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

Creation Time	May 24, 2024, 6:08 p.m.
Last Access Time	Nov. 7, 2024, 1:05 a.m.
File Size	3.3 GB
Keywords	Forecasting Models Marketing - Udemy Analytics Excel GigaCourse com with
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Total Files	154
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5. Handling Special events like Holiday sales/3. Excel Including the impact of Special Events.mp4 205.2 MB
9. Appendix 1 Excel crash course/7. Formatting data and tables.mp4 159.3 MB
3. Getting Data Ready for Regression Model/5. Discriptive Data Analytics in Excel.mp4 153.5 MB
9. Appendix 1 Excel crash course/6. Data Tools.mp4 127.9 MB
7. Handling Changing Trend & Seasonality over time/2. Excel Winter's method.mp4 126.8 MB
6. Identifying Seasonality & Trend for Forecasting/6. Excel Moving Average Method.mp4 119.8 MB
5. Handling Special events like Holiday sales/2. Excel Running Linear Regression using Solver.mp4 111.7 MB
9. Appendix 1 Excel crash course/1. Mathematical Formulas.mp4 109.5 MB
9. Appendix 1 Excel crash course/2. Textual Formulas.mp4 109.1 MB
3. Getting Data Ready for Regression Model/12. Dummy Variable Creation in Excel.mp4 108.0 MB
4. Forecasting using Regression Model/3. Assessing accuracy of predicted coefficients.mp4 104.4 MB
3. Getting Data Ready for Regression Model/14. Creating Correlation Matrix in Excel.mp4 102.1 MB
8. Forecasting models for New Products/5. Excel Implementing Bass Diffusion Model.mp4 101.6 MB
4. Forecasting using Regression Model/9. Creating Multiple Linear Regression model.mp4 97.6 MB
6. Identifying Seasonality & Trend for Forecasting/2. Excel Additive model to identify Trend & Seasonality.mp4 89.6 MB
3. Getting Data Ready for Regression Model/13. Correlation Analysis.mp4 80.1 MB
2. Basics of Forecasting/3. Creating Linear Model with Trendlines.mp4 78.9 MB
3. Getting Data Ready for Regression Model/3. The Data and the Data Dictionary.mp4 78.6 MB
9. Appendix 1 Excel crash course/3. Logical Formulas.mp4 77.8 MB
9. Appendix 1 Excel crash course/8. Pivot Tables.mp4 73.2 MB
3. Getting Data Ready for Regression Model/7. Identifying and Treating Outliers in Excel.mp4 64.4 MB
9. Appendix 1 Excel crash course/5. Lookup Formulas ( V Lookup, Hlookup, Index-Match ).mp4 64.3 MB
4. Forecasting using Regression Model/7. The F - statistic.mp4 64.1 MB
8. Forecasting models for New Products/2. Excel Using Logistic curve to model S-curve.mp4 62.3 MB
6. Identifying Seasonality & Trend for Forecasting/3. Excel Multiplicative model to identify Trend & Seasonality.mp4 57.3 MB
3. Getting Data Ready for Regression Model/10. Variable Transformation in Excel.mp4 54.1 MB
3. Getting Data Ready for Regression Model/9. Identifying and Treating missing values in Excel.mp4 51.8 MB
4. Forecasting using Regression Model/2. Basic Equations and Ordinary Least Squares (OLS) method.mp4 50.2 MB
4. Forecasting using Regression Model/4. Assessing Model Accuracy RSE and R squared.mp4 49.7 MB
9. Appendix 1 Excel crash course/4. Date-Time Formulas.mp4 48.8 MB
8. Forecasting models for New Products/4. Bass Diffusion Model for New Products.mp4 46.2 MB
8. Forecasting models for New Products/1. S-curve for New products.mp4 44.2 MB
