Modern Forecasting Mastery

New
·

3 Weeks

·

Cohort-based Course

Master forecasting with hands-on, real-world training. No fluff—just insights that drive ROI and advance your career.

Previously at

PwC
GfK
Stanley Black & Decker
H-E-B

Course overview

Master proven forecasting methods and build systems that drive real results.

🔥 Enrollment Now Open — Limited Spots for Cohort 2


This is the most in-depth, zero-fluff forecasting course available—built for real business impact, not academic perfection. Cohort 1 was fully oversubscribed. Now, enrollment for Cohort 2 is live.


Spots are limited and pricing may rise without notice. We intentionally cap attendance to keep this a focused, high-impact experience—not a mass-market offering.


🔒 Secure your seat today and upgrade your forecasting skillset in one of the most valuable, high-leverage areas of modern data science.

🧠 Built for Real-World Forecasters

✅ Tired of models that work in notebooks but fail in production?

✅ Frustrated by tutorials that ignore operational complexity?

✅ Want to lead forecasting projects with clarity and credibility?


This course isn’t about chasing marginal gains with the latest hype. It’s about mastering what actually works—under pressure, at scale, and when decisions carry weight.


The real world isn’t a Kaggle playground. Forecasting mistakes here don’t just fail—they compound, cascade, and get expensive.


You'll learn how to:

💎 Build robust, production-grade forecasting systems

💎 Apply modern ML techniques when and where they work

💎 Quantify uncertainty and communicate risk with confidence

💎 Align forecasts with business outcomes across sectors


Every lesson combines the theory you need with the hands-on experience that makes it work in practice. You’ll learn what matters most when failure isn’t an option.


By the end, you won’t just understand forecasting.


You’ll be able to lead with it—credibly, confidently, and cross-functionally.

👨‍🏫 Meet Your Instructor: Dr. Valeriy Manokhin

Dr. Valeriy Manokhin is an internationally recognized expert in machine learning, forecasting, and uncertainty quantification. Known for combining academic rigor with real-world results. He has:

✅ Designed production forecasting systems for Fortune 500s and startups

✅ Authored multiple bestselling forecasting books

✅ Published peer-reviewed research on Machine Learning, Forecasting and Conformal Prediction

✅ Outperformed top consulting firms in competitive forecasting tenders

✅ Advised startups behind systems used by major global financial institutions


His methods are trusted by practitioners at top-tier firms and universities around the world.

🌍 Trusted by Leaders at:

Amazon, Apple, Google, Meta, Nike, BlackRock, Morgan Stanley, Target, NTT Data, Lidl, Mars Inc, Daybreak AI, Publicis Sapient, and more.

Plus researchers and professionals from UChicago, KTH, UBC, DTU, and other world-class institutions.


Student Roles range from exectuives to principal, lead and senior data scientists to Machine Learning Engineeris, Consultants, AI leads, VPs of engineering, professors, founders. researchers and PhD students.


❌ What This Course Is Not

🚫 Not a pandas crash course

🚫 Not a blog post rehash

🚫 Not a "black box" shortcut without accountability.


This is a strategic, hands-on, zero-hype program for those who need to deliver forecasting that holds up in production—and in the boardroom.


✅ Final Call

If you're ready to stop winging it and start leading with forecasting that earns trust and drives results—this is your moment.


Next Cohort is open now.


Spots are limited. Price may increase without warning. Enroll today to secure your place.

Who is this course for

01

For Data Scientists aiming to master real-world forecasting and build robust, scalable models that deliver accurate, actionable busines

02

For Machine Learning Engineers focused on building reliable, scalable forecasting systems that perform in real-world.

03

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 Conformal Prediction knowledge needed

    No prior forecasting or ML experience needed. All key concepts are introduced from scratch—but taught quickly and practically.

What you’ll get out of this course

📌 Learn What Makes Forecasting Work in the Real World

You’ll uncover the critical 95%—the principles that never show up in blog posts, YouTube tutorials, or LinkedIn threads.

