MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHzLanguage: English | Size: 3.49 GB | Duration: 2h 41m

Regression Analysis and Statistical Modeling
What you'll learn
Simple Linear Regression
Multiple Linear Regression
Durbin-Watson Test Statistic
Multivariate Regression
Polynomial Regression
Logistic Regression
Autoregressive Model
Vector Autoregressive Model
Requirements
Basic knowledge of statistics
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 detee 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 detee 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.
Who this course is for
bners in data science
students of economics
bners in statistics
students of mathematics



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