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[] Udemy - Marketing Analytics Forecasting Models with Excel

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文件列表

  1. 5. Handling Special events like Holiday sales/3. Excel Including the impact of Special Events.mp4 205MB
  2. 9. Appendix 1 Excel crash course/7. Formatting data and tables.mp4 159MB
  3. 3. Getting Data Ready for Regression Model/5. Discriptive Data Analytics in Excel.mp4 154MB
  4. 9. Appendix 1 Excel crash course/6. Data Tools.mp4 128MB
  5. 7. Handling Changing Trend & Seasonality over time/2. Excel Winter's method.mp4 127MB
  6. 6. Identifying Seasonality & Trend for Forecasting/6. Excel Moving Average Method.mp4 120MB
  7. 5. Handling Special events like Holiday sales/2. Excel Running Linear Regression using Solver.mp4 112MB
  8. 9. Appendix 1 Excel crash course/1. Mathematical Formulas.mp4 110MB
  9. 9. Appendix 1 Excel crash course/2. Textual Formulas.mp4 109MB
  10. 3. Getting Data Ready for Regression Model/12. Dummy Variable Creation in Excel.mp4 108MB
  11. 4. Forecasting using Regression Model/3. Assessing accuracy of predicted coefficients.mp4 104MB
  12. 3. Getting Data Ready for Regression Model/14. Creating Correlation Matrix in Excel.mp4 102MB
  13. 8. Forecasting models for New Products/5. Excel Implementing Bass Diffusion Model.mp4 102MB
  14. 4. Forecasting using Regression Model/9. Creating Multiple Linear Regression model.mp4 98MB
  15. 6. Identifying Seasonality & Trend for Forecasting/2. Excel Additive model to identify Trend & Seasonality.mp4 90MB
  16. 3. Getting Data Ready for Regression Model/13. Correlation Analysis.mp4 80MB
  17. 2. Basics of Forecasting/3. Creating Linear Model with Trendlines.mp4 79MB
  18. 3. Getting Data Ready for Regression Model/3. The Data and the Data Dictionary.mp4 79MB
  19. 9. Appendix 1 Excel crash course/3. Logical Formulas.mp4 78MB
  20. 9. Appendix 1 Excel crash course/8. Pivot Tables.mp4 73MB
  21. 3. Getting Data Ready for Regression Model/7. Identifying and Treating Outliers in Excel.mp4 64MB
  22. 9. Appendix 1 Excel crash course/5. Lookup Formulas ( V Lookup, Hlookup, Index-Match ).mp4 64MB
  23. 4. Forecasting using Regression Model/7. The F - statistic.mp4 64MB
  24. 8. Forecasting models for New Products/2. Excel Using Logistic curve to model S-curve.mp4 62MB
  25. 6. Identifying Seasonality & Trend for Forecasting/3. Excel Multiplicative model to identify Trend & Seasonality.mp4 57MB
  26. 3. Getting Data Ready for Regression Model/10. Variable Transformation in Excel.mp4 54MB
  27. 3. Getting Data Ready for Regression Model/9. Identifying and Treating missing values in Excel.mp4 52MB
  28. 4. Forecasting using Regression Model/2. Basic Equations and Ordinary Least Squares (OLS) method.mp4 50MB
  29. 4. Forecasting using Regression Model/4. Assessing Model Accuracy RSE and R squared.mp4 50MB
  30. 9. Appendix 1 Excel crash course/4. Date-Time Formulas.mp4 49MB
  31. 8. Forecasting models for New Products/4. Bass Diffusion Model for New Products.mp4 46MB
  32. 8. Forecasting models for New Products/1. S-curve for New products.mp4 44MB
  33. 3. Getting Data Ready for Regression Model/11. Dummy variable creation Handling qualitative data.mp4 41MB
  34. 6. Identifying Seasonality & Trend for Forecasting/1. Models to identify Trend & Seasonality.mp4 39MB
