About This Course

This training covers the use of facility data for engineering analysis. It works through data sources and historian architecture, data quality assessment and validation, Python-based analysis of process and equipment data, the combination of physics-based and data-driven models, digital twin concepts and what they actually require, anomaly detection and predictive maintenance methods, and the governance needed to deploy analytics in an operating facility.