Econometrics#1: Regression Modeling, Statistics with EViews by Smart Coders Hub

Udemy course Econometrics#1: Regression Modeling, Statistics with EViews by Smart Coders Hub

Econometrics#1: Regression Modeling, Statistics with EViews is the best Udemy course on the market. With this offer they will be able to greatly improve their knowledge and become more competitive within the Business Analytics & Intelligence category. Therefore, if you are looking to improve your Business Analytics & Intelligence skills we recommend that you download Econometrics#1: Regression Modeling, Statistics with EViews udemy course.

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Course data:

  • Author: Smart Coders Hub
  • Course rating: 3.5
  • Category: Business Analytics & Intelligence
  • Modality: Online
  • Status: Available
  • Idiom: English

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Abouth Smart Coders Hub

I am a passionate coder and a data scientist. I love teaching. I love sharing knowledge with students and enthusiastic learners. I believe any one can code. If you are passionate about learning, you will learn it. I keep learning from my work and keep teaching students. I love travelling. Its always a great feeling to see your students successful. I have lived those moments. I am obsessed with data and passionate about teaching and sharing those knowledge. Come and join me in this journey.

Econometrics#1: Regression Modeling, Statistics with EViews

What the udemy Econometrics#1: Regression Modeling, Statistics with EViews course teaches?

What you’ll learn This course aims to provide econometrics/quantitative/predictive modelling skills This course aims to provide basic to intermediate skills on implementing Econometrics/Predictive modelling concepts using Eviews software. Whilst its important to develop understanding of econometrics/quantitative modelling concepts, its equally important to be able to implement it using suitable software packages. This course fills the gap between understanding the concepts and implementing them practically Descriptive Statistics, Means, Standard Deviation and T-test – This course explains descriptive statistics concepts which will act as building blocks to subsequent courses Correlation Techniques – Correlation techniques explain relationships across variables and are important in explain the model fitment in regression courses 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

Master Descriptive Statistics, Correlation Techniques, Regression, Predictive and Econometrics Modeling skills

More information about the course Econometrics#1: Regression Modeling, Statistics with EViews

Please note that, We have divided the “Econometrics” course in to TWO parts as follows: Econometrics#1:  Regression Modeling, Statistics with EViews 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 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. 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  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 sections details of which are bulleted below, with brief description Section 1: Eviews and Its Application to Econometrics Modelling: This course aims to provide basic to intermediate skills on implementing Econometrics/Predictive modelling concepts using Eviews software. Whilst its important to develop understanding of econometrics/quantitative modelling concepts, its equally important to be able to implement it using suitable software packages. This course fills the gap between understanding the concepts and implementing them practically 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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