Basic & Advanced Methods in Econometrics
Regression Analysis and Statistical Modeling
Description
This course is essentially designed for economics students. Econometrics is a mandatory course to be completed in every Economics curriculum at university. The core classes an economics student has to complete in order to graduate are Microeconomics, Macroeconomics, Mathematical Economics, and Econometrics. And Econometrics is known to be the most difficult of all.
Econometrics has the reputation of being a fearful discipline and many students have been intimidated by the subject. Econometrics is used everywhere and in almost every professional industry on a daily basis to make decisions. Businesses use it to decide how to promote a product and their brand, schools use it to determine their admission rate, the government uses it to predict voting patterns and outcomes, hospitals use it to predict the spread of diseases, Banks and hedge funds use it to determine the price of the stock market and the trend of financial markets...etc. Econometrics is part of our lives.
The primary goal of this course is to demystify the field of Econometrics. It is meant to facilitate the understanding of complex econometric subjects. This course is structured to provide the foundational knowledge required to do econometric analysis and statistical modeling. It teaches the basic and advanced methods of econometric modeling.
What You Will Learn!
- Simple Linear Regression
- Multiple Linear Regression
- Durbin-Watson Test Statistic
- Multivariate Regression
- Polynomial Regression
- Logistic Regression
- Autoregressive Model
- Vector Autoregressive Model
Who Should Attend!
- beginners in data science
- students of economics
- beginners in statistics
- students of mathematics