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About the Book

📘 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:

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

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: $34.95

(Launch Special — price increases to $80+ as content grows)

🧠 Why This Book Stands Out

🔑 Advanced Techniques, Real-World Focus

Go beyond basics with:

• Probabilistic forecasting (including conformal prediction)
• Hierarchical models (coherence for supply chains and portfolios)
• Foundation models (transformers and FTSMs for time series)

Learn to assess forecastability, choose and optimize metrics, and deploy with MLOps pipelines—all tailored for real-world constraints, not Kaggle-style toy problems.

🔍 Built for Mastery, Not Just Coding

Understand the why behind each method and design choice:

• Decision-making logic and trade-offs
• Common failure modes and anti-patterns
• How to communicate with stakeholders and build trust

This is a book about engineering forecasting systems, not just fitting models.

📈 Proven ROI for Your Career & Business

Readers of the original book saw 20–40% accuracy gains, smoother stakeholder buy-in, and faster promotions.

This sequel gives you the tools to:

• Tackle messy, complex, high-stakes datasets
• Impress senior stakeholders with clear, defensible forecasts
• Win competitive AI and analytics projects

🔄 Living Resource with Lifetime Updates

Join a global community shaping this book. Get:

• New chapters and sections as they’re written
• Bug fixes and clarifications
• Bonus tools, templates, and case studies

All free forever once you’ve bought the book.

✍️ About the Author

Valeriy Manokhin, PhD, MBA, CQF — a world-renowned forecasting expert and data science leader.

• Built forecasting systems for giants like Stanley Black & Decker, and GfK, beating major consultancies (including BCG) and AI forecasting startups in global tenders.
• Published in top ML and forecasting venues.
• His methods drive multimillion-dollar business impact.
• His training and books reach 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
• Direct feedback on your projects

👉 https://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.

🚀 Ready to Master Advanced Forecasting?

Take your skills from ARIMA to transformers and foundation models, and from theory to production.

Perfect for:

• Data Scientists and ML Engineers in production teams
• Quantitative Analysts and Forecasters in finance and energy
• Senior ICs and technical leads responsible for forecast-critical decisions

👉 Buy Now and unlock the future of time series forecasting.

About the Author

Valery Manokhin

@predict_addict

Valery Manokhin, PhD, MBA, CQF is Senior Data Science and AI Leader with over a decade of experience driving transformative machine learning solutions across global enterprises. Recognized author and educator in machine learning, AI, advanced forecasting, uncertainty quantification, with a proven track record of aligning data strategies with business objectives to deliver significant, measurable business outcomes.