3. Getting Data Ready for Regression Model/11. Dummy variable creation Handling qualitative data.mp4 40.6 MB
6. Identifying Seasonality & Trend for Forecasting/1. Models to identify Trend & Seasonality.mp4 39.1 MB
4. Forecasting using Regression Model/6. Multiple Linear Regression.mp4 38.9 MB
7. Handling Changing Trend & Seasonality over time/1. Winter's Method to accomodate changing Trend & Seasonality.mp4 37.3 MB
8. Forecasting models for New Products/3. Excel Using Gompertz curve to model S-curve.mp4 36.0 MB
4. Forecasting using Regression Model/5. Creating Simple Linear Regression model.mp4 31.1 MB
9. Appendix 1 Excel crash course/10. Elements of charts.mp4 29.4 MB
3. Getting Data Ready for Regression Model/6. Outlier Treatment.mp4 27.8 MB
3. Getting Data Ready for Regression Model/8. Missing Value Imputation.mp4 27.6 MB
3. Getting Data Ready for Regression Model/4. Univariate analysis and EDD.mp4 27.3 MB
4. Forecasting using Regression Model/8. Interpreting results of Categorical variables.mp4 27.1 MB
2. Basics of Forecasting/1. Basics of Forecasting.mp4 25.3 MB
3. Getting Data Ready for Regression Model/2. Data Exploration.mp4 23.4 MB
3. Getting Data Ready for Regression Model/1. Gathering Business Knowledge.mp4 21.9 MB
9. Appendix 1 Excel crash course/11. The Easy way of creating charts.mp4 21.7 MB
9. Appendix 1 Excel crash course/9. Excel Charts Categories of messages that can be conveyed.mp4 20.0 MB
1. Introduction/1. Introduction.mp4 14.4 MB
4. Forecasting using Regression Model/1. The Problem Statement.mp4 10.7 MB
6. Identifying Seasonality & Trend for Forecasting/4. Moving Average Method.mp4 9.6 MB
5. Handling Special events like Holiday sales/1. Forecasting in presence of special events.mp4 9.0 MB
2. Basics of Forecasting/2.1 Files_forecasting.zip 2.9 MB
1. Introduction/1.1 00_INtro.pdf 455.0 KB
3. Getting Data Ready for Regression Model/6.1 04_06_PDE_Outlier_Treatment.pdf 355.1 KB
3. Getting Data Ready for Regression Model/4.2 03_04_PDE_Univariate_Analysis_Uni.pdf 333.4 KB
4. Forecasting using Regression Model/3.1 05_03_Simple_lin_reg_Accuracy.pdf 332.7 KB
4. Forecasting using Regression Model/4.1 05_03_Simple_lin_reg_Accuracy.pdf 332.7 KB
3. Getting Data Ready for Regression Model/3.1 03_03_PDE_Raw_Data_Analysis_Uni.pdf 332.0 KB
4. Forecasting using Regression Model/7.1 05_05_F_stat.pdf 328.5 KB
3. Getting Data Ready for Regression Model/2.1 03_02_PDE_Data_exploration.pdf 322.9 KB
3. Getting Data Ready for Regression Model/8.1 04_05_PDE_Missing_value.pdf 315.7 KB
4. Forecasting using Regression Model/2.1 05_02_Simple_lin_reg.pdf 284.8 KB
3. Getting Data Ready for Regression Model/13.1 04_10_Correlation.pdf 256.9 KB
4. Forecasting using Regression Model/1.1 05_01_Intro.pdf 239.3 KB
4. Forecasting using Regression Model/6.1 05_04_Multiple_lin_reg.pdf 219.8 KB
8. Forecasting models for New Products/4.1 17_bass.pdf 209.5 KB
5. Handling Special events like Holiday sales/1.1 11_Special Events.pdf 204.1 KB
6. Identifying Seasonality & Trend for Forecasting/1.1 12_Seasonality.pdf 204.1 KB
8. Forecasting models for New Products/1.1 16_S_Model.pdf 203.5 KB
2. Basics of Forecasting/1.1 01_reg_basics.pdf 195.2 KB
3. Getting Data Ready for Regression Model/11.1 04_11_Dummy_Var.pdf 163.0 KB
