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

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种子名称: [GigaCourse.com] Udemy - Marketing Analytics Forecasting Models with Excel
文件类型: 视频
文件数目: 52个文件
文件大小: 3.31 GB
收录时间: 2025-2-28 23:54
已经下载: 3
资源热度: 16
最近下载: 2025-3-1 23:45

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[GigaCourse.com] Udemy - Marketing Analytics Forecasting Models with Excel.torrent
  • 1. Introduction/1. Introduction.mp414.37MB
  • 2. Basics of Forecasting/1. Basics of Forecasting.mp425.29MB
  • 2. Basics of Forecasting/3. Creating Linear Model with Trendlines.mp478.93MB
  • 3. Getting Data Ready for Regression Model/1. Gathering Business Knowledge.mp421.91MB
  • 3. Getting Data Ready for Regression Model/10. Variable Transformation in Excel.mp454.12MB
  • 3. Getting Data Ready for Regression Model/11. Dummy variable creation Handling qualitative data.mp440.64MB
  • 3. Getting Data Ready for Regression Model/12. Dummy Variable Creation in Excel.mp4107.99MB
  • 3. Getting Data Ready for Regression Model/13. Correlation Analysis.mp480.14MB
  • 3. Getting Data Ready for Regression Model/14. Creating Correlation Matrix in Excel.mp4102.12MB
  • 3. Getting Data Ready for Regression Model/2. Data Exploration.mp423.42MB
  • 3. Getting Data Ready for Regression Model/3. The Data and the Data Dictionary.mp478.58MB
  • 3. Getting Data Ready for Regression Model/4. Univariate analysis and EDD.mp427.31MB
  • 3. Getting Data Ready for Regression Model/5. Discriptive Data Analytics in Excel.mp4153.53MB
  • 3. Getting Data Ready for Regression Model/6. Outlier Treatment.mp427.76MB
  • 3. Getting Data Ready for Regression Model/7. Identifying and Treating Outliers in Excel.mp464.44MB
  • 3. Getting Data Ready for Regression Model/8. Missing Value Imputation.mp427.56MB
  • 3. Getting Data Ready for Regression Model/9. Identifying and Treating missing values in Excel.mp451.8MB
  • 4. Forecasting using Regression Model/1. The Problem Statement.mp410.68MB
  • 4. Forecasting using Regression Model/2. Basic Equations and Ordinary Least Squares (OLS) method.mp450.23MB
  • 4. Forecasting using Regression Model/3. Assessing accuracy of predicted coefficients.mp4104.41MB
  • 4. Forecasting using Regression Model/4. Assessing Model Accuracy RSE and R squared.mp449.73MB
  • 4. Forecasting using Regression Model/5. Creating Simple Linear Regression model.mp431.11MB
  • 4. Forecasting using Regression Model/6. Multiple Linear Regression.mp438.92MB
  • 4. Forecasting using Regression Model/7. The F - statistic.mp464.13MB
  • 4. Forecasting using Regression Model/8. Interpreting results of Categorical variables.mp427.15MB
  • 4. Forecasting using Regression Model/9. Creating Multiple Linear Regression model.mp497.59MB
  • 5. Handling Special events like Holiday sales/1. Forecasting in presence of special events.mp48.96MB
  • 5. Handling Special events like Holiday sales/2. Excel Running Linear Regression using Solver.mp4111.66MB
  • 5. Handling Special events like Holiday sales/3. Excel Including the impact of Special Events.mp4205.24MB
  • 6. Identifying Seasonality & Trend for Forecasting/1. Models to identify Trend & Seasonality.mp439.14MB
  • 6. Identifying Seasonality & Trend for Forecasting/2. Excel Additive model to identify Trend & Seasonality.mp489.63MB
  • 6. Identifying Seasonality & Trend for Forecasting/3. Excel Multiplicative model to identify Trend & Seasonality.mp457.3MB
  • 6. Identifying Seasonality & Trend for Forecasting/4. Moving Average Method.mp49.58MB
  • 6. Identifying Seasonality & Trend for Forecasting/6. Excel Moving Average Method.mp4119.8MB
  • 7. Handling Changing Trend & Seasonality over time/1. Winter's Method to accomodate changing Trend & Seasonality.mp437.27MB
  • 7. Handling Changing Trend & Seasonality over time/2. Excel Winter's method.mp4126.76MB
  • 8. Forecasting models for New Products/1. S-curve for New products.mp444.24MB
  • 8. Forecasting models for New Products/2. Excel Using Logistic curve to model S-curve.mp462.34MB
  • 8. Forecasting models for New Products/3. Excel Using Gompertz curve to model S-curve.mp435.99MB
  • 8. Forecasting models for New Products/4. Bass Diffusion Model for New Products.mp446.16MB
  • 8. Forecasting models for New Products/5. Excel Implementing Bass Diffusion Model.mp4101.56MB
  • 9. Appendix 1 Excel crash course/1. Mathematical Formulas.mp4109.51MB
  • 9. Appendix 1 Excel crash course/10. Elements of charts.mp429.35MB
  • 9. Appendix 1 Excel crash course/11. The Easy way of creating charts.mp421.68MB
  • 9. Appendix 1 Excel crash course/2. Textual Formulas.mp4109.07MB
  • 9. Appendix 1 Excel crash course/3. Logical Formulas.mp477.75MB
  • 9. Appendix 1 Excel crash course/4. Date-Time Formulas.mp448.83MB
  • 9. Appendix 1 Excel crash course/5. Lookup Formulas ( V Lookup, Hlookup, Index-Match ).mp464.33MB
  • 9. Appendix 1 Excel crash course/6. Data Tools.mp4127.95MB
  • 9. Appendix 1 Excel crash course/7. Formatting data and tables.mp4159.26MB
  • 9. Appendix 1 Excel crash course/8. Pivot Tables.mp473.18MB
  • 9. Appendix 1 Excel crash course/9. Excel Charts Categories of messages that can be conveyed.mp419.97MB