كل عام وأنتم بخير - رمضان كريم
كل عام وأنتم بخير - رمضان كريم
المدرس
Rihab Abdo
التعريف بالدورة
Course Learning Outcomes: By the end of this course, students will be able to:
- Apply multiple regression techniques to analyze and interpret relationships between variables.
- Build and evaluate regression models for predictive analytics.
- Work with nonlinear relationships using appropriate statistical methods.
- Understand time series data and its components (trend, seasonality, irregular variations).
- Use trend-based forecasting techniques to project future values.
- Apply smoothing methods for short-term forecasting.
- Interpret statistical outputs and make data-driven decisions based on regression and forecasting analyses.
منهج الدورة
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1
Chapter 15 Multiple Regression Analysis and Model Building Part-1 -
2
Chapter 15 Multiple Regression Analysis and Model Building Part-2
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3
Chapter 15 Multiple Regression Analysis and Model Building Part-3
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4
Chapter 15 Multiple Regression Analysis and Model Building Part-4
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5
Chapter 15 Working With Nonlinear Relationships
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6
Chapter 16.1 Introduction to Forecasting Time Series Data , and Index Number
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7
Chapter 16.1 Introduction to Forecasting Time Series Data , and Index Number (Continue)
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8
Chapter 16.2 Trend-Based Forecasting Techniques
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9
Chapter 16.3 Forecasting Using Smoothing Method
Final Videos for Practical
Revision
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14
Chapter 15 Revision
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15
Final Revision Without Solution From 14 to 16 -
16
Final Revision Part-1 (Chapter 16)
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17
Final Revision Part-2 (Chapter 15)
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18
Final Revision Part-3 (Chapter 14)
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19
Final Revision Part-4 (Chapter 14)
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20
Final Revision Part-5 (Chapter 13)
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21
Final Revision Part-6 (Chapter 12 )
تقييمات الدورة
يرجى، تسجيل الدخول لترك مراجعة
الدورات الشائعة
