Econometrics: Simple Linear Regression (University Students)
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
This course comes with:
A 30 day money-back guarantee.
Support in the Q&A section - ask me if you get stuck!
I really hope you enjoy this course!
Shubham
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
Instructor
- 4.4 Instructor Rating
- 774 Reviews
- 14,569 Students
- 9 Courses
Author of four e-books on Amazon (two for Statistics and two for Econometrics). I have 3500+ hours of teaching experience in the field of Microeconomics, Statistics and Econometrics. I became an online tutor in 2015 and have been teaching full time since then. I have worked with students who were complete beginners, as well as those who were facing challenges in mastering advanced topics.
I completely understand the initial struggle in decoding the concepts and formulas. I am adept in breaking down difficult concepts with the use of simple examples. I don't encourage memorisation and simply recalling the formulas, instead, I focus on the 'why' and 'how'.
I understand that every student has a different way of understanding things. Some students understand the concepts when explained through analogies, others when shown mathematical foundation behind them. I modify my teaching methodology depending on what the student is comfortable with.
I have worked with students from 90+ universities. Here are some of the courses I have catered to:
6012B0453Y : Econometrics (Amsterdam School of Economics)
EC226: Econometrics (University of Warwick)
EC203: Applied Econometrics (University of Warwick)
MG205: Econometrics - Theory and Applications (LSE)
EC3301: Statistics and Econometrics (University of St Andrews)
ECON W3412: Introduction to Econometrics (Columbia University)
BEE2031: Econometrics (University of Exeter)
Econometrics: University of Birmingham
BEE2006: Statistics and Econometrics (University of Exeter)
EC3303 : Statistics and Econometrics (University of St. Andrews)
EC304: Empirical Economic Analysis II (Boston University)
FR2202: Financial Econometrics (Cass Business School)
EC220: Introduction to Econometrics (LSE)
EC221: Introduction to Econometrics (LSE)
5SSMN932: Introduction to Econometrics (King’s College London)
5QQMN938 : Intermediate Econometrics (King’s College London)
5SSPP213: Econometrics (King’s College London)
BEE1023 : Introduction to Econometrics (University of Exeter)
6012B0212: Econometrics (Amsterdam School of Economics)