UAI Training
Your Partner for Utility Analytics Training, Education & CEUs
Join UAI to start your journey in utility analytics continuing education.
For over 12 years, UAI has united hundreds of utilities to enable their transformation through analytics, which is our primary mission. After receiving overwhelming requests from these utilities for the addition of educational courses and professional development opportunities, UAI identified training as a primary component of our mission, adding to our portfolio of offerings alongside membership, events, and research. With the addition of a training program, UAI is now helping our customers upskill and re-skill their staff in key areas and address some of their biggest challenges, like bringing their workforce up to speed in analytics and utilities, skills creation and development, recruiting, hiring, on-boarding, and retention.
Why Utilities Love UAI Training
1
CEUs
2
Soft Skills Development
3
Technical Skills
4
Instructors
5
Content
6
Engagement & Retention
7
Expertise
8
Results-Oriented
CEUs
Continuing Education Units
You will receive a Certificate of Participation and Completion and Continuing Education Units (CEUs) through the University of Oklahoma after completing the Utility Analytics 101, 201, and 202 courses. No CEUs are offered for one-day courses.
CEUs are awarded to training participants at a rate of one (1.0) CEU for every ten (10) contact hours of training
Soft Skills Development
Soft Skills Development
Gain problem-solving, critical thinking, and interpersonal skills through an interactive environment. Structured discussions help facilitate student networking and the ability to learn real-world experiences from others taking the course.
UAI Training Courses
Utility Analytics 101
Utility Analytics 101 is creating better citizen data scientists. This training is an introduction to utility analytics. You will learn about utility analytics terms and relationships, and about the world of data, including big data, databases, data structures, and data types. You will benefit from learning about utility analytics uses cases in various focus areas like asset health analytics, customer analytics, grid analytics, and safety analytics. You will explore data analysis and data prep with SQL. There is an introduction to and demonstrations of the fundamental concepts and best practices of data visualizations and you will learn how best to communicate results from your data analysis. Lastly, you will get time for application work and you will put it all together with Python.
Utility Analytics 201: Applied Machine Learning for Utility Professionals
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 apply concepts through guided, hands-on activities.
Utility Analytics 202: Introduction to Forecasting in the Utilities
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. Many utilities find themselves concerned — the volatility of wind and solar power generation, the uncertainty of rooftop solar adoption, and rising gas and electricity prices all pose serious challenges. The modern consumer centric paradigm of transactive energy has changed the traditional load forecasting methodologies, as it evolves and reshapes utility strategies. This training intends to provide a comprehensive introduction to forecasting methods and to present enough information about each method for participants to be able to use them sensibly. Examples and applications from the utility industry, including forecasting with AMI data, are included.
Utility Analytics 301: Machine Learning and Big Data Analytics for Power Systems & Smart Grid
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 value, velocity, volume, and variety of big data in smart grid will be discussed. The basics of machine learning algorithms such as unsupervised learning, supervised learning, reinforcement learning algorithms, graphical learning, and generative models will be covered and taught. Important real-world applications of big data analytics and machine learning in transmission system, distribution system, and electricity market will be presented and discussed.
Modernizing Data Governance for Utility Companies
The world of data management continues to change, but data governance doesn’t always keep pace. New governance practices and organizations are needed to be compatible with agile, big data, cloud, and self-service to support the changing business dynamics. Building beyond enforcement to prevention, controls to services and committees to communities are at the core of data governance evolution.
Data Quality in Utilities: Concepts and Best Practices
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 common in quality management. Building upon that foundation, they need to understand how quality management concepts and principles are applied to data, as well as the language and terminology that specifically apply to data quality. The importance of data quality in the Utility industry is rapidly growing as new use cases for analytics are identified and pursued.
Finding Meaning in Utilities Data: Visualization and Storytelling
Analytics effectiveness and impact depends on visualization skills of two kinds – ability to create visuals and ability to understand visuals. The real value of visualization does not come from creating visuals, but from understanding what they tell you. With the language of words, we learn reading and writing as separate but related skills. Similarly, with visual language we need to learn understanding (reading) and creating (writing) as distinct but related skills. Data analysts at the top of their game go beyond creating data visualizations. They add narratives to interpret the visuals and to explain insights and recommendations. In short, they tell data stories.
