[GigaCourse.com] Udemy - Marketing Analytics Forecasting Models with Excel

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[GigaCourse.com] Udemy - Marketing Analytics Forecasting Models with Excel

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收录时间：2021-01-14
最近下载：2024-10-15

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文件列表

  • 5. Handling Special events like Holiday sales/3. Excel Including the impact of Special Events.mp4 215.2 MB
  • 9. Appendix 1 Excel crash course/7. Formatting data and tables.mp4 167.0 MB
  • 3. Getting Data Ready for Regression Model/5. Discriptive Data Analytics in Excel.mp4 161.0 MB
  • 9. Appendix 1 Excel crash course/6. Data Tools.mp4 134.2 MB
  • 7. Handling Changing Trend & Seasonality over time/2. Excel Winter's method.mp4 132.9 MB
  • 6. Identifying Seasonality & Trend for Forecasting/7. Excel Moving Average Method.mp4 125.6 MB
  • 5. Handling Special events like Holiday sales/2. Excel Running Linear Regression using Solver.mp4 117.1 MB
  • 9. Appendix 1 Excel crash course/1. Mathematical Formulas.mp4 114.8 MB
  • 9. Appendix 1 Excel crash course/2. Textual Formulas.mp4 114.4 MB
  • 3. Getting Data Ready for Regression Model/12. Dummy Variable Creation in Excel.mp4 113.2 MB
  • 4. Forecasting using Regression Model/3. Assessing accuracy of predicted coefficients.mp4 109.5 MB
  • 3. Getting Data Ready for Regression Model/14. Creating Correlation Matrix in Excel.mp4 107.1 MB
  • 8. Forecasting models for New Products/5. Excel Implementing Bass Diffusion Model.mp4 106.5 MB
  • 4. Forecasting using Regression Model/9. Creating Multiple Linear Regression model.mp4 102.3 MB
  • 6. Identifying Seasonality & Trend for Forecasting/3. Excel Additive model to identify Trend & Seasonality.mp4 94.0 MB
  • 3. Getting Data Ready for Regression Model/13. Correlation Analysis.mp4 84.0 MB
  • 2. Basics of Forecasting/3. Creating Linear Model with Trendlines.mp4 82.8 MB
  • 3. Getting Data Ready for Regression Model/3. The Data and the Data Dictionary.mp4 82.4 MB
  • 9. Appendix 1 Excel crash course/3. Logical Formulas.mp4 81.5 MB
  • 9. Appendix 1 Excel crash course/8. Pivot Tables.mp4 76.7 MB
  • 9. Appendix 1 Excel crash course/5. Lookup Formulas ( V Lookup, Hlookup, Index-Match ).mp4 67.5 MB
  • 4. Forecasting using Regression Model/7. The F - statistic.mp4 67.2 MB
  • 8. Forecasting models for New Products/2. Excel Using Logistic curve to model S-curve.mp4 65.4 MB
  • 6. Identifying Seasonality & Trend for Forecasting/4. Excel Multiplicative model to identify Trend & Seasonality.mp4 60.1 MB
  • 3. Getting Data Ready for Regression Model/7. Identifying and Treating Outliers in Excel.mp4 57.2 MB
  • 3. Getting Data Ready for Regression Model/10. Variable Transformation in Excel.mp4 56.8 MB
  • 3. Getting Data Ready for Regression Model/9. Identifying and Treating missing values in Excel.mp4 54.3 MB
  • 3. Getting Data Ready for Regression Model/11.1 04_11_Dummy_Var.pdf 54.2 MB
  • 4. Forecasting using Regression Model/2. Basic Equations and Ordinary Least Squares (OLS) method.mp4 52.7 MB
  • 4. Forecasting using Regression Model/4. Assessing Model Accuracy RSE and R squared.mp4 52.1 MB
  • 9. Appendix 1 Excel crash course/4. Date-Time Formulas.mp4 51.2 MB
  • 8. Forecasting models for New Products/4. Bass Diffusion Model for New Products.mp4 48.4 MB
  • 8. Forecasting models for New Products/1. S-curve for New products.mp4 46.4 MB
  • 3. Getting Data Ready for Regression Model/11. Dummy variable creation Handling qualitative data.mp4 42.6 MB
  • 3. Getting Data Ready for Regression Model/6. Outlier Treatment.mp4 42.3 MB
