Feb 25 - 27, 2025
Utility Analytics 101
Utility Analytics 101 (2025 Curriculum Update!)
UAI has partnered with the University of Oklahoma Data Science and Analytics Institute (OU DSAI) to develop and deliver Utility Analytics 101 training.
Utility 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.
The 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
data, 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.
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Day 1
Explore utility industry challenges, analytics fundamentals, and smart meter use cases. Engage in a hands-on case study on analytics for grid management and sustainability.
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Day 2
Build and query databases for utility data using Python. Learn big data infrastructure basics and visualize database insights.
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Day 3
Master data cleaning, preparation, and visualization techniques. Apply these skills to detect anomalies and uncover actionable insights from smart meter data.
Course Calendar
Sep 09 - 11, 2025
Utility Analytics 101 – September 9-11, 2025
Register
New classes will be announced soon.
Utility Analytics 101
What You'll Learn
- Understand the challenges and opportunities in the utility industry and the impact of analytics on operations such as safety, predictive maintenance, and energy optimization.
- Explore use cases for smart meter data analytics, including consumption forecasting, demand response, anomaly detection, and sustainability efforts.
- Gain foundational knowledge in database design and querying, including building databases for utility-specific scenarios.
- Learn how to maintain data integrity and security while working with utility data.
- Get hands-on experience with Python notebooks for database creation, querying, and data cleaning.
- Discover big data infrastructure technologies such as Hadoop and Spark for handling large datasets in utilities.
- Learn techniques for preparing and cleaning data, including handling missing values, normalization, outlier detection, and feature engineering.
- Develop skills in handling time-series data from smart meters and monitoring data quality metrics.
- Master data visualization techniques to uncover insights through time-series plots, histograms, and anomaly detection visualizations.
- Apply analytics concepts in real-world scenarios through case studies and hands-on exercises, ensuring actionable insights and data-driven decision-making in utility operations.
Who Should Attend?
- Analysts, data analysts, analytics professionals new to utilities
- Utility professionals new to the data analytics field
- Entry-level utility analytics professionals
- Analysts, Business Practitioners: Managers, Lead, Supervisors, Coordinators
- Operations Managers, Leads, Supervisors, Coordinators
- Engineers
- Project and Program Managers, Leads, Supervisors, Coordinators
- Data Scientists – entry level, new to utilities
- The course is available to both UAI members and non-members
Why Attend?
UAI built this course with guidance from data science and analytics experts that are members of our Strategic Advisory Board and Executive Advisory Council. We’ve partnered with The University of Oklahoma Data Science and Analytics Institute (OU DSAI) to develop and deliver a training that delivers solid ROI and will help attendees stay ahead of the game.
Attendees will earn a Certificate of Participation and Completion and Continuing Education Units (CEUs) from The University of Oklahoma upon completion of the course.
CEUs are awarded to training participants at a rate of one (1.0) CEU for every ten (10) contact hours of training. The Utility Analytics 101 course includes 12 hours of training (1.2 CEUs).
Pricing
Virtual Training
In-Person Training
Virtual Training
UAI Member
$
595
Early Bird Pricing*
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Regular Pricing: $695
*Early Bird Pricing ends 5 weeks before the event date.
Non-Member
$
795
Early Bird Pricing*
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Regular Pricing: $895
*Early Bird Pricing ends 5 weeks before the event date.
In-Person Training
UAI Member
$
1295
Early Bird Pricing*
-
Regular Pricing: $1595
*Early Bird Pricing ends 5 weeks before the event date.
Non-Member
$
1795
Early Bird Pricing*
-
Regular Pricing: $2095
*Early Bird Pricing ends 5 weeks before the event date.
Not a UAI member and interested in learning more? Contact our Membership Team!
UAI Utility Membership is at the organizational level and is designed to aid utilities looking to realize desired business outcomes using analytics. Membership benefits are centered around an experience that allows utility members to share insights, knowledge and practical application techniques.
UAI Utility Membership allows everyone with a stake in analytics to take the lead, get involved and start their journey to become a smarter utility analytics professional.
