Autocorrelation Courses and Certifications

Time Series Analysis in R

Learn the core techniques necessary to extract meaningful insights from time series data.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Time Series Analysis in Python

2653 ratings at Udemy

Time Series Analysis in Python: Theory, Modeling: AR to SARIMAX, Vector Models, GARCH, Auto ARIMA, Forecasting

• Udemy
• 7 hours 21 minutes
• On-Demand
• Paid Course

Hypotheses Testing in Econometrics

Develop statistical skills for hypothesis testing in econometrics, covering OLS properties, t-tests, F-tests, and diagnostic techniques to address violations of classical linear regression assumptions.

• Coursera
• 1 day 3 hours 2 minutes
• On-Demand
• Free Online Course (Audit)

Model Diagnostics and Remedial Measures

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
• On-Demand
• Free Online Course (Audit)

Introduction to Time Series

Learn to analyze and forecast time series data using ARMA, ARIMA, and SARIMA models. Master statistical techniques, model selection, and practical applications with R for effective data-driven decision-making.

• Coursera
• 2 days 3 hours 42 minutes
• On-Demand
• Free Online Course (Audit)

Time Series Analysis in Python

19 ratings at DataCamp

In this four-hour course, you’ll learn the basics of analyzing time series data in Python.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Policy Analysis Using Interrupted Time Series

5 ratings at edX

A comprehensive course on conducting and presenting policy evaluations using interrupted time series analysis.

• edX
• 5 weeks, 6-10 hours a week
• On-Demand
• Free Online Course (Audit)

Probability and Random Processes

3 reviews

Explore random variables, probability distributions, and stochastic processes through intuitive explanations and practical applications in parameter estimation and noisy measurements.

• YouTube
• 3 hours 30 minutes
• On-Demand
• Free Video

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
• On-Demand
• Free Video

Finding Relationships in Data with Python

42 ratings at Pluralsight

This course covers the important techniques of exploring data in order to find relationships between variables, including techniques to summarize and describe your data, and several powerful visualization tools to express relationships in that data.

• Pluralsight
• 2 hours 5 minutes
• On-Demand
• Free Trial Available

CEC;  School Of Economics, DAVV

Econometric Methods

Learn essential econometric techniques for building, estimating, and assessing models. Master OLS, regression analysis, and handle common issues like heteroscedasticity and multicollinearity. Apply concepts to real-world economic problems.

• Swayam
• 12 weeks
• On-Demand
• Free Online Course

Great Learning

Autocorrelation

Explore autocorrelation in data analytics: its concept, importance, testing methods, and applications. Includes a practical Python demo for hands-on learning and skill development.

• YouTube
• 56 minutes
• On-Demand
• Free Video

Communication System Fundamentals

Explore key concepts in communication systems, including data transmission, noise, signal processing, and network protocols, to enhance understanding of modern telecommunications.

• YouTube
• 4 hours 30 minutes
• On-Demand
• Free Video

E2EML - How Selected Models and Methods Work

Explore key machine learning algorithms and methods, including decision trees, Bayes Theorem, autocorrelation, Support Vector Machines, and k-nearest neighbors, in this comprehensive video series.

• YouTube
• 1 hour 30 minutes
• On-Demand
• Free Video

Econometrics

Comprehensive econometrics course covering regression analysis, time series, heteroscedasticity, autocorrelation, and advanced estimation techniques. Includes practical exercises and exam preparation materials.

• YouTube
• 14 hours
• On-Demand
• Free Video