  • 6. Identifying Seasonality & Trend for Forecasting/1. Models to identify Trend & Seasonality.mp4 41.0 MB
  • 4. Forecasting using Regression Model/6. Multiple Linear Regression.mp4 40.8 MB
  • 7. Handling Changing Trend & Seasonality over time/1. Winter's Method to accomodate changing Trend & Seasonality.mp4 39.1 MB
  • 8. Forecasting models for New Products/3. Excel Using Gompertz curve to model S-curve.mp4 37.7 MB
  • 2. Basics of Forecasting/2. Course resources.html 33.4 MB
  • 4. Forecasting using Regression Model/5. Creating Simple Linear Regression model.mp4 32.6 MB
  • 9. Appendix 1 Excel crash course/10. Elements of charts.mp4 30.8 MB
  • 3. Getting Data Ready for Regression Model/8. Missing Value Imputation.mp4 28.9 MB
  • 3. Getting Data Ready for Regression Model/4. Univariate analysis and EDD.mp4 28.6 MB
  • 4. Forecasting using Regression Model/8. Interpreting results of Categorical variables.mp4 28.5 MB
  • 2. Basics of Forecasting/1. Basics of Forecasting.mp4 26.5 MB
  • 3. Getting Data Ready for Regression Model/2. Data Exploration.mp4 24.6 MB
  • 3. Getting Data Ready for Regression Model/1. Gathering Business Knowledge.mp4 23.0 MB
  • 9. Appendix 1 Excel crash course/11. The Easy way of creating charts.mp4 22.7 MB
  • 9. Appendix 1 Excel crash course/9. Excel Charts Categories of messages that can be conveyed.mp4 20.9 MB
  • 1. Introduction/1. Introduction.mp4 15.1 MB
  • 4. Forecasting using Regression Model/1. The Problem Statement.mp4 11.2 MB
  • 6. Identifying Seasonality & Trend for Forecasting/5. Moving Average Method.mp4 10.1 MB
  • 5. Handling Special events like Holiday sales/1. Forecasting in presence of special events.mp4 9.4 MB
  • 2. Basics of Forecasting/2.1 Files_forecasting.zip 3.1 MB
  • 1. Introduction/1.1 00_INtro.pdf 465.9 kB
  • 3. Getting Data Ready for Regression Model/6.1 04_06_PDE_Outlier_Treatment.pdf 363.7 kB
  • 3. Getting Data Ready for Regression Model/4.2 03_04_PDE_Univariate_Analysis_Uni.pdf 341.4 kB
  • 4. Forecasting using Regression Model/3.1 05_03_Simple_lin_reg_Accuracy.pdf 340.7 kB
  • 4. Forecasting using Regression Model/4.1 05_03_Simple_lin_reg_Accuracy.pdf 340.7 kB
  • 3. Getting Data Ready for Regression Model/3.1 03_03_PDE_Raw_Data_Analysis_Uni.pdf 339.9 kB
  • 4. Forecasting using Regression Model/7.1 05_05_F_stat.pdf 336.4 kB
  • 3. Getting Data Ready for Regression Model/2.1 03_02_PDE_Data_exploration.pdf 330.7 kB
  • 3. Getting Data Ready for Regression Model/8.1 04_05_PDE_Missing_value.pdf 323.3 kB
  • 4. Forecasting using Regression Model/2.1 05_02_Simple_lin_reg.pdf 301.8 kB
  • 3. Getting Data Ready for Regression Model/13.1 04_10_Correlation.pdf 263.1 kB
  • 4. Forecasting using Regression Model/1.1 05_01_Intro.pdf 245.1 kB
  • 4. Forecasting using Regression Model/6.1 05_04_Multiple_lin_reg.pdf 225.1 kB
  • 8. Forecasting models for New Products/4.1 17_bass.pdf 214.6 kB
  • 5. Handling Special events like Holiday sales/1.1 11_Special Events.pdf 209.0 kB
  • 6. Identifying Seasonality & Trend for Forecasting/1.1 12_Seasonality.pdf 209.0 kB
  • 8. Forecasting models for New Products/1.1 16_S_Model.pdf 208.4 kB
  • 2. Basics of Forecasting/1.1 01_reg_basics.pdf 199.8 kB
  • 7. Handling Changing Trend & Seasonality over time/1.1 15_Winters.pdf 162.9 kB
  • 4. Forecasting using Regression Model/8.1 05_06_Cat_var.pdf 159.2 kB
  • 3. Getting Data Ready for Regression Model/1.1 03_01_PDE_Business_knowledge.pdf 157.6 kB
  • 6. Identifying Seasonality & Trend for Forecasting/5.1 14_Moving_Average.pdf 122.2 kB
  • 3. Getting Data Ready for Regression Model/5.1 05_Outlier.xlsx 107.4 kB