  35. 4. Forecasting using Regression Model/6. Multiple Linear Regression.mp4 39MB
  36. 7. Handling Changing Trend & Seasonality over time/1. Winter's Method to accomodate changing Trend & Seasonality.mp4 37MB
  37. 8. Forecasting models for New Products/3. Excel Using Gompertz curve to model S-curve.mp4 36MB
  38. 4. Forecasting using Regression Model/5. Creating Simple Linear Regression model.mp4 31MB
  39. 9. Appendix 1 Excel crash course/10. Elements of charts.mp4 29MB
  40. 3. Getting Data Ready for Regression Model/6. Outlier Treatment.mp4 28MB
  41. 3. Getting Data Ready for Regression Model/8. Missing Value Imputation.mp4 28MB
  42. 3. Getting Data Ready for Regression Model/4. Univariate analysis and EDD.mp4 27MB
  43. 4. Forecasting using Regression Model/8. Interpreting results of Categorical variables.mp4 27MB
  44. 2. Basics of Forecasting/1. Basics of Forecasting.mp4 25MB
  45. 3. Getting Data Ready for Regression Model/2. Data Exploration.mp4 23MB
  46. 3. Getting Data Ready for Regression Model/1. Gathering Business Knowledge.mp4 22MB
  47. 9. Appendix 1 Excel crash course/11. The Easy way of creating charts.mp4 22MB
  48. 9. Appendix 1 Excel crash course/9. Excel Charts Categories of messages that can be conveyed.mp4 20MB
  49. 1. Introduction/1. Introduction.mp4 14MB
  50. 4. Forecasting using Regression Model/1. The Problem Statement.mp4 11MB
  51. 6. Identifying Seasonality & Trend for Forecasting/4. Moving Average Method.mp4 10MB
  52. 5. Handling Special events like Holiday sales/1. Forecasting in presence of special events.mp4 9MB
  53. 2. Basics of Forecasting/2.1 Files_forecasting.zip 3MB
  54. 1. Introduction/1.1 00_INtro.pdf 455KB
  55. 3. Getting Data Ready for Regression Model/6.1 04_06_PDE_Outlier_Treatment.pdf 355KB
  56. 3. Getting Data Ready for Regression Model/4.2 03_04_PDE_Univariate_Analysis_Uni.pdf 333KB
  57. 4. Forecasting using Regression Model/3.1 05_03_Simple_lin_reg_Accuracy.pdf 333KB
  58. 4. Forecasting using Regression Model/4.1 05_03_Simple_lin_reg_Accuracy.pdf 333KB
  59. 3. Getting Data Ready for Regression Model/3.1 03_03_PDE_Raw_Data_Analysis_Uni.pdf 332KB
  60. 4. Forecasting using Regression Model/7.1 05_05_F_stat.pdf 328KB
  61. 3. Getting Data Ready for Regression Model/2.1 03_02_PDE_Data_exploration.pdf 323KB
  62. 3. Getting Data Ready for Regression Model/8.1 04_05_PDE_Missing_value.pdf 316KB
  63. 4. Forecasting using Regression Model/2.1 05_02_Simple_lin_reg.pdf 285KB
  64. 3. Getting Data Ready for Regression Model/13.1 04_10_Correlation.pdf 257KB
  65. 4. Forecasting using Regression Model/1.1 05_01_Intro.pdf 239KB
  66. 4. Forecasting using Regression Model/6.1 05_04_Multiple_lin_reg.pdf 220KB
  67. 8. Forecasting models for New Products/4.1 17_bass.pdf 210KB
  68. 5. Handling Special events like Holiday sales/1.1 11_Special Events.pdf 204KB
  69. 6. Identifying Seasonality & Trend for Forecasting/1.1 12_Seasonality.pdf 204KB
  70. 8. Forecasting models for New Products/1.1 16_S_Model.pdf 204KB
  71. 2. Basics of Forecasting/1.1 01_reg_basics.pdf 195KB
  72. 3. Getting Data Ready for Regression Model/11.1 04_11_Dummy_Var.pdf 163KB
  73. 7. Handling Changing Trend & Seasonality over time/1.1 15_Winters.pdf 159KB
  74. 4. Forecasting using Regression Model/8.1 05_06_Cat_var.pdf 155KB
  75. 3. Getting Data Ready for Regression Model/1.1 03_01_PDE_Business_knowledge.pdf 154KB