James Wingate
Membership Development Manager
jwingate@endeavorb2b.com
404-226-3756
Meet The Instructors
Sridhar Radhakrishnan
Co-Director
The University of Oklahoma
Data Science and Analytics Institute
Ashesh Gaur
Graduate Teaching Assistant
(PhD Candidate)
The University of Oklahoma
About OU DSAI
DSAI is an academic unit within the OU Gallogly College of Engineering. By partnering with OU DSAI to develop and deliver our Utility Analytics 101 course, we can better serve the need for workforce training in data science and analytics topics in the utilities sector across a broad spectrum of knowledge, awareness and expertise.
From Our Students
"I enjoyed the Utility Analytics 101 class. The instructor provided helpful and insightful information. The class was beneficial and is a good overview class for people that don’t really know or understand how visualizations tell the story, how to work with the data to tell the right story, or what tools to use to analyze the data to determine if the data is good or bad."
Western Area Power Administration
“I found the UAI 101 course to be informative and thought provoking. As a beginning course it really stretched my mind to the possibilities of using data. There are so many ways to collect, interpret, visualize and present data that it is definitely a science but also an art. Looking forward to the next course.”
Barbados Light & Power Company (an Emera Company)
“UAI Utility Analytics 101 was a perfect training course for utilities that are making the change to a more datacentric environment. With real utility data, it was great to learn the process of taking on a new task and how to execute that task. The training in both SQL and python was helpful because those are two software’s I work with every day. It didn’t matter if you had previous data science experience or none at all, the instructor that taught this course did an excellent job explaining and interpreting challenging concepts to all knowledge levels.”
NiSource
“UAI Utility Analytics 101 was a perfect training course for utilities that are making the change to a more datacentric environment. With real utility data, it was great to learn the process of taking on a new task and how to execute that task. The training in both SQL and python was helpful because those are two software’s I work with every day. It didn’t matter if you had previous data science experience or none at all, the instructor that taught this course did an excellent job explaining and interpreting challenging concepts to all knowledge levels.”
Delaware Electric Co-op
“I think the UAI Utility Analytics 101 training instructor did a great job leading the group through a number of complex topics. The course would be a great introduction for someone with very limited knowledge and/or exposure to the field of analytics. You can expect to come away with a better understanding of the many different terms, tools, and techniques that the analytic professionals in our utilities use on a daily basis. In addition, you’ll also get to network and learn alongside peers from many different parts of the utility industry.”
Tacoma Power
“Utility Analytics 101 is a great introduction to how analytics can be leveraged by a utility to provide value. It covers the core concepts of Python, SQL, and visualization, and highlights the use of storytelling in the data world. I would recommend it to professionals who intend to develop a culture of data-driven decision-making in their teams or organizations.”
National Grid
“I enjoyed the UAI Utility Analytics 101 class. It explains fundamentally the approach of data analytics, and the difference between tools used for data analytics. I recommend this course as the basis for an entry step for newcomers in utility analytics.”
CLP Power Hong Kong
“Utility Analytics 101 is a very well-structured class. It not only provides a big picture of analytics from different levels (descriptive, predictive, and prescriptive), but also showcases how various analytics methods can be applied in the utility industry. During the SQL and Python sessions, the instructor was incredibly patient and interactive with students. Even if you have zero experience with SQL and Python, you can easily understand the content without a struggle. Thanks Utility Analytics Institute for putting together such a helpful training!”
Idaho Public Utilities Commission
“The Utility Analytics Training is a great course for those not only new to the utility industry but also to seasoned utility professionals who are looking to improve technical and data analysis skills.
The curriculum is designed to keep the learners engaged and the instructor always encouraged students to ask questions or give feedback. The utility use cases and hands on lab was extremely helpful to immediately apply what we learned.
I have suggested to my department manager that this become part of our onboarding process for new team members to the Data Strategy division.”
“Enjoyed this course. Relearned, and learned the correct way, as well as learned new concepts. Enjoyed the instructors very much. Thank you.”
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