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Home Courses 00 AI & DATA SCIENCE EViews Project on EViews – Regression Modeling
Home Courses 00 AI & DATA SCIENCE EViews Project on EViews – Regression Modeling

Project on EViews - Regression Modeling

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What you'll get

  • 3h 12m
  • 21 Videos
  • Course Level - All Levels
  • Course Completion Certificates
  • One-Year Access
  • Mobile App Access

Curriculum:

    Regression modelling using Eviews:

    As mentioned in course objective, Eviews – Econometrics modelling course aims to provide quantitative/econometrics modelling skills typically/specifically in Finance sector. Quantitative methods and predictive modelling concepts could be extensively used in understanding the financial markets movements, and studying tests and effects. The course picks theoretical and practical datasets for econometrics/quantitative/predictive analysis. Implementations are done using Eviews software. Observations, interpretations, predictions and conclusions are explained then and there on the examples as we proceed through the training. The course also emphasizes on the regression models, and AIMS to also cover Auto-Correlation, Co-Integration and ARCH (Auto Regressive Conditional Heteroscedasticity) models

     Essential skillsets – Prior knowledge of Quantitative methods and MS Office, Paint
     Desired skillsets -- Understanding of Data Analysis and VBA toolpack in MS Excel will be useful

    The course works across multiple software packages such as Eviews, MS Office, PDF writers, and Paint. Furthermore, the course is distributed across 4 sub-courses details of which are bulleted below, with brief description
    Regression modelling -- Regression modelling forms the core of Predictive modelling course. The core objective of this course is to provide skills in understand the regression model and interpreting it for predictions. The associated parameters of the regression model will be interpreted and tested for significance and test the goodness of fit of the given regression model. The course covers linear and multiple regression modelling

    Course Objective:

    This course aims to provide econometrics/quantitative/predictive modelling skills pertaining to Finance

    Target Customers:

    This course is not focused on specific set of sectors and domains because it can used by professionals across sectors. However, the list of professionals bulleted below should be able to make the best use of it

      • Students
      • Quantitative and Econometrics Modellers, Financial markets professionals
      • CFA’s and Equity Research professionals

    Pre-Requisites:

    Detailed in course description below, prior knowledge of Quantitative Methods AND Econometrics techniques, MS Office and Paint is desired

    * One-Time Payment & Get One-Year Access

    Offer ends in:

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    Course Overview

    The core objective of this course is to provide skills in understand the regression model and interpreting it for predictions. The associated parameters of the regression model will be interpreted and tested for significance and test the goodness of fit of the given regression model. The course covers linear and multiple regression modeling

    6
    2 - 6 hours 3h 12m | 21 Videos | 73561 Views | Appropriate for all  All Levels
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    Regression modelling using Eviews:

    As mentioned in course objective, Eviews – Econometrics modelling course aims to provide quantitative/econometrics modelling skills typically/specifically in Finance sector. Quantitative methods and predictive modelling concepts could be extensively used in understanding the financial markets movements, and studying tests and effects. The course picks theoretical and practical datasets for econometrics/quantitative/predictive analysis. Implementations are done using Eviews software. Observations, interpretations, predictions and conclusions are explained then and there on the examples as we proceed through the training. The course also emphasizes on the regression models, and AIMS to also cover Auto-Correlation, Co-Integration and ARCH (Auto Regressive Conditional Heteroscedasticity) models

     Essential skillsets – Prior knowledge of Quantitative methods and MS Office, Paint
     Desired skillsets — Understanding of Data Analysis and VBA toolpack in MS Excel will be useful

    Watch our Demo Courses and Videos

    Valuation, Hadoop, Excel, Mobile Apps, Web Development & many more.

    The course works across multiple software packages such as Eviews, MS Office, PDF writers, and Paint. Furthermore, the course is distributed across 4 sub-courses details of which are bulleted below, with brief description
    Regression modelling — Regression modelling forms the core of Predictive modelling course. The core objective of this course is to provide skills in understand the regression model and interpreting it for predictions. The associated parameters of the regression model will be interpreted and tested for significance and test the goodness of fit of the given regression model. The course covers linear and multiple regression modelling

    Course Objective:

    This course aims to provide econometrics/quantitative/predictive modelling skills pertaining to Finance

    Target Customers:

    This course is not focused on specific set of sectors and domains because it can used by professionals across sectors. However, the list of professionals bulleted below should be able to make the best use of it

      • Students
      • Quantitative and Econometrics Modellers, Financial markets professionals
      • CFA’s and Equity Research professionals

    Pre-Requisites:

    Detailed in course description below, prior knowledge of Quantitative Methods AND Econometrics techniques, MS Office and Paint is desired

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