These are the real-world lessons only learned through hard-won experience—and they’re what make or break forecasting success at scale.

📊 Master Advanced Time Series & Uncertainty Techniques

Get hands-on with cutting-edge models and probabilistic methods. Learn how to forecast under uncertainty—and quantify it—in ways that decision-makers can trust.

📈 Turn Forecasts Into Business Impact

Translate predictions into high-stakes decisions. Discover how to turn raw forecasts into clear, actionable insights that improve performance, efficiency, and ROI.

🚫 Cut Through the Hype and Noise

Skip the blog-post theory and hype-driven libraries. Focus on proven, battle-tested methods that hold up in production—and actually deliver results.

💼 Real-world case studies

See how forecasting challenges are tackled in high-stakes environments—from startups to global enterprises.

🧠 Systems & strategy

Learn how to architect forecasting systems, align with business goals, and communicate results effectively.

👥 Interactive feedback opportunities

Get tailored insights during optional small group sessions or expert office hours.

What’s included

Valery Manokhin

Live sessions

Learn directly from Valery Manokhin 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.

🌐 Community of Global Peers

Join a private community of professionals from top companies like Amazon, Apple, Google, Goldman Sachs, Morgan Stanley. Walmart, Target.

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.

Course syllabus

Week 1

Sep 8—Sep 14

    Modern Forecasting Mastery | Lesson 1

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    Modern Forecasting Mastery | Lesson 2

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Week 2

Sep 15—Sep 21

    Modern Forecasting Mastery | Lesson 3

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    Modern Forecasting Mastery | Lesson 4

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Week 3

Sep 22—Sep 26

    Modern Forecasting Mastery | Lesson 5

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    Modern Forecasting Mastery | Lesson 6

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Meet your instructor

Valery Manokhin

Valery Manokhin

✅ Meet Your Instructor: Dr. Valeriy Manokhin

PhD in Machine Learning. Architect of enterprise-grade forecasting systems for Fortune 500 firms and fast-growing startups.


Dr. Valeriy Manokhin is the bestselling author of Mastering Modern Time Series Forecasting (#1 on Leanpub in Machine Learning, Forecasting & Time Series) and Practical Guide to Applied Conformal Prediction in Python. His work bridges rigorous academic research with high-stakes, real-world execution.


Valeriy has built and deployed forecasting models that drive multimillion-dollar decisions across industrial, finance, energy, and tech sectors. His systems are trusted by organizations ranging from global enterprises to early-stage startups—delivering forecasts that work in production, not just in theory.


Backed by peer-reviewed research in top machine learning journals (Springer ML, JMLR) and shaped by real-world demands, Valeriy’s approach focuses on reliable high performance forecasting systems and ROI.


This course gives you the tools to build forecasting solutions that stand up to uncertainty—and deliver lasting business impact.


Enroll now to master modern forecasting 🔥🔥🔥  —and transform your technical skills into strategic advantage.


A pattern of wavy dots

Join an upcoming cohort

Modern Forecasting Mastery

Cohort 2

$950

Dates

Sep 8—26, 2025

Application Deadline

Sep 7, 2025

Course schedule

4-6 hours per week

  • Tuesdays & Thursdays

    17:00pm - 19:00pm UK time


Learning is better with cohorts

Learning is better with cohorts

Active hands-on learning

This course builds on live workshops and hands-on projects

Interactive and project-based

You’ll be interacting with other learners through breakout rooms and project teams

Learn with a cohort of peers

Join a community of like-minded people who want to learn and grow alongside you

Frequently Asked Questions

Stay in the loop

Sign up to be the first to know about course updates.

A pattern of wavy dots

Join an upcoming cohort

Modern Forecasting Mastery

Cohort 2

$950

Dates

Sep 8—26, 2025

Application Deadline

Sep 7, 2025

$950

3 Weeks

What people are saying

        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

David Miller, Hendrickson

Author title