Root Cause Analysis in Utilities: The Art and Science of Knowing Why
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 root causes is an essential skill. Understanding why is the key to knowing what to do – the core of sound decision making. But cause-and-effect relationships are elusive. Real causes are often difficult to find so we settle for easy answers. This leads to fixing symptoms rather than to solving problems, and to little or no gain where opportunity is abundant. Root cause analysis is the alternative to easy answers. Looking beyond the apparent and obvious to find real causes brings insight and sows the seeds of foresight.
Learning Formats
UAI’s core focus is assisting our customers with meeting their business goals and determining how to best add value to their stakeholders.
UAI offers several training delivery options that help professionals improve skills from traditional public instructor-led classroom, which provides group learning experiences in-person, to fully immersive training at home or in the office via our virtual classroom offering, which is also live and instructor-led. UAI even provides private group training, so we can train your entire team at one time on dates that work for you and your team, and in a location that is convenient for you (virtual or onsite at your facility). Our goal is to make our utility analytics courses convenient and easily accessible. Coming soon… On-Demand, Self-Paced delivery options!
Public Classroom
UAI offers our most popular courses in-person throughout North America in major metropolitan areas and co-located with UAI events.
- Network with your peers from other utilities.
- Maintain coverage in your organization by staggering training dates for individuals on your team.
- Stay focused on learning by being out of the office.
- Experience structured discussions, networking, and learning.
Virtual Classroom
A convenient yet undiminished learning experience without the hassle of travel. Experience live, interactive, instructor-led online training with UAI virtual events.
- Take advantage of the convenience of online learning.
- Remain motivated by a dedicated time and structure for learning.
- Grow your personal network and learn from fellow students.
Private Group Training
Experience a private group setting at your facility or via our live virtual training platform. Contact us to coordinate a proposal for your team’s private group training.
- Total flexibility. Choose training dates that accommodate your schedule.
- Real-life application. Focus on your key issues and pain points.
- Boost morale. Investing in training is proven to keep teams engaged.
- Save money. Train your entire team with our volume discounts.
Online Training COMING SOON!
Coming soon to UAI training is an on-demand option. Log in within a 12-week period from registration to complete training in a self-paced environment.
- Learn virtually anytime, anyplace, and at any pace.
- Achieve cost-effective employee education—particularly for companies with remote employees or multiple office locations.
- Ramp up employees quickly. Courses can be activated within 24 hours.
- Easily fit this independent learning experience into your schedule.
Custom Private Group Training
Tailored one-day courses to address your utility company's specific challenges and goals, available on-site or virtually for groups of ten or more staff members.
- Tailored content to meet your unique needs
- Flexible delivery options
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.”
“Really excellent training, I came away with a lot resources and knowledge I didn't have before. Mark clearly knows his subject well, did a great job sharing what he knows, and kept the group engaged. The videos shown were very worthwhile and entertaining. The Data Viz Catalog site is a great resource I took away from this training. I enjoyed learning more about the Sankey Diagram in particular, and noted some ideas for usage the Mark mentioned. "Stories make you feel something, this makes them compelling" (Quote from Mark that really resonated with me). Excellent training, I will be recommending!”
“Mark Peco is an excellent teacher. He had tons of examples of visualizations and talked about situations to use them in. It gave me new ideas and inspiration for presenting complex data to my customers.”
“This course was very informative. The content of the class will help me summarize and communicate data governance concepts at my company.”
“I like that the Utility Analytics 202 course covered many different types of forecasting methods, including both theory and practical implementation. The instructor was engaging, friendly, and good at explaining difficult concepts in an understandable way. The case studies were helpful in making the students think about application of the concepts.”
"Loved the class on Root Cause Analysis. Some content was a review and some content was brand new!”
"I loved learning a little about Python. Also the concept of machine learning was good stuff! This was one of the best classes I have taken. The hands-on exercises really helped the learning process for me.”
“The course was very informative and interesting and very applicable to our day to day work.”
“Mark is a good instructor and the content was well presented. Covered some familiar ground but from new perspectives and also provided plenty of new food for thought and guidance as we put forward our own data governance program. The sample framework and roadmap will be very helpful. Overall an insightful and useful course. Thanks.”
“Enjoyed this course. Relearned, and learned the correct way, as well as learned new concepts. Enjoyed the instructors very much. Thank you.”
“The 301 course is a great utility-focused data science offering that has the right balance between applicable data science concepts. It is data science with enough utility relation and utility concepts.”
Previous
Next