Autocorrelation Courses and Certifications

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

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

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

Time Series Analysis - Stationarity, Autocorrelation, and ARMA Models - Lecture 12

Explore stationarity, autocorrelation, and ARMA models for analyzing financial time series data with transformations like log returns to achieve stationarity.

• YouTube
• 1 hour 21 minutes
• On-Demand
• Free Video

Time Series Analysis in Python

2853 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

Policy Analysis Using Interrupted Time Series

7 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)

Econometrics with Eviews: Time Series, and Panel Data

214 ratings at Udemy

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

• Udemy
• 14 hours 20 minutes
• On-Demand
• 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
• On-Demand
• Paid Course

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 38 minutes
• On-Demand
• 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
• On-Demand
• Paid Course

Packt

Financial Analysis with ARIMA and Time Series Forecasting

Master financial time series forecasting with ARIMA models, from basic concepts to advanced implementations. Learn to analyze market trends, assess risks, and make data-driven investment decisions through hands-on coding and practical applications.

• Coursera
• 9 hours 49 minutes
• On-Demand
• Paid Course

EDUCBA

Univariate Time Series Analytics & Modeling with EViews

Master ARMA modeling techniques using EViews for univariate time series analysis, from correlograms to model diagnostics and validation.

• Coursera
• 4 hours 51 minutes
• On-Demand
• Paid 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
• On-Demand
• Free Online Course

Iain Explains Signals, Systems, and Digital Comms

Random Processes - Mathematical Models and Applications in Signal Processing

Explore mathematical models of random processes, their properties, and applications in parameter estimation for noisy measurements and digital communications.

• YouTube
• 1 hour 14 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