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Econometrics: Regression Modeling, Statistics with EViews

Please note that, We have divided the "Econometrics" course in to TWO parts as follows: Econometrics#1:  Regression Modeling,...

Econometrics#1: Regression Modeling, Statistics with EViews
Please note that, We have divided the "Econometrics" course in to TWO parts as follows:
  1. Econometrics#1:  Regression Modeling, Statistics with EViews
  2. Econometrics#2: Econometrics Modeling and Analysis in EViews
This is the first part and will cover mostly basics such as descriptive statistics, correlation techniques and regression analysis.
The course aims to provide quantitative/econometrics modeling skills through Descriptive Statistics, Correlation Techniques, Regression, Predictive and Econometrics Modeling skills. Quantitative methods and predictive modelling concepts could be extensively used in understanding the financial markets movements, huge datasets and statistics and studying tests and effects. The course picks theo retical 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.

The 2nd part of the course, that is Econometrics#2: Econometrics Modeling and Analysis in EViews, AIMS to also cover Auto-Correlation, Co-Integration and ARCH (Auto Regressive Conditional Heteroscedasticity) models

Section 2: Descriptive Statistics, Means, Standard Deviation and T-test – This course explains descriptive statistics concepts which will act as building blocks to subsequent courses
Section 3: Correlation Techniques – Correlation techniques explain relationships across variables and are important in explain the model fitment in regression courses
Section 4: 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

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Econometrics: Regression Modeling, Statistics with EViews
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