  • 3. Getting Data Ready for Regression Model/7.1 05_Outlier.xlsx 107.4 kB
  • 3. Getting Data Ready for Regression Model/9.1 05_Miss_val.xlsx 107.4 kB
  • 3. Getting Data Ready for Regression Model/4.1 04_House_Price.xlsx 107.3 kB
  • 4. Forecasting using Regression Model/9.1 09_multiple.xlsx 102.9 kB
  • 5. Handling Special events like Holiday sales/2.1 11_Solver_reg.xlsx 102.2 kB
  • 3. Getting Data Ready for Regression Model/10.1 07_Dummy variable.xlsx 100.5 kB
  • 3. Getting Data Ready for Regression Model/12.1 07_Dummy variable.xlsx 100.5 kB
  • 3. Getting Data Ready for Regression Model/14.1 08_corr.xlsx 99.2 kB
  • 7. Handling Changing Trend & Seasonality over time/2.1 15_winter.xlsx 57.9 kB
  • 5. Handling Special events like Holiday sales/3.1 12_SpecialEvents.xlsx 55.5 kB
  • 8. Forecasting models for New Products/2.1 16_S_curve.xlsx 46.6 kB
  • 8. Forecasting models for New Products/3.1 16_S_curve.xlsx 46.6 kB
  • 8. Forecasting models for New Products/5.1 17_Bass.xlsx 34.1 kB
  • 5. Handling Special events like Holiday sales/3. Excel Including the impact of Special Events.srt 21.1 kB
  • 6. Identifying Seasonality & Trend for Forecasting/3.1 13_Seasonality.xlsx 20.8 kB
  • 9. Appendix 1 Excel crash course/6. Data Tools.srt 20.0 kB
  • 9. Appendix 1 Excel crash course/1. Mathematical Formulas.srt 18.1 kB
  • 9. Appendix 1 Excel crash course/7. Formatting data and tables.srt 17.4 kB
  • 4. Forecasting using Regression Model/3. Assessing accuracy of predicted coefficients.srt 16.2 kB
  • 9. Appendix 1 Excel crash course/2. Textual Formulas.srt 15.5 kB
  • 6. Identifying Seasonality & Trend for Forecasting/7. Excel Moving Average Method.srt 15.1 kB
  • 8. Forecasting models for New Products/5. Excel Implementing Bass Diffusion Model.srt 13.2 kB
  • 6. Identifying Seasonality & Trend for Forecasting/5.2 14_Moving_Avg.xlsx 13.0 kB
  • 6. Identifying Seasonality & Trend for Forecasting/7.1 14_Moving_Avg.xlsx 13.0 kB
  • 7. Handling Changing Trend & Seasonality over time/2. Excel Winter's method.srt 11.6 kB
  • 3. Getting Data Ready for Regression Model/13. Correlation Analysis.srt 10.9 kB
  • 3. Getting Data Ready for Regression Model/5. Discriptive Data Analytics in Excel.srt 10.5 kB
  • 4. Forecasting using Regression Model/2. Basic Equations and Ordinary Least Squares (OLS) method.srt 10.1 kB
  • 9. Appendix 1 Excel crash course/3. Logical Formulas.srt 9.8 kB
  • 6. Identifying Seasonality & Trend for Forecasting/3. Excel Additive model to identify Trend & Seasonality.srt 9.6 kB
  • 9. Appendix 1 Excel crash course/5. Lookup Formulas ( V Lookup, Hlookup, Index-Match ).srt 9.6 kB
  • 8. Forecasting models for New Products/4. Bass Diffusion Model for New Products.srt 9.4 kB
  • 4. Forecasting using Regression Model/7. The F - statistic.srt 9.2 kB
  • 9. Appendix 1 Excel crash course/8. Pivot Tables.srt 8.6 kB
  • 5. Handling Special events like Holiday sales/2. Excel Running Linear Regression using Solver.srt 8.6 kB
  • 3. Getting Data Ready for Regression Model/14. Creating Correlation Matrix in Excel.srt 8.5 kB
  • 4. Forecasting using Regression Model/9. Creating Multiple Linear Regression model.srt 8.2 kB
  • 4. Forecasting using Regression Model/4. Assessing Model Accuracy RSE and R squared.srt 8.2 kB
  • 8. Forecasting models for New Products/1. S-curve for New products.srt 8.2 kB
  • 2. Basics of Forecasting/3. Creating Linear Model with Trendlines.srt 8.1 kB
  • 8. Forecasting models for New Products/2. Excel Using Logistic curve to model S-curve.srt 8.0 kB
  • 3. Getting Data Ready for Regression Model/3. The Data and the Data Dictionary.srt 8.0 kB
