Dr. Valeriy Manokhin—PhD in Machine Learning, bestselling author of Practical Guide to Applied Conformal Prediction in Python, and architect of enterprise-grade Fortune 500 forecasting systems—delivers a career-transforming course that bridges rigorous theory with Python-powered execution. Master modern forecasting, while gaining hands-on experience applying these techniques to real-world datasets. Learn to communicate forecasts that drive multimillion-dollar decisions, quantify risk with confidence, and deploy scalable solutions honed in industries like finance, healthcare, and logistics. Whether you’re a data scientist or ML engineer, his battle-tested methodologies—backed by peer-reviewed research (Springer ML, JMLR)—will empower you to turn predictions into boardroom influence and measurable ROI. Enroll now to code your way from theory to profit.