There is often confusion between forecasting methodologies and predictive modeling using supervised machine learning algorithms. While the latter relies on external information for its predictions, forecasting uses its own data.

    Statistical Quality Control (SQC) is a fundamental approach to ensuring consistent product and process quality. This comprehensive five-day training provides participants with an in-depth understanding of SQC methodologies, from foundational concepts to advanced techniques. Covering Statistical Process Control (SPC), process capability analysis, and design of experiments, this workshop equips managers, engineers, and quality professionals with the tools to monitor, analyze, and improve process performance. Through practical case studies and hands-on exercises, participants will develop the skills needed to implement robust quality control systems in their organizations.