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X-ORIGINAL-URL:https://utilityanalytics.com/
X-WR-CALNAME:Utility Analytics Institute
X-WR-CALDESC:Utility led community for analytics professionals
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-PUBLISHED-TTL:PT1H
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BEGIN:VEVENT
CLASS:PUBLIC
UID:MEC-d596729bcd45c9544aac809c726ea090@utilityanalytics.com
DTSTART:20250909T133000Z
DTEND:20250911T213000Z
DTSTAMP:20250131T212300Z
CREATED:20250131
LAST-MODIFIED:20250131
PRIORITY:5
SEQUENCE:14
TRANSP:OPAQUE
SUMMARY:Utility Analytics 101 (Virtual Training)
DESCRIPTION:\n\nUAI has partnered with the University of Oklahoma Data Science and Analytics Institute (OU DSAI) to develop and deliver Utility Analytics 101 training.\nUtility Analytics 101 is delivered via virtual classroom and private group training throughout the year. All delivery formats consist of a lecture component and practical utility analytics application.\nThe Utility Analytics 101 course is a three-day workshop for professionals in the utility industry and covers key topics in analytics, database fundamentals, data preparation, and visualization, with a focus on smart meter data. Participants will learn how analytics can optimize operations in utilities, including safety, predictive maintenance, and sustainability efforts. The workshop introduces machine learning applications in utilities, discusses the importance of data integrity and security, and explores big data infrastructure like Hadoop and Spark. Through hands-on exercises, participants will design and build databases, clean and prepare data, and visualize insights. Additional topics include time-series data handling, anomaly detection in smart meter\ndata, and data quality metrics. By the end of the workshop, participants will have the skills to apply analytics to real-world utility scenarios, ensuring data-driven decision-making in their organizations.\n\n\n
URL:https://training.utilityanalytics.com/events/utility-analytics-101-september-9-11-2025/
ORGANIZER;CN=Leslie Cook:MAILTO:lcook@utilityanalytics.com
CATEGORIES:Training
LOCATION:Virtual
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