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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

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【影视】 [FreeCoursesOnline.Me] Pluralsight - Interpreting Data Using Statistical Models with Python

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05.Implementing Predictive Models for Categorical Data/05.06.Demo Selecting..Information.mp4 55.7 MB
03.Performing Hypothesis Testing in Python/03.07.Demo Two-way ANOVA.mp4 21.6 MB
03.Performing Hypothesis Testing in Python/03.02.Demo Preparing Data for Hypothesis Testing.mp4 19.8 MB
03.Performing Hypothesis Testing in Python/03.08.Demo Chi2 Analysis.mp4 18.4 MB
03.Performing Hypothesis Testing in Python/03.04.Demo Performing Welch's t-test.mp4 16.2 MB
03.Performing Hypothesis Testing in Python/03.03.Demo Performing the Independent t-test.mp4 15.8 MB
05.Implementing Predictive Models for Categorical Data/05.05.Demo Performing Classification Using Logistic Regression.mp4 15.6 MB
04.Implementing Predictive Models for Continuous Data/04.05.Demo Preparing Data for Simple Linear Regression.mp4 14.9 MB
04.Implementing Predictive Models for Continuous Data/04.08.Demo Selecting..Using Correlations.mp4 13.8 MB
03.Performing Hypothesis Testing in Python/03.06.Demo One-way ANOVA and Tukey's Honest Significant Difference Test.mp4 13.2 MB
03.Performing Hypothesis Testing in Python/03.05.Demo Performing the Paired Difference t-test.mp4 12.8 MB
04.Implementing Predictive Models for Continuous Data/04.06.Demo Linear ..Techniques.mp4 12.5 MB
02.Understanding Inferential Statistics/02.10.One-way ANOVA.mp4 12.4 MB
02.Understanding Inferential Statistics/02.09.Other Types of t-tests.mp4 12.2 MB
01.Course Overview/01.01.Course Overview.mp4 11.7 MB
05.Implementing Predictive Models for Categorical Data/05.02.The Intuition behind Logistic Regression.mp4 11.3 MB
05.Implementing Predictive Models for Categorical Data/05.04.Accuracy, Precision, and Recall.mp4 10.4 MB
02.Understanding Inferential Statistics/02.04.Introducing Hypothesis Testing.mp4 9.6 MB
02.Understanding Inferential Statistics/02.05.Lady Tasting Tea.mp4 9.6 MB
05.Implementing Predictive Models for Categorical Data/05.07.Summary and Further Study.mp4 9.2 MB