Predictive models, sequential data analysis, and techniques for temporal pattern recognition.
- Coursera: Sequences, Time Series and Prediction - TensorFlow-based time series course by DeepLearning.AI.
Beginner - Kaggle: Time Series Course - Hands-on course covering trend, seasonality, and forecasting.
Beginner - Penn State: Applied Time Series Analysis - Comprehensive course on ARIMA, spectral analysis, and more.
Intermediate - Time Series Analysis in Python (YouTube) - Practical video series covering time series with Python.
Beginner
- Forecasting: Principles and Practice (Hyndman & Athanasopoulos) - Free comprehensive textbook on modern forecasting methods.
Intermediate - Time Series Forecasting with Python (Notebooks) - Free notebooks accompanying the time series forecasting book.
Intermediate - Introduction to Time Series and Forecasting (Brockwell & Davis) - Classic time series textbook (free access through many institutions).
Advanced
- Prophet by Meta - Production-ready forecasting tool with excellent documentation.
Beginner - Nixtla (statsforecast/neuralforecast) - Open-source time series forecasting libraries.
Intermediate - Darts (Unit8) - User-friendly time series forecasting library with modern models.
Intermediate - sktime Documentation - Unified Python framework for time series ML.
Intermediate - AWS: Time Series Forecasting - Free tutorials on time series ML with AWS.
Intermediate - tslearn Documentation - Machine learning tools for time series data.
Intermediate