Modern Forecasting Mastery: From Models to Decisions
Dr Valeriy Manokhin, MBA, CQF
Forecasting That Works in Production
This course is popular
4 people enrolled last week.
Master proven forecasting methods and build systems that drive real results.
🔥 Enrollment Open — Limited Spots
This is a deep, zero-fluff forecasting program built for real business impact, not academic perfection.
We cap attendance to keep the experience focused and high-signal (not mass-market). Pricing increases for future cohorts.
Built for real-world forecasters
Models work in notebooks but fail in production?
Tutorials ignore operational constraints?
Want to lead forecasting with clarity and credibility?
This course focuses on what works under pressure, at scale, and when decisions carry weight. Forecasting mistakes don’t just fail—they compound and get expensive.
You’ll learn to:
Build production-grade forecasting systems
Apply modern Machine Learning where it truly helps
Quantify uncertainty and communicate risk
Align forecasts with business outcomes
Instructor: Dr. Valeriy Manokhin, MBA, CQF — ML/forecasting expert, 7× book author, with experience building forecasting systems for large multinationals and startups.
Not: a pandas crash course, blog rehash, or black-box shortcut.
✅ If you’re ready to ship forecasting that earns trust and drives results—join the next Cohort.
What you’ll learn
Master forecasting with hands-on, real-world training. No fluff—just insights that drive ROI and advance your career.
Learn how to structure forecasting pipelines that remain stable, scalable, and reliable in real production environments.
Choose forecasting models based on data, constraints, and use cases—not hype or leaderboard results.
Use evaluation frameworks and metrics that reflect operational risk, costs, and real business impact.
Identify drift, leakage, instability, and other common issues before they derail deployed systems.
Present forecasts and limitations in a way that earns trust from stakeholders and decision-makers.
Develop the technical authority to guide teams, challenge assumptions, and own forecasting outcomes.
Learn directly from Valeriy
Dr Valeriy Manokhin, MBA, CQF
ML expert and 7× book author building real-world forecasting systems
Who this course is for
For Data Scientists aiming to master real-world forecasting and build robust, scalable models that deliver accurate, actionable busines
For Machine Learning Engineers focused on building reliable, scalable forecasting systems that perform in real-world.
For Researchers, students, and Professors seeking to apply advanced forecasting techniques and contribute to cutting-edge research
Prerequisites
High-school level math
Comfort with high-school level math, including basic algebra, probability, and statistics. No advanced math or calculus required.
🐍 Python
Basic proficiency in Python. You should be able to read and write simple code using tools like pandas, numpy, and scikit-learn.
No prior forecasting knowledge needed
No prior forecasting or ML experience needed. All key concepts are introduced from scratch—but taught quickly and practically.
What's included
Live sessions
Learn directly from Dr Valeriy Manokhin, MBA, CQF in a real-time, interactive format.
♾️ Lifetime Access
Revisit all course materials, recordings, and resources anytime you need—no expiration, no gatekeeping. Use it as a long-term reference.
🌐 Community of Global Peers
Join a private community of forecasting professionals from top companies like Amazon, Apple, Google, Goldman Sachs, MorganStanley, Meta
📜 Certificate of Completion
Earn a professional certificate to showcase your forecasting expertise—perfect for sharing with your employer or featuring on LinkedIn.
Maven Guarantee
This course is backed by the Maven Guarantee. Students are eligible for a full refund up until the halfway point of the course.
Schedule
Live sessions
4 hrs / week
Projects
1 hr / week
Async content
2 hrs / week
Testimonials
- Valeriy’s course and book are perfect companions on the deep, rewarding journey into time series forecasting. It's practical, evolving, and built on real experience—shared in an open, global community of learners. You’ll walk away with insights to reshape your own work. Highly recommended.
David Miller, Hendrickson
Author title - I am demanding—both with myself and with the technologies and methods I choose to use. I've completed many specializations in the past, but looking back, I now see most of them as mere introductions, not directly applicable to real-world problems. Last year, I took the 'Conformal Prediction' course and found it to be of exceptional quality.
Stephane Degeye
Data Analysis Manager at Elia Group, became the winner of the first Kaggle Probabilistic Forecasting competition. - If you're serious about mastering forecasting, this course is a must! Valeriy goes beyond models and techniques and focuses on what truly drives forecasting success. His insights, grounded in extensive industry and research experience, are the highlight of a course that’s both practical and impactful. Five stars!
Oscar A. Peña
Senior Data Scientist, USAA - This course provided an in-depth exploration of modern forecasting methods. We studied the advantages and limitations of each approach, from classical techniques to the most recent developments and real-world applications. Additionally, we participated in practical sessions that allowed us to apply our knowledge. I highly recommend this class.
Rouven Spiess
Data Scientist - Valeriy Manokhin’s “Modern Forecasting Mastery” is outstanding and very comprehensive. It nails fundamentals and dives into practice, linking theory to projects. Hands-on labs build industry-grade code and emphasize data understanding. Highly recommended for anyone serious about building a strong, practical foundation in the world of forecasting.
Gurjinder Kaur
CVS Health
Frequently asked questions
£795
GBP