005 Lookup Formulas ( V Lookup, Hlookup, Index-Match )_en.srt 9KB 08 - Forecasting models for New Products/004 Bass Diffusion Model for New Products_en.srt 9KB 04 - Forecasting using Regression Model/007 The F - statistic_en.srt 9KB 09 - Appendix 1_ Excel crash course/008 Pivot Tables_en.srt 8KB 05 - Handling Special events like Holiday sales/002 Excel_ Running Linear Regression using Solver_en.srt 8KB 03 - Getting Data Ready for Regression Model/014 Creating Correlation Matrix in Excel_en.srt 8KB 04 - Forecasting using Regression Model/009 Creating Multiple Linear Regression model_en.srt 8KB 04 - Forecasting using Regression Model/004 Assessing Model Accuracy_ RSE and R squared_en.srt 8KB 08 - Forecasting models for New Products/001 S-curve for New products_en.srt 8KB 02 - Basics of Forecasting/004 Creating Linear Model with Trendlines_en.srt 8KB 08 - Forecasting models for New Products/002 Excel_ Using Logistic curve to model S-curve_en.srt 8KB 03 - Getting Data Ready for Regression Model/003 The Data and the Data Dictionary_en.srt 8KB 03 - Getting Data Ready for Regression Model/012 Dummy Variable Creation in Excel_en.srt 7KB 07 - Handling Changing Trend & Seasonality over time/001 Winter's Method to accomodate changing Trend & Seasonality_en.srt 7KB 09 - Appendix 1_ Excel crash course/004 Date-Time Formulas_en.srt 7KB 06 - Identifying Seasonality & Trend for Forecasting/001 Models to identify Trend & Seasonality_en.srt 7KB 06 - Identifying Seasonality & Trend for Forecasting/003 Excel_ Multiplicative model to identify Trend & Seasonality_en.srt 6KB 02 - Basics of Forecasting/001 Basics of Forecasting_en.srt 6KB 04 - Forecasting using Regression Model/006 Multiple Linear Regression_en.srt 6KB 04 - Forecasting using Regression Model/008 Interpreting results of Categorical variables_en.srt 5KB 09 - Appendix 1_ Excel crash course/009 Excel Charts_ Categories of messages that can be conveyed_en.srt 5KB 03 - Getting Data Ready for Regression Model/011 Dummy variable creation_ Handling qualitative data_en.srt 5KB 03 - Getting Data Ready for Regression Model/006 Outlier Treatment_en.srt 4KB 03 - Getting Data Ready for Regression Model/007 Identifying and Treating Outliers in Excel_en.srt 4KB 08 - Forecasting models for New Products/003 Excel_ Using Gompertz curve to model S-curve_en.srt 4KB 03 - 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Forecasting using Regression Model/001 The Problem Statement_en.srt 2KB 09 - Appendix 1_ Excel crash course/010 Popular Excel charts.html 647B 02 - Basics of Forecasting/002 Course Resources.html 408B 01 - Introduction/[Tutorialsplanet.NET].url 128B 07 - Handling Changing Trend & Seasonality over time/[Tutorialsplanet.NET].url 128B [Tutorialsplanet.NET].url 128B