Mastering Advanced Time Series Forecasting in Python: Probabilistic, Hierarchical, and Foundation Models

📘 The Definitive Sequel to the #1 Time Series Forecasting Bestseller

From the author of Mastering Modern Time Series Forecasting—trusted by data science leaders in 100+ countries—comes the advanced guide to take your forecasting skills to the next level.

This book goes beyond “pick a model” and focuses on what matters in real deployments: probabilistic forecasting, hierarchical coherence, and modern foundation-model thinking—all with production-minded Python workflows.

Build forecasting systems that are robust, scalable, and defensible under real-world constraints.

🧠 Why This Book Stands Out

🔑 Advanced Methods, Real-World Focus

Move past basics into:

• Probabilistic forecasting and uncertainty (including conformal prediction)
• Hierarchical forecasting and reconciliation for complex systems
• Foundation models / transformers for time series — what works, what doesn’t, and how to evaluate honestly
• Forecastability, metric design, and deployment constraints (monitoring, governance, latency)

💻 Production-Grade Python

No toy scripts. Reusable, well-structured code designed for real projects in finance, retail, energy, and operations.

🔍 Built for Mastery, Not Just Coding

Understand the why behind each method:

• decision logic
• failure modes
• evaluation traps
• stakeholder communication and trust

🔄 Living Resource with Lifetime Updates

Early supporters receive:

• new chapters as they are released
• refinements and corrections
• bonus tools and additional material over time

🔓 Pro Edition Bonus Pack (Early Access)

Includes everything in the book, plus professional tooling:

• ✅ Premium Forecasting Templates — plug-and-play workflows
• ✅ Extended Case Studies — deeper applied analyses across industries
• ✅ Behind-the-Scenes Notebooks — annotated exploratory pipelines and end-to-end walkthroughs
• ✅ Forecast Model Selection Toolkit — Python notebooks to benchmark, optimize, and compare approaches

Designed for practitioners who want to move from theory to production faster.

🎓 Pair with Live Learning

For hands-on guidance, live sessions, and direct feedback, pair this book with the cohort-based course:

Modern Forecasting Mastery (Maven)
👉 https://maven.com/valeriy-manokhin/modern-forecasting-mastery

The book and course are designed to complement each other:
the book builds depth and reference; the course builds execution and confidence.

🌍 Trusted By

Professionals and teams across industry and academia, including:

• Industry: Amazon, Google, Meta, BlackRock, Nike, Mars Inc.
• Academia: University of Chicago, KTH, UBC, DTU
• Roles: VPs, AI Leads, Principal Data Scientists, ML Engineers, PhD students

📦 What You Get

• 📥 Instant access to the current Early Access release
• 🔄 Free updates as new chapters and tools are released
• 💬 Private community access for readers (materials, bonuses, announcements, live events)

🔒 Pre-Order Details

• Early Access rollout with chapters released progressively
• Scope expands over time
• Lifetime updates included for early supporters

🚀 Ready to master advanced forecasting?
Go from classical methods to probabilistic systems and foundation-model era workflows—with practical code and production-first thinking.

👉 Buy now and lock in lifetime access.