Build Better and Faster with Small Experimental Designs and Machine Learning
This webinar centers on Self-Validating Ensemble Modeling (SVEM), an easy-to-use, new modeling technique that results in a greater ability to accurately predict complex systems that conventional methods smooth over.
Design of Experiments for Mixtures Using Machine Learning
This course presents a revolutionary yet proven approach to the design of experiments for mixtures based on modern machine learning methods. It reduces sample size requirements, streamlines the process of analyzing and modeling & improves accuracy.
Data Analysis for Scientists and Engineers
This course combines the use of JMP with basic, intermediate and advanced analytical methods. Interactive illustrations enable course attendees to understand statistical concepts by engaging and experimenting with them.
Digital Transformation with Excel
Designed for management and administrators, to statistical users, this course will show you actionable, pragmatic methods for using Microsoft Excel to unify data across your organization, increasing your organizational efficiency.
Design of Experiments I
Design of Experiments (DOE or DOX) is the most effective and efficient way to do research today. This course lays the foundation and covers essential methods in DOE.
Phase-Appropriate Quality by Design (QbD)5.0 average rating (1 review)
Provides in-depth learning and practical examples in applying both QbD and Design of Experiments techniques in chemical manufacturing and control (CMC), process development & characterization and risk mitigation.