Mastering Time Series Forecasting Bundle: Original + Advanced

📚 Modern & Advanced Time Series Forecasting — Core Bundle
Build forecasting systems from fundamentals to state-of-the-art

This bundle brings together two complementary books that cover the full spectrum of modern time series forecasting — from solid foundations to advanced, production-ready methods.

Written by Valery Manokhin, PhD, MBA, CQF, this collection is designed for practitioners who want a coherent, end-to-end approach to forecasting, not disconnected techniques.

📘 Included in This Bundle

Mastering Modern Time Series Forecasting

The foundational guide to building reliable forecasting systems.

• Forecasting fundamentals, metrics, and validation
• Classical models (ARIMA, ETS) done properly
• Feature-based machine learning approaches
• Deep learning and transformers, explained clearly
• Real-world case studies and deployment considerations

Trusted by practitioners in 100+ countries.

Mastering Advanced Time Series Forecasting in Python

The advanced sequel focused on complex, real-world systems.

• Probabilistic forecasting and uncertainty quantification
• Hierarchical forecasting and coherence across levels
• Foundation / transformer-based time series models
• Advanced evaluation, diagnostics, and failure modes
• Production-minded Python workflows

Designed for experienced practitioners who want to go beyond point forecasts.

📦 What You Get

• Instant access to both Core eBooks
• Lifetime updates as new chapters are released
• A consistent, practitioner-first progression from fundamentals to advanced methods
• Access to the private reader community (Discord) for updates and discussion

🎯 Who This Bundle Is For

• Data scientists and ML engineers building forecasting systems
• Analysts and developers who want depth without academic fluff
• Teams moving from classical forecasting to modern ML and probabilistic methods

⚡ One purchase. Two books. One coherent forecasting stack.
If you want to master forecasting properly — from validation and baselines to probabilistic and foundation models — this bundle is the most efficient way to do it.

👉 Get the bundle and build forecasting systems that actually work.