  76. 6. Identifying Seasonality & Trend for Forecasting/4.2 14_Moving_Average.pdf 119KB
  77. 3. Getting Data Ready for Regression Model/5.1 05_Outlier.xlsx 105KB
  78. 3. Getting Data Ready for Regression Model/7.1 05_Outlier.xlsx 105KB
  79. 3. Getting Data Ready for Regression Model/9.1 05_Miss_val.xlsx 105KB
  80. 3. Getting Data Ready for Regression Model/4.1 04_House_Price.xlsx 105KB
  81. 4. Forecasting using Regression Model/9.1 09_multiple.xlsx 100KB
  82. 5. Handling Special events like Holiday sales/2.1 11_Solver_reg.xlsx 100KB
  83. 3. Getting Data Ready for Regression Model/10.1 07_Dummy variable.xlsx 98KB
  84. 3. Getting Data Ready for Regression Model/12.1 07_Dummy variable.xlsx 98KB
  85. 3. Getting Data Ready for Regression Model/14.1 08_corr.xlsx 97KB
  86. 7. Handling Changing Trend & Seasonality over time/2.1 15_winter.xlsx 56KB
  87. 5. Handling Special events like Holiday sales/3.1 12_SpecialEvents.xlsx 54KB
  88. 8. Forecasting models for New Products/2.1 16_S_curve.xlsx 45KB
  89. 8. Forecasting models for New Products/3.1 16_S_curve.xlsx 45KB
  90. 8. Forecasting models for New Products/5.1 17_Bass.xlsx 33KB
  91. 5. Handling Special events like Holiday sales/3. Excel Including the impact of Special Events.srt 21KB
  92. 6. Identifying Seasonality & Trend for Forecasting/2.1 13_Seasonality.xlsx 20KB
  93. 9. Appendix 1 Excel crash course/6. Data Tools.srt 19KB
  94. 9. Appendix 1 Excel crash course/1. Mathematical Formulas.srt 18KB
  95. 9. Appendix 1 Excel crash course/7. Formatting data and tables.srt 17KB
  96. 4. Forecasting using Regression Model/3. Assessing accuracy of predicted coefficients.srt 16KB
  97. 9. Appendix 1 Excel crash course/2. Textual Formulas.srt 15KB
  98. 6. Identifying Seasonality & Trend for Forecasting/6. Excel Moving Average Method.srt 15KB
  99. 8. Forecasting models for New Products/5. Excel Implementing Bass Diffusion Model.srt 13KB
  100. 6. Identifying Seasonality & Trend for Forecasting/4.1 14_Moving_Avg.xlsx 13KB
  101. 6. Identifying Seasonality & Trend for Forecasting/6.1 14_Moving_Avg.xlsx 13KB
  102. 7. Handling Changing Trend & Seasonality over time/2. Excel Winter's method.srt 11KB
  103. 3. Getting Data Ready for Regression Model/13. Correlation Analysis.srt 11KB
  104. 3. Getting Data Ready for Regression Model/5. Discriptive Data Analytics in Excel.srt 10KB
  105. 4. Forecasting using Regression Model/2. Basic Equations and Ordinary Least Squares (OLS) method.srt 10KB
  106. 9. Appendix 1 Excel crash course/3. Logical Formulas.srt 10KB
  107. 6. Identifying Seasonality & Trend for Forecasting/2. Excel Additive model to identify Trend & Seasonality.srt 9KB
  108. 9. Appendix 1 Excel crash course/5. Lookup Formulas ( V Lookup, Hlookup, Index-Match ).srt 9KB
  109. 8. Forecasting models for New Products/4. Bass Diffusion Model for New Products.srt 9KB
  110. 4. Forecasting using Regression Model/7. The F - statistic.srt 9KB
  111. 9. Appendix 1 Excel crash course/8. Pivot Tables.srt 8KB
  112. 5. Handling Special events like Holiday sales/2. Excel Running Linear Regression using Solver.srt 8KB
  113. 3. Getting Data Ready for Regression Model/14. Creating Correlation Matrix in Excel.srt 8KB
  114. 4. Forecasting using Regression Model/9. Creating Multiple Linear Regression model.srt 8KB
  115. 4. Forecasting using Regression Model/4. Assessing Model Accuracy RSE and R squared.srt 8KB
