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 elevate your forecasting expertise. Dive into probabilistic methods, hierarchical coherence, and cutting-edge foundation models with production-ready Python code. Build robust, scalable forecasting systems that deliver multimillion-dollar impact.

💸 Pricing

• Pre-Order Ebook: $29.99 (Launch Special, Price increase to $80+ as content grows)
• Series Bundle (Advanced + Original): $59.95
• Pro Edition

Price increases to $80+ as content grows. Pre-order now for lifetime updates at no extra cost.

🧠 Why This Book Stands Out

🔑 Advanced Techniques, Real-World Focus
Go beyond basics with probabilistic forecasting (conformal prediction), hierarchical models (coherence for supply chains), and foundation models (transformers for time series). Learn to assess forecastability, optimize metrics, and deploy with MLOps pipelines—all tailored for real-world constraints.

💻 Production-Grade Python Code
No toy scripts. Get fully documented, reusable code for immediate deployment in finance, retail, energy, and more. From uncertainty quantification to scalable pipelines, every example is battle-tested.

🔍 Built for Mastery, Not Just Coding
Understand the why behind each model. Master decision-making logic, failure modes, and stakeholder communication to build trust and drive ROI.

📈 Proven ROI for Your Career & Business
Readers of the original saw 20-40% accuracy gains and faster promotions. This sequel delivers advanced tools to tackle complex datasets, impress stakeholders, and win competitive projects.

🔄 Living Resource with Lifetime Updates
Join a global community shaping this book. Get new chapters, bug fixes, and bonus tools forever. Your feedback drives improvements.

✍️ About the Author

Valeriy Manokhin, PhD, MBA, CQF—a world-renowned forecasting expert and data science leader. With publications in top ML journals, Valeriy has built forecasting systems for giants like Stanley Black & Decker and GfK, beating BCG and AI forecasting startups in global tenders. His methods drive multimillion-dollar impact, and his training reaches professionals in 100+ countries, from Amazon to University of Chicago.

🌍 Trusted By

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

🎓 Pair with Live Learning

Want hands-on guidance? Join Valeriy’s Modern Forecasting Mastery course on Maven for live sessions, peer collaboration, and direct feedback.
👉 maven.com/valeriy-manokhin/modern-forecasting-mastery

📦 What You Get

📥 Instant access to the book — start reading immediately.
🔄 Free updates — including new chapters, bug fixes, and bonus content.
💬 Exclusive access to the private Discord community — connect with fellow readers, get additional materials, early bonuses, special discounts, and join live events with the author.

🔓 Pro Edition Bonus Pack (Early Access) 🔥🔥🔥

Includes everything above, plus:

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

🚀 Ready to Master Advanced Forecasting?

Take your skills from ARIMA to transformers and foundational models, from theory to production. Perfect for data scientists, ML engineers, and analysts tackling demand, finance, or energy forecasting.

👉 Buy Now and unlock the future of time series forecasting.
📦 Series Bundle: Get the original Mastering Modern ($49.95 value) at 20% off!
⏰ 48-Hour Flash: $24.99—don’t miss out!

[Preorder Ebook $29.99] [Buy Bundle $59.95] [Buy Pro $69.95]

🔒 Pre-Order Details

• No Refunds: Pre-order ensures lifetime access to all updates.
• Content Rollout: Chapters released gradually, full book by Q2 2026.
• Size: ~300 pages (growing to 500+).