🚀 Pro Edition → Book + Bonus Pack Mastering Modern Time Series Forecasting 🔥 The Complete Guide to Statistical, Machine Learning & Deep Learning Models in Python — Now with Premium Tools, Templates & Real-World Case Studies

🔥 Pro Edition: Mastering Modern Time Series Forecasting (Early Access)

The elite version of the book — trusted by data science leaders in 100+ countries.
Built for practitioners who need forecasting systems that survive production, not just notebooks.

Unlock the premium toolkit behind today’s most effective real-world forecasting systems.

🚀 Pro Edition — Early Access

The Pro Edition includes everything in the standard book plus premium, production-grade resources designed to accelerate real deployment and decision-making.

Pro Edition includes:

• Premium forecasting templates (plug-and-play workflows)
• Extended, industry-level case studies
• Cheat sheets & reference guides
• Behind-the-scenes notebooks with annotated pipelines
• Forecast model selection & benchmarking toolkits
• Access to live Q&A / AMA sessions with the author (when scheduled)

⚠️ The Pro Edition price will increase substantially as the book reaches completion.
Early access locks in lifetime access to all future content and bonuses.

See 📦 What You Get for full details.

📘 The Definitive Guide to Modern Forecasting in Python

Let’s be honest — most forecasting books fall short.

Many are:

• outdated,
• overly simplistic,
• written without real production experience, or
• focused exclusively on classical methods.

Some respected classics are excellent — but often aimed at beginners, or buried under hundreds of pages of theory with limited guidance on modern ML, deep learning, and real deployment.

Even newer books that try to bridge the gap often skim the surface:

• high-level overviews,
• unexplained code,
• missing fundamentals,
• copy-paste recipes without understanding.

The result?
Fragile forecasting systems that look fine in testing — and fail quietly in production.

If you’ve ever felt confused by unexplained code, frustrated by missing foundations, or unsure how to move from theory to practice — this book was written for you.

🧠 What Makes This Book Different

Mastering Modern Time Series Forecasting is a complete, hands-on guide that integrates:

• statistical forecasting
• machine learning
• deep learning and transformers

All grounded in real-world experience, not toy examples.

It is written to be:

• clear,
• rigorous,
• practical,
• and honest about limitations.

Whether you’re starting out or leading forecasting initiatives at scale, this book equips you with the methods, intuition, and workflows needed to build systems that actually hold up in production.

🔍 What You’ll Learn

📘 Core Forecasting Foundations

Understand what forecast accuracy really means, how to validate models correctly, and how to avoid subtle but costly pitfalls.

📈 Classical Models — Done Properly

Modern, usable treatments of ARIMA, exponential smoothing, and related methods — with code designed for real workflows.

🤖 Machine Learning for Time Series

Feature-rich forecasting pipelines that go beyond black-box models.

🧠 Deep Learning & Transformers

Clear, readable PyTorch implementations of modern architectures — including transformer-based approaches.

📊 Foundational Time Series Models (FTSMs)

A practical look at large, pre-trained and domain-general models (“foundation models for time series”) — including where they help and where they don’t.

🧠 Why This Book Stands Out

🔑 Forecasting models are only ~5% of the problem

The other 95% is hard-won knowledge about:

• metrics,
• validation,
• deployment,
• monitoring,
• failure modes,
• and real-world constraints.

This book focuses on that 95% — the part most resources ignore.

🔍 Foundations before sophistication

You’ll learn how to recognise broken forecasts, diagnose failure, and build with confidence — not shaky assumptions.

💻 Transparent, production-grade code

No obfuscation. Every example is documented, explainable, and reusable.

🔄 Continuously improved with real feedback

This is a living resource shaped by an active community of practitioners.
All readers receive lifetime updates, including new chapters and bonus tools.

📈 Real ROI — for companies and careers

Readers consistently report improvements in:

• forecast accuracy,
• interpretability,
• stakeholder trust.

No more silent failures. No more brittle systems.

👥 Who It’s For

• Data Scientists & ML Engineers building real forecasting systems
• Analysts & developers who want practical, reusable code
• Students, educators & researchers seeking a modern reference
• Demand planners & strategists translating forecasts into business impact

✍️ About the Author

Written by Valeriy Manokhin, PhD, MBA, CQF — a forecasting expert, applied data scientist, and machine learning researcher.

Valeriy has advised startups and large enterprises on rebuilding forecasting systems at scale, winning competitive tenders against multinational consultancies and specialised AI vendors. His work has delivered multimillion-dollar business impact across industries.

His training programs have reached professionals in 40+ countries, and this book is now used in 100+ countries, ranking #1 across Machine Learning, Forecasting, and Time Series categories on major platforms.

🌍 Trusted By and Taught To

Professionals at:
Amazon, Apple, Google, Meta, Nike, BlackRock, Morgan Stanley, Target, NTT Data, Mars Inc., Lidl, Publicis Sapient, and others.

Researchers and academics from:
University of Chicago, KTH, UBC, DTU, and other leading institutions.

Students include:
VPs of Engineering, AI Leads, Principal Data Scientists, ML Engineers, Consultants, Professors, Founders, and PhD students.

🎓 Want a Live, Interactive Learning Experience?

Pair the book with the Modern Forecasting Mastery course on Maven.

Join live cohorts, receive direct feedback, and build forecasting systems with peers.

👉 https://maven.com/valeriy-manokhin/modern-forecasting-mastery

📦 What You Get

• Instant access to the full book
• All code examples, datasets, and notebooks
• Free lifetime updates
• Early access to bonus chapters and live sessions

🔓 Pro Edition Bonus Pack (Early Access)

Includes everything above, plus:

• Premium forecasting templates
• Extended, industry-level case studies
• Cheat sheets & flashcards
• Annotated exploratory notebooks
• Forecast model selection & benchmarking toolkits

Designed for professionals and teams who want to deploy faster — without guesswork.

Ready to move from fragile forecasts to production-grade systems?

👉 Buy Now
For structured, cohort-based learning, pair it with the course:
https://maven.com/valeriy-manokhin/modern-forecasting-mastery