7. Handling Changing Trend & Seasonality over time/1.1 15_Winters.pdf 159.1 KB
4. Forecasting using Regression Model/8.1 05_06_Cat_var.pdf 155.5 KB
3. Getting Data Ready for Regression Model/1.1 03_01_PDE_Business_knowledge.pdf 153.9 KB
6. Identifying Seasonality & Trend for Forecasting/4.2 14_Moving_Average.pdf 119.3 KB
3. Getting Data Ready for Regression Model/5.1 05_Outlier.xlsx 104.9 KB
3. Getting Data Ready for Regression Model/7.1 05_Outlier.xlsx 104.9 KB
3. Getting Data Ready for Regression Model/9.1 05_Miss_val.xlsx 104.9 KB
3. Getting Data Ready for Regression Model/4.1 04_House_Price.xlsx 104.8 KB
4. Forecasting using Regression Model/9.1 09_multiple.xlsx 100.5 KB
5. Handling Special events like Holiday sales/2.1 11_Solver_reg.xlsx 99.8 KB
3. Getting Data Ready for Regression Model/10.1 07_Dummy variable.xlsx 98.1 KB
3. Getting Data Ready for Regression Model/12.1 07_Dummy variable.xlsx 98.1 KB
3. Getting Data Ready for Regression Model/14.1 08_corr.xlsx 96.9 KB
7. Handling Changing Trend & Seasonality over time/2.1 15_winter.xlsx 56.5 KB
5. Handling Special events like Holiday sales/3.1 12_SpecialEvents.xlsx 54.2 KB
8. Forecasting models for New Products/2.1 16_S_curve.xlsx 45.5 KB
8. Forecasting models for New Products/3.1 16_S_curve.xlsx 45.5 KB
8. Forecasting models for New Products/5.1 17_Bass.xlsx 33.3 KB
5. Handling Special events like Holiday sales/3. Excel Including the impact of Special Events.srt 20.6 KB
6. Identifying Seasonality & Trend for Forecasting/2.1 13_Seasonality.xlsx 20.3 KB
9. Appendix 1 Excel crash course/6. Data Tools.srt 19.5 KB
9. Appendix 1 Excel crash course/1. Mathematical Formulas.srt 17.7 KB
9. Appendix 1 Excel crash course/7. Formatting data and tables.srt 17.0 KB
4. Forecasting using Regression Model/3. Assessing accuracy of predicted coefficients.srt 15.8 KB
9. Appendix 1 Excel crash course/2. Textual Formulas.srt 15.1 KB
6. Identifying Seasonality & Trend for Forecasting/6. Excel Moving Average Method.srt 14.7 KB
8. Forecasting models for New Products/5. Excel Implementing Bass Diffusion Model.srt 12.9 KB
6. Identifying Seasonality & Trend for Forecasting/4.1 14_Moving_Avg.xlsx 12.7 KB
6. Identifying Seasonality & Trend for Forecasting/6.1 14_Moving_Avg.xlsx 12.7 KB
7. Handling Changing Trend & Seasonality over time/2. Excel Winter's method.srt 11.3 KB
3. Getting Data Ready for Regression Model/13. Correlation Analysis.srt 10.6 KB
3. Getting Data Ready for Regression Model/5. Discriptive Data Analytics in Excel.srt 10.3 KB
4. Forecasting using Regression Model/2. Basic Equations and Ordinary Least Squares (OLS) method.srt 9.9 KB
9. Appendix 1 Excel crash course/3. Logical Formulas.srt 9.6 KB
6. Identifying Seasonality & Trend for Forecasting/2. Excel Additive model to identify Trend & Seasonality.srt 9.4 KB
9. Appendix 1 Excel crash course/5. Lookup Formulas ( V Lookup, Hlookup, Index-Match ).srt 9.4 KB
8. Forecasting models for New Products/4. Bass Diffusion Model for New Products.srt 9.2 KB
4. Forecasting using Regression Model/7. The F - statistic.srt 9.0 KB
9. Appendix 1 Excel crash course/8. Pivot Tables.srt 8.4 KB
5. Handling Special events like Holiday sales/2. Excel Running Linear Regression using Solver.srt 8.4 KB
