UTILITY ANALYTICS 101
Introducing UAI’s First Training Course: 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. 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 include 18 hours of training (1.8 CEUs) and the virtual classroom course includes 12 hours of training (1.2 CEUs).

Program Analyst,
Western Area Power Administration
“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.”

Manager, Resource Center
Barbados Light & Power Company (an Emera Company)
“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.”

Sr. Quality Data Analyst
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.”

Data Scientist
Delaware Electric Co-op
“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.”

Manager, Strategy, Innovation & Engagement
Tacoma Power
“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.”

Senior Data Scientist
National Grid
“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.”

Engineer
CLP Power Hong Kong
“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.”

Utilities Analyst
Idaho Public Utilities Commission
“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!”
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.
DAY 1: |
Data & Analytics Overview; Business Understanding |
DAY 2: |
Data Understanding |
DAY 3: |
Communicating Results; Application: Putting it all together with Python |
Utility Analytics 101
COURSE CALENDAR
Date |
Delivery Type |
|
---|---|---|
February 21-23, 2023 |
Virtual |
|
April 2-4, 2023 |
In Person in Kansas City, MO |
|
June 20-22, 2023 |
Virtual |
|
October 29-31, 2023 |
In Person in Orlando, FL |
|
September 19-21, 2023 |
Virtual |
|
November 14-16, 2023 |
Virtual |
MEET THE INSTRUCTORS
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.