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Econometrics for Finance, Economics & Data Science
Published 7/2026
Created by Piyush Dave
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch Level: All Levels | Genre: eLearning | Language: English | Duration: 60 Lectures ( 26h 1m ) | Size: 30.5 GB

Master regression, time series, forecasting, financial econometrics, and real-world data analysis with practical example



What you'll learn
⚡ Understand econometric concepts, statistical foundations, and regression analysis from beginner to advanced level.
⚡ Build, interpret, and validate simple and multiple regression models using real-world economic and financial datasets.
⚡ Detect and solve econometric problems including heteroscedasticity, autocorrelation, and multicollinearity.
⚡ Apply time series, financial econometrics, and forecasting techniques to practical business, finance, and research problems.

Requirements
❗ No prior knowledge of econometrics is required. Basic mathematics and statistics are helpful but not mandatory. Anyone interested in data analysis, economics, finance, or research can follow this course. Familiarity with Excel is beneficial, and examples using R/Python are optional.

Description
Econometrics is one of the most valuable analytical skills for students, researchers, economists, finance professionals, and data analysts. This comprehensive course is designed to help you master econometric techniques from the fundamentals to advanced applications through a practical and structured learning approach.

You'll begin by understanding the statistical foundations required for econometrics before moving into simple and multiple regression analysis, hypothesis testing, model building, and interpretation of results. As the course progresses, you'll learn how to identify and solve common econometric challenges such as multicollinearity, heteroscedasticity, and autocorrelation.

The course also introduces time series econometrics, forecasting techniques, volatility modeling, financial econometrics, and asset pricing concepts that are widely used in academia, quantitative finance, investment research, and business analytics.

Rather than focusing only on mathematical theory, this course emphasizes practical understanding and real-world applications. Every concept is explained step by step using intuitive examples, enabling you to confidently analyze data and interpret econometric models.

By the end of this course, you'll be able to build and evaluate regression models, perform statistical analysis, forecast future trends, interpret econometric results, and apply these techniques to economics, finance, business, and research projects.

Whether you're preparing for university examinations, conducting academic research, working in finance, pursuing a career in data analytics, or simply looking to strengthen your quantitative skills, this course provides the complete foundation you need.

What You'll Learn

✨ Master econometric concepts from beginner to advanced level.

✨ Build and interpret simple and multiple regression models.

✨ Perform hypothesis testing and evaluate model performance.

✨ Diagnose and correct multicollinearity, heteroscedasticity, and autocorrelation.

✨ Apply time series analysis and forecasting techniques.

✨ Understand financial econometrics and volatility modeling.

✨ Analyze real-world economic and financial datasets.

✨ Gain practical skills applicable in research, finance, business analytics, and data science.

Who this course is for
⭐ This course is designed for undergraduate and postgraduate students, MBA and economics learners, finance professionals, data analysts, researchers, aspiring data scientists, CFA/FRM candidates, and anyone who wants to master econometrics for academic, business, or financial applications. It is suitable for both beginners and professionals looking to strengthen their analytical skills.

Code:

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