What you'll learn
Econometrics
Statistical tests
Economic models
Repeat the fundamentals of statistics
Requirements
No requirements. If you want to learn econometrics, it is enough.
Description
Welcome to the simplified econometrics course. This course is built for people who will start learning econometrics in school or currently learning it and needs support in the class and the ones who is interested in econometrics and want to start from somewhere. Without complexity and simplified expressions we will cover the concepts of econometrics fastly and strongly. We will repeat statistics firstly and quickly then cover the topics of - Data Structures- Simple Linear Regression- Ordinary Least Squares (OLS)- Classical Linear Regression Model (CLRM)- Gauss-Markov Theorem- R Squared- Confidence Interval Estimation for Regression Coefficients- Hypothesis Testing for Slope Coefficient of The Regression- F - Test .This is the outline of the course. This course is beginner friendly and after this course you will learn the general concepts of econometrics by repeating statistics quickly and learning via fast and clear explressions and also you will be ready to move into advanced econometrics topics. The topics we cover in our course is the main steps of econometrics and by learning the econometric theories and statistical metrics, tests you will be able to build a both mathematical and theoretical knowledge. In the all course process and later you can reach to me about the concepts or asking questions via Q&A section of the course.
Overview
Section 1: Introduction
Lecture 1 Introduction
Section 2: Statistics fast repeat
Lecture 2 Before starting to this section
Lecture 3 Introduction to statistics and data
Lecture 4 Population vs Sample
Lecture 5 Data Types & Measurement Levels
Lecture 6 Range - IQR
Lecture 7 Mean-Mode-Median-Variance-Standard Deviation
Lecture 8 Z-Value
Lecture 9 Confidence Interval
Lecture 10 Hypothesis Testing & T-Distribution
Lecture 11 Hypothesis Testing & Decision
Section 3: Introduction to Econometrics
Lecture 12 Econometrics Introduction
Lecture 13 Data Structures in Econometrics
Section 4: Simple linear regression & OLS
Lecture 14 Simple Linear Regression
Lecture 15 OLS introduction
Section 5: Classical Linear Regression Model (CLRM) Assumptions
Lecture 16 Classical Linear Regression Model (CLRM) Assumptions
Lecture 17 Gauss-Markov Theorem
Section 6: R^2 and Intrepretation
Lecture 18 R-Squared
Section 7: Confidence interval estimation on regressors
Lecture 19 CI estimation 1
Lecture 20 CI estimation 2
Section 8: Hypothesis test for slope coefficient
Lecture 21 Hypothesis Testing 1
Lecture 22 Hypothesis Testing 2
Section 9: F-Test
Lecture 23 F-Test
Section 10: Congratulations
Lecture 24 Congratulations !!
People who are interested in econometrics,Students who are going to take / who is currently taking Econometrics Class

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