"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."

“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.”

“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.”

“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.”

“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.”

“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.”

“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.”

“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!”

“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.”

“We were in the first phase of our Data Governance project when we attended the “Modernizing Data Governance for Utility Companies” training course. We left the course with ideas and perspectives that had us rethinking how to best proceed in our journey toward a successful and sustainable Data Governance program. Pausing to address these issues early on is expected to result in significant time and cost savings and better position us to convert our siloed data into a valuable enterprise asset. And, as always, the conversations with colleagues from other utilities and hearing their challenges, successes, and lessons learned was invaluable.”

“The UAI 'Modernizing Data Governance for Utility Companies' course is informative, and I found it productive and very relevant to my role.”

“This was a great training for anyone interested in making an impact to Data Governance at their company. I wish more IT related folks took this class vs. utility and analytics folks. I have a piece of the Data Governance pie, but not all of it. I now feel like I can articulate what Data Governance is much better and what our strengths / weaknesses are around Data Governance at my company. I will be sending other folks to this session in the future."

"Thanks for organizing this training UAI. It was inspiring and helpful to me."

“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.”

“Honestly, this Data Governance class was one of the most effective and well-designed trainings I've attended. The conceptual flow was top-notch which really allowed us to grow our understanding throughout the day.”

“The course is quite insightful as it delves into the application of systems thinking and critical thinking in conducting Root Cause Analysis (RCA). I learned a lot of new things that I can start exploring in my current projects. Big thanks to Mark Peco for the awesome training.”