Name: Econometrics with Python
SKU: 483876
Availability: InStock

Econometrics with Python

Category: Python

Python for Econometrics

What you’ll learn
✓ Perform regression on python
✓ Identify and Remove violations of classical linear regression assumptions
✓ Master Time Series Model like ARIMA, VAR, GARCH
✓ Use of econometrics model for forecasting and decision-making

Requirements
● Basic Understanding of Econometrics but not mandatory

Description
Python for Econometrics: From Theory to Real-World Applications is a comprehensive course designed to help you master econometric concepts and apply them using Python in a practical and intuitive way. This course takes you from the fundamentals of Python programming to advanced econometric techniques, making it suitable for beginners as well as learners with some prior knowledge of economics or data analysis. You will learn how to perform regression analysis, interpret results, and understand the underlying assumptions of econometric models. The course also covers important diagnostic tests such as multicollinearity, heteroscedasticity, and autocorrelation, along with their remedies, ensuring you can build reliable and robust models.

In addition, you will explore advanced topics including logit and probit models, panel data analysis using fixed and random effects, and time series techniques such as ARIMA, VAR, and GARCH models. Special emphasis is placed on real-world applications, where you will work with datasets to perform forecasting, conduct Granger causality tests, analyze impulse response functions (IRF), and understand forecast error variance decomposition (FEVD). The course is structured to balance theory with hands-on coding using popular Python libraries like NumPy, Pandas, Statsmodels, and Matplotlib. By the end of the course, you will have the skills and confidence to build, interpret, and apply econometric models for academic research, professional projects, and data-driven decision-making.

Who this course is for
■ Students of Economics , Finance and Data Science
■ Researchers

Homepage

https://anonymz.com/?https://www.udemy.com/course/econometrics-with-python

DIGITAL DELIVERY ONLY

This is digital product THE DOWNLOAD LINK SEND 12-24 HOURS AFTER UPON PURSUASE AND PAYMENT CLEARS"

The digital files are uploaded on PCLOUD
12-24 hours delivery time
the download links expire after 7 days and need to download them
to renew the download link after expiration have one additional fee $5 per product

REQUESTS

Also we accept requests and course exchanges

In Course exchanges we are sending credits only

The credits will be the same price as we can sell course

"REFUNDS & RETURNS"

No Refunds on digital product

ONLY EXCHANGE

Because of the abuse of the refunds from many customers i don't accept refunds
We accept only 1 time exchange with product of the same price
if you done mistake on the exchangeable product i don't recognize it as your mistake
Exchanges only 3 days after the payment of your digital product. (if abused again i will do it 1 day)