  116. 8. Forecasting models for New Products/1. S-curve for New products.srt 8KB
  117. 2. Basics of Forecasting/3. Creating Linear Model with Trendlines.srt 8KB
  118. 8. Forecasting models for New Products/2. Excel Using Logistic curve to model S-curve.srt 8KB
  119. 3. Getting Data Ready for Regression Model/3. The Data and the Data Dictionary.srt 8KB
  120. 3. Getting Data Ready for Regression Model/12. Dummy Variable Creation in Excel.srt 7KB
  121. 7. Handling Changing Trend & Seasonality over time/1. Winter's Method to accomodate changing Trend & Seasonality.srt 7KB
  122. 9. Appendix 1 Excel crash course/4. Date-Time Formulas.srt 7KB
  123. 6. Identifying Seasonality & Trend for Forecasting/1. Models to identify Trend & Seasonality.srt 7KB
  124. 6. Identifying Seasonality & Trend for Forecasting/3. Excel Multiplicative model to identify Trend & Seasonality.srt 6KB
  125. 2. Basics of Forecasting/1. Basics of Forecasting.srt 6KB
  126. 4. Forecasting using Regression Model/6. Multiple Linear Regression.srt 6KB
  127. 9. Appendix 1 Excel crash course/10. Elements of charts.srt 6KB
  128. 4. Forecasting using Regression Model/8. Interpreting results of Categorical variables.srt 5KB
  129. 9. Appendix 1 Excel crash course/9. Excel Charts Categories of messages that can be conveyed.srt 5KB
  130. 3. Getting Data Ready for Regression Model/11. Dummy variable creation Handling qualitative data.srt 5KB
  131. 3. Getting Data Ready for Regression Model/6. Outlier Treatment.srt 4KB
  132. 3. Getting Data Ready for Regression Model/7. Identifying and Treating Outliers in Excel.srt 4KB
  133. 8. Forecasting models for New Products/3. Excel Using Gompertz curve to model S-curve.srt 4KB
  134. 3. Getting Data Ready for Regression Model/8. Missing Value Imputation.srt 4KB
  135. 3. Getting Data Ready for Regression Model/9. Identifying and Treating missing values in Excel.srt 4KB
  136. 3. Getting Data Ready for Regression Model/10. Variable Transformation in Excel.srt 4KB
  137. 1. Introduction/1. Introduction.srt 4KB
  138. 3. Getting Data Ready for Regression Model/2. Data Exploration.srt 4KB
  139. 3. Getting Data Ready for Regression Model/1. Gathering Business Knowledge.srt 4KB
  140. 3. Getting Data Ready for Regression Model/4. Univariate analysis and EDD.srt 3KB
  141. 9. Appendix 1 Excel crash course/11. The Easy way of creating charts.srt 3KB
  142. 5. Handling Special events like Holiday sales/1. Forecasting in presence of special events.srt 3KB
  143. 4. Forecasting using Regression Model/5. Creating Simple Linear Regression model.srt 3KB
  144. 6. Identifying Seasonality & Trend for Forecasting/4. Moving Average Method.srt 2KB
  145. 4. Forecasting using Regression Model/1. The Problem Statement.srt 2KB
  146. 10. Bonus Section/1. Bonus Lecture.html 2KB
  147. Readme.txt 962B
  148. 4. Forecasting using Regression Model/10. Assignment 1 Regression based Forecasting.html 164B
  149. 6. Identifying Seasonality & Trend for Forecasting/7. Assignment 2 Identifying Trend and Seasonality.html 164B
  150. 8. Forecasting models for New Products/7. Assignment 3 Bass Model.html 164B
  151. 6. Identifying Seasonality & Trend for Forecasting/5. Quiz.html 160B
  152. 8. Forecasting models for New Products/6. Final Course Quiz.html 160B
  153. 2. Basics of Forecasting/2. Course resources.html 113B
  154. [GigaCourse.com].url 49B