Heteroscedasticity Courses and Certifications

Explaining the Core Theories of Econometrics

1135 ratings at Udemy

This is an introductory College level econometrics course. Ideal for students who want to learn in a more intuitive way.

• Udemy
• 3 hours 52 minutes
• Self-Paced
• Paid Course

Model Diagnostics and Remedial Measures

11 ratings at Coursera

Learn to diagnose and fix issues in regression models, including assumption violations, heteroscedasticity, autocorrelation, and multicollinearity. Gain skills in variable selection and model validation for data-driven industries.

• Coursera
• 19 hours 55 minutes
• Self-Paced
• Paid Course

Econometrics - Theory and Practice

Master econometric theory and practice through regression analysis, hypothesis testing, and statistical inference for analyzing economic relationships and data.

• Coursera
• 1 day 7 hours 43 minutes
• Self-Paced
• Paid Course

Coursera

Regression: Identify Assumptions & Apply Models

Master regression model validation through hands-on practice with OLS assumptions, residual analysis, and diagnostic interpretation in RStudio for trustworthy results.

• Coursera
• 2 hours 1 minute
• Self-Paced
• Paid Course

Coursera

Predict and Validate Regression Models in R

Master building and validating multiple linear regression models in R, using residual plots for diagnostics and k-fold cross-validation to ensure reliable, generalizable predictions for real-world business decisions.

• Coursera
• 2 hours 25 minutes
• Self-Paced
• Paid Course

Econometrics with Eviews: Time Series, and Panel Data

217 ratings at Udemy

Master Econometrics from Basics to Advanced: OLS, ARDL, VAR, GARCH, Cointegration, Causality & Panel Data Analysis

• Udemy
• 14 hours 20 minutes
• Self-Paced
• Paid Course

Econometric Methods in Social Sciences

Master econometric methods for analyzing causal relationships in social sciences, covering regression models, hypothesis testing, time series analysis, and panel data through practical applications in economics and finance.

• XuetangX
• Self-Paced
• Free Online Course

Dibrugarh University;  CEC

Introductory Econometrics

Comprehensive introduction to econometric concepts, covering hypothesis testing, regression models, OLS assumptions, and model misspecification. Develop skills in statistical analysis and econometric techniques.

• Swayam
• 12 weeks
• Self-Paced
• Free Online Course

NPTEL;  IIT Kharagpur

Engineering Econometrics

This course will be exclusively quantitative and an application to business/management-related problems. It is connected with problem sets and real-life cases to know the relevance of a particular problem and the decision-making thereof.

• YouTube
• 1 day 11 hours
• Self-Paced
• Free Video

NPTEL-NOC IITM

Classical Linear Regression Model - Part 4

Explore advanced concepts in classical linear regression, focusing on model interpretation, diagnostics, and practical applications in statistical analysis.

• YouTube
• 28 minutes
• Self-Paced
• Free Video

NPTEL-NOC IITM

Classical Linear Regression Model - Part 3

Explore advanced concepts of classical linear regression, including model assumptions, estimation techniques, and statistical inference for robust data analysis.

• YouTube
• 33 minutes
• Self-Paced
• Free Video

NPTEL-NOC IITM

Classical Linear Regression Model - Part 2

Explore advanced concepts of classical linear regression, including model assumptions, parameter estimation, and statistical inference techniques.

• YouTube
• 32 minutes
• Self-Paced
• Free Video

Undergraduate Econometrics

2 ratings

Comprehensive exploration of econometrics, from basic concepts to advanced regression analysis, emphasizing estimator properties, hypothesis testing, and time series analysis.

• YouTube
• 18 hours
• Self-Paced
• Free Video

BIMSA

Variational Approximations for Bayesian and Semi-Bayesian Inferences

Explore variational approximations in Bayesian inference, focusing on group-variable selection and heteroscedastic Gaussian processes. Learn efficient parameter estimation and process forecasting techniques.

• YouTube
• 1 hour 2 minutes
• Self-Paced
• Free Video

INI Seminar Room 2

Skew-symmetric Schemes for Robust Sampling from Diffusions

Explore robust sampling techniques through skew-symmetric schemes for diffusion processes, focusing on the Barker algorithm's effectiveness in MCMC and its applications in heteroskedastic posterior targets.

• YouTube
• 59 minutes
• Self-Paced
• Free Video