  • 3. Getting Data Ready for Regression Model/12. Dummy Variable Creation in Excel.srt 7.0 kB
  • 7. Handling Changing Trend & Seasonality over time/1. Winter's Method to accomodate changing Trend & Seasonality.srt 6.9 kB
  • 9. Appendix 1 Excel crash course/4. Date-Time Formulas.srt 6.9 kB
  • 6. Identifying Seasonality & Trend for Forecasting/1. Models to identify Trend & Seasonality.srt 6.8 kB
  • 6. Identifying Seasonality & Trend for Forecasting/4. Excel Multiplicative model to identify Trend & Seasonality.srt 6.3 kB
  • 2. Basics of Forecasting/1. Basics of Forecasting.srt 6.0 kB
  • 4. Forecasting using Regression Model/6. Multiple Linear Regression.srt 5.9 kB
  • 9. Appendix 1 Excel crash course/10. Elements of charts.srt 5.8 kB
  • 4. Forecasting using Regression Model/8. Interpreting results of Categorical variables.srt 5.4 kB
  • 9. Appendix 1 Excel crash course/9. Excel Charts Categories of messages that can be conveyed.srt 5.2 kB
  • 3. Getting Data Ready for Regression Model/11. Dummy variable creation Handling qualitative data.srt 5.0 kB
  • 3. Getting Data Ready for Regression Model/6. Outlier Treatment.srt 4.6 kB
  • 3. Getting Data Ready for Regression Model/7. Identifying and Treating Outliers in Excel.srt 4.4 kB
  • 8. Forecasting models for New Products/3. Excel Using Gompertz curve to model S-curve.srt 4.3 kB
  • 3. Getting Data Ready for Regression Model/8. Missing Value Imputation.srt 4.2 kB
  • 3. Getting Data Ready for Regression Model/9. Identifying and Treating missing values in Excel.srt 4.0 kB
  • 3. Getting Data Ready for Regression Model/10. Variable Transformation in Excel.srt 3.9 kB
  • 1. Introduction/1. Introduction.srt 3.8 kB
  • 3. Getting Data Ready for Regression Model/2. Data Exploration.srt 3.7 kB
  • 3. Getting Data Ready for Regression Model/1. Gathering Business Knowledge.srt 3.6 kB
  • 3. Getting Data Ready for Regression Model/4. Univariate analysis and EDD.srt 3.5 kB
  • 9. Appendix 1 Excel crash course/11. The Easy way of creating charts.srt 3.5 kB
  • 5. Handling Special events like Holiday sales/1. Forecasting in presence of special events.srt 3.2 kB
  • 4. Forecasting using Regression Model/5. Creating Simple Linear Regression model.srt 2.6 kB
  • 6. Identifying Seasonality & Trend for Forecasting/5. Moving Average Method.srt 1.7 kB
  • 4. Forecasting using Regression Model/1. The Problem Statement.srt 1.7 kB
  • 10. Bonus Section/1. Congratulations & About your certificate.html 1.6 kB
  • 10. Bonus Section/2. Bonus Lecture.html 1.5 kB
  • 0. Extras (Coupons & Freebies)/Readme.txt 962 Bytes
  • 0. Websites You May Like/Readme.txt 962 Bytes
  • 4. Forecasting using Regression Model/10. Assignment 1 Regression based Forecasting.html 164 Bytes
  • 6. Identifying Seasonality & Trend for Forecasting/8. Assignment 2 Identifying Trend and Seasonality.html 164 Bytes
  • 8. Forecasting models for New Products/7. Assignment 3 Bass Model.html 164 Bytes
  • 6. Identifying Seasonality & Trend for Forecasting/2. Quiz.html 160 Bytes
  • 6. Identifying Seasonality & Trend for Forecasting/6. Quiz.html 160 Bytes
  • 8. Forecasting models for New Products/6. Final Course Quiz.html 160 Bytes
  • 0. Extras (Coupons & Freebies)/100 % OFF Lifetime Access Coupons.url 131 Bytes
  • 0. Extras (Coupons & Freebies)/Free Udemy Coupons.url 131 Bytes
  • 0. Websites You May Like/100 % OFF Lifetime Access Coupons.url 131 Bytes
  • 0. Websites You May Like/Free Udemy Coupons.url 131 Bytes
  • 0. Extras (Coupons & Freebies)/[GigaCourse.com].url 49 Bytes
  • 0. Websites You May Like/[GigaCourse.com].url 49 Bytes
  • [GigaCourse.com].url 49 Bytes

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