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[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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2021-04-03
最近下载:
2024-09-30
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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/6. 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/2. 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
3. Getting Data Ready for Regression Model/7. Identifying and Treating Outliers in Excel.mp4
67.6 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
67.3 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/3. Excel Multiplicative model to identify Trend & Seasonality.mp4
60.1 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
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
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
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/6. Outlier Treatment.mp4
29.1 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/4. Moving Average Method.mp4
10.0 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
291.6 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
3. Getting Data Ready for Regression Model/11.1 04_11_Dummy_Var.pdf
166.9 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/4.2 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/2.1 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/6. 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/4.1 14_Moving_Avg.xlsx
13.0 kB
6. Identifying Seasonality & Trend for Forecasting/6.1 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/2. 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/3. 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/4. Moving Average Method.srt
1.7 kB
4. Forecasting using Regression Model/1. The Problem Statement.srt
1.7 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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