Econometrics Courses

1. Explaining the Core Theories of Econometrics

Explaining the Core Theories of Econometrics

This is an introductory College level econometrics course. Ideal for students who want to learn in a more intuitive way.
Content:
- In this course we'll help you understand the key Econometric theories and in particular give you an intuitive framework to build on. Econometrics can often feel overwhelmingly complicated. This course will give you a solid foundation to prepare for your specific University or College's Econometrics exam.

2. Econometrics for Business in R and Python

Econometrics for Business in R and Python

Learn Causal Inference & Statistical Modeling to solve finance and marketing business problems. Code templates included.
Content:
- Econometric use cases in the business world
- Difference-in-differences
- Google's Causal Impact

3. Econometrics#1: Regression Modeling, Statistics with EViews

Econometrics#1:  Regression Modeling, Statistics with EViews

Master Descriptive Statistics, Correlation Techniques, Regression, Predictive and Econometrics Modeling skills
Content:
- This course aims to provide econometrics/quantitative/predictive modelling skills
- This course aims to provide basic to intermediate skills on implementing Econometrics/Predictive modelling concepts using Eviews software. Whilst its important to develop understanding of econometrics/quantitative modelling concepts
- its equally important to be able to implement it using suitable software packages. This course fills the gap between understanding the concepts and implementing them practically
- Descriptive Statistics
- Means
- Standard Deviation and T-test – This course explains descriptive statistics concepts which will act as building blocks to subsequent courses

4. Econometrics#2: Econometrics Modeling and Analysis in EViews

Econometrics#2: Econometrics Modeling and Analysis in EViews

Learn Multivariate Modeling, Autocorrelation Techniques, VAR and ARCH Modeling, Unit Root and CoIntegration Testing
Content:
- The course works across multiple software packages such as Eviews
- MS Office
- PDF writers
- and Paint.
- This course aims to provide basic to intermediate skills on implementing Econometrics/Predictive modelling concepts using Eviews software.
- Learn Univariate and Multivariate Modeling

5. Econometrics: Solved Questions and Mathematical Proofs

Econometrics: Solved Questions and Mathematical Proofs

Step by step solutions to 60+ Econometrics Questions. Ideal for university students who are new to Econometrics.
Content:
- Practice Questions - Simple and Multiple Linear Regression
- Mathematical Proofs - Simple Linear Regression
- Practice Questions - Functional Forms and Dummy Variables

6. Econometrics 2021 - Theories, Models & Functions

Econometrics 2021 - Theories, Models & Functions

Hypothesis Testing, Regression, Correlation, Eviews, Predictive and Econometric Modeling, and Descriptive Statistics
Content:
- The linear and non-linear regression models
- Time series data
- models and autocorrelation
- EViews for econometrics

7. Econometrics: Simple Linear Regression (University Students)

Econometrics: Simple Linear Regression (University Students)

Step by step explanation to the concepts of simple linear regression. Ideal for students who are new to Econometrics.
Content:
- 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)

8. Introductory Econometrics

Introductory Econometrics

An Introduction to Linear Regression, Its Issues and Its Solutions
Content:
- How to think (and think critically) about Econometrics

9. Easy Econometrics: Practical Econometrics Course

Easy Econometrics:  Practical Econometrics Course

Learn all the concepts and practices to perform a regression analysis
Content:
- Econometrics definition and basics
- Practical Regression Analysis with Eviews
- Regression diagnosis with Eviews

10. Introductory Applied Econometrics

Introductory Applied Econometrics

An Introduction to Potential Outcomes, Regression, IV, DiD, RDD, Panel Data, Matching,Synthetic Control and Applications
Content:
- How to think (and think critically) about Applied Econometrics

11. Basic & Advanced Methods in Econometrics

Basic & Advanced Methods in Econometrics

Regression Analysis and Statistical Modeling
Content:
- Simple Linear Regression
- Multiple Linear Regression
- Durbin-Watson Test Statistic

12. Prerequisites for Econometric - The Best Course Ever

Prerequisites for Econometric - The Best Course Ever

Beginners to intermediate level course, providing intuitive understanding of probability theory for econometricians
Content:
- Prerequisites to Econometrics
- Statistic
- Probability Distributions
- Basics to understand Econometrics
- All the prerequisites will be taught in the course so that learning econometrics becomes fun.

13. Eviews Basics (Importing and Estimating Data)

Eviews Basics (Importing and Estimating Data)

Estimation Using Eviews
Content:
- Types of Data in Econometrics
- How to download Data from World Development Indicators (WDI)
- Importing Time Series Data in Eviews

14. Hands-on Econometrics for Beginners and Advanced Users

Hands-on Econometrics for Beginners and Advanced Users

Comprehensive tutorials on hands-on applied econometrics using Stata and EViews analytical software
Content:
- Use of Stata and EViews applications to analyse data and interpret results
- Econometric modelling skills for static and dynamic models
- Modelling economic and financial data

15. Introduction to Econometrics | A beginners guide

Introduction to Econometrics | A beginners guide

Learn the basic fundamentals of econometrics in 30 minutes or even less
Content:
- Students will learn what econometrics is
- Students will learn the methodology behind econometrics
- Students will learn why econometrics is important

16. The Econometrics Videocourse: Learning From Zero

The Econometrics Videocourse: Learning From Zero

More Than 30 Lessons To Learn!
Content:
- Econometrics at basic level.