MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.19 GB | Duration: 4h 20m
Step by step explanation to the concepts of simple linear regression. Ideal for students who are new to Econometrics.


What you’ll learn
Types of Data – Cross Sectional and Time Series
All the mathematical equations involved in Simple Linear Regression (Population side and Sample side)
The method of Ordinary Least Squares (OLS)
Requirements
Basics of Statistics
Description
This course is the key to build a strong foundation for the Econometrics module. This is what some of our students have to say about this Econometrics course:
”The videos are more detailed as compared to how I was taught Econometrics at school. He explains everything in a calm, not so rushed manner”
”I am taking Econometrics this year at the University and this course makes a lot of sense. Everything is explained in a step by step and detailed manner”
COURSE DESCRIPTION:
Many students who are new to Econometrics describe it as a difficult subject.
Do you think the same?
Do you get lost among the mathematical equations and notations?
If yes, then this is the first thing that you need to do – ‘Change your approach to study this subject’
Take it from me, Econometrics is quite an interesting subject. Whether you like it or not depends on how you tackle this subject. If you want to master Econometrics, then you need to understand the intuition of each and every concept and the logic behind each and every equation. And this is what I am going to help you with!!
In this course, I will take you through:
1) All the equations that you will encounter in Simple Linear Regression (Population side as well as the sample side)
2) The method of Ordinary Least Squares
Who this course is for:
Students who are completely new to Econometrics and would like to learn in a step by step and intuitive manner
Students who are struggling with Econometrics and would like to build a solid foundation
Homepage

https://www.udemy.com/course/introductory-econometrics-simple-linear-regression/

 

 

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