This training introduces ML, including the concepts of exploratory data analysis, supervised learning (classification and regression), and unsupervised learning (dimensionality reduction and clustering). Participants will…

Analytics effectiveness and impact depends on visualization skills of two kinds – ability to create visuals and ability to understand visuals. The real value of…

Data quality is a large and complex field with many dimensions. Every data quality practitioner needs a foundation of concepts, principles, and terminology that are…

Continued population growth, socioeconomic improvements, and technological advancements in the past few decades have caused a significant rise in the consumption of energy and materials.…

Understanding why things happen is a fundamental management skill. For anyone who is challenged to manage data quality, business processes, or people and organizations, finding…

The course provides background information, real-world development experience, and in-depth discussions of big data analytics and machine learning in power systems and smart grid. The…

Data stewardship incorporates all the practices to ensure that data is accessible, usable, protected, and trustworthy. Data stewards oversee the processes that guide effective controls…