Jun 04 - 06, 2024
Utility Analytics 101
Utility Analytics 101
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 public classroom, virtual classroom, and private group training throughout the year. All delivery formats consist of a lecture component and practical utility analytics application.
Each Utility Analytics 101 training provides a Certificate of Participation and Completion and Continuing Education Units (CEUs) through 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 public classroom course includes 18 hours of training (1.8 CEUs) and the virtual classroom course includes 12 hours of training (1.2 CEUs).
Course Calendar
Sep 17 - 19, 2024
Utility Analytics 101 – September 17-19, 2024
Register Oct 13 - 15, 2024
Utility Analytics 101 – October 13-15, 2024
Hyatt Regency McCormick Place
Nov 12 - 14, 2024
Utility Analytics 101 – November 12-14, 2024
Register
Classes will be announced soon for 2024
Utility Analytics 101: Creating Citizen Data Scientists!
What You'll Learn
- Terms and relationships; analytics levels; analytics value curve
- The world of data: What is data?, What is big data?, databases, data structure, data types
- Data and analytics terms and relationships; analytics levels; maturity index; process model (CRISP-DM)
- Utility analytics use cases: asset health analytics, customer analytics, grid analytics, safety analytics;
- Data understanding: big data, data sources, and data types; exploratory data analysis and data prep with SQL: relevant stats concepts, SQL overview, hands-on demonstrations
- Data visualization: fundamental concepts, best practices, hands-on demonstrations
- Communicating results: clarifying context, identifying audience, big idea, storyboarding, telling a story
- Application and putting it all together with Python: Jupyter Notesbooks overview, EDA with Python, Understanding context exercise, data visualization for communication
Who Should Attend?
- 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) upon completion of the course.
Pricing
Virtual Training
In-Person Training
Virtual Training
UAI Member
$
595
Early Bird Pricing*
-
Regular Pricing: $695
*Early Bird Pricing ends 5 weeks before the event date.
Non-Member
$
795
Early Bird Pricing*
-
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.”
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