3. Getting Data Ready for Regression Model/14. Creating Correlation Matrix in Excel.srt 8.3 KB
4. Forecasting using Regression Model/9. Creating Multiple Linear Regression model.srt 8.0 KB
4. Forecasting using Regression Model/4. Assessing Model Accuracy RSE and R squared.srt 8.0 KB
8. Forecasting models for New Products/1. S-curve for New products.srt 8.0 KB
2. Basics of Forecasting/3. Creating Linear Model with Trendlines.srt 7.9 KB
8. Forecasting models for New Products/2. Excel Using Logistic curve to model S-curve.srt 7.8 KB
3. Getting Data Ready for Regression Model/3. The Data and the Data Dictionary.srt 7.8 KB
3. Getting Data Ready for Regression Model/12. Dummy Variable Creation in Excel.srt 6.8 KB
7. Handling Changing Trend & Seasonality over time/1. Winter's Method to accomodate changing Trend & Seasonality.srt 6.8 KB
9. Appendix 1 Excel crash course/4. Date-Time Formulas.srt 6.8 KB
6. Identifying Seasonality & Trend for Forecasting/1. Models to identify Trend & Seasonality.srt 6.7 KB
6. Identifying Seasonality & Trend for Forecasting/3. Excel Multiplicative model to identify Trend & Seasonality.srt 6.1 KB
2. Basics of Forecasting/1. Basics of Forecasting.srt 5.9 KB
4. Forecasting using Regression Model/6. Multiple Linear Regression.srt 5.7 KB
9. Appendix 1 Excel crash course/10. Elements of charts.srt 5.7 KB
4. Forecasting using Regression Model/8. Interpreting results of Categorical variables.srt 5.3 KB
9. Appendix 1 Excel crash course/9. Excel Charts Categories of messages that can be conveyed.srt 5.1 KB
3. Getting Data Ready for Regression Model/11. Dummy variable creation Handling qualitative data.srt 4.9 KB
3. Getting Data Ready for Regression Model/6. Outlier Treatment.srt 4.5 KB
3. Getting Data Ready for Regression Model/7. Identifying and Treating Outliers in Excel.srt 4.3 KB
8. Forecasting models for New Products/3. Excel Using Gompertz curve to model S-curve.srt 4.2 KB
3. Getting Data Ready for Regression Model/8. Missing Value Imputation.srt 4.1 KB
3. Getting Data Ready for Regression Model/9. Identifying and Treating missing values in Excel.srt 3.9 KB
3. Getting Data Ready for Regression Model/10. Variable Transformation in Excel.srt 3.8 KB
1. Introduction/1. Introduction.srt 3.7 KB
3. Getting Data Ready for Regression Model/2. Data Exploration.srt 3.6 KB
3. Getting Data Ready for Regression Model/1. Gathering Business Knowledge.srt 3.5 KB
3. Getting Data Ready for Regression Model/4. Univariate analysis and EDD.srt 3.4 KB
9. Appendix 1 Excel crash course/11. The Easy way of creating charts.srt 3.4 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/4. Moving Average Method.srt 1.6 KB
4. Forecasting using Regression Model/1. The Problem Statement.srt 1.6 KB
10. Bonus Section/1. Bonus Lecture.html 1.5 KB
Readme.txt 962 bytes
4. Forecasting using Regression Model/10. Assignment 1 Regression based Forecasting.html 164 bytes
6. Identifying Seasonality & Trend for Forecasting/7. 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/5. Quiz.html 160 bytes
8. Forecasting models for New Products/6. Final Course Quiz.html 160 bytes
2. Basics of Forecasting/2. Course resources.html 113 bytes
[GigaCourse.com].url 49 bytes

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