How We Support the Critical Work of Energy and Utilities
Data Society has partnered with Seeq, a leader in advanced analytics, to provide corporate AI training on the Seeq toolset that’s practical, scalable, and designed for tangible business outcomes.
Through this partnership, Data Society provides certified instructors who are experts in the application of Seeq plus related topics such as Python, Power BI, and storytelling through data, to offer all four of the courses needed for users to make the best use of Seeq software:
1.
Seeq – Bootcamp
2.
Seeq – Foundations
3.
Seeq – Advanced
4.
Seeq –
Data Lab
This training is designed for teams that use Seeq and aim to move quickly, operate with precision, and apply their learnings to real-world operational challenges in energy, pharmaceutical, and other data-driven industries.
Instructor-Led. Use-Case Driven.
Built for Scale.
All courses are delivered as virtual, live, instructor-led training or onsite sessions. The experience is hands-on and interactive, featuring a strong instructor-to-learner ratio and real-time feedback.
We focus on the capabilities your teams need most:
Seeq literacy and analytics fluency
Real-world workflows using Seeq’s analytics platform
Cross-functional skill building with Python, AI, and data tools
Designed for Flexibility and Depth
Courses are structured for private, enterprise delivery, tailored to your team’s domain and technical starting point. Our co-instructor model means learners always have support, and every session is reinforced with hands-on practice.
The main courses (Foundations and Advanced) run as a 9-hour experience, typically over three days, but are customizable to your schedule and data needs. All materials are compliant with Seeq certification, and our instructors are trained to adapt delivery to meet the needs of the room.
Every instructor is Seeq-certified and vetted by Data Society. We don’t compromise on quality.
Instructor Profile
Dr. Zack Kilpatrick
Dr. Zack Kilpatrick is an Associate Professor of Applied Mathematics at the University of Colorado Boulder. In addition to teaching courses in computational neuroscience, probability, linear algebra, and mathematical modeling, his research focuses on computational models of the nervous system, decision-making, and collective behavior.
Zack has been teaching Data Society courses for four years, serving as instructor for lessons on data science for managers, as well as hands-on programming courses in Python for machine learning.
Duration
2 hours
Target Audience
Operators and Managers
Main Focus
Focusing on skills to interpret and leverage data. It covers identifying periods of interest, quantifying and aggregating data to KPIs, visualizing data, and documenting and sharing insights through auto-updating reports and dashboards.
Target Audience
Operators and Managers
Main Focus
Focusing on skills to interpret and leverage data. It covers identifying periods of interest, quantifying and aggregating data to KPIs, visualizing data, and documenting and sharing insights through auto-updating reports and dashboards.
Duration
9 hours
Target Audience
Engineers and Data Scientists
Main Focus
Skills to identify periods of interest, cleanse, quantify, model/predict, and visualize data, as well as share insights through auto-updating reports and dashboards.
Target Audience
Engineers and Data Scientists
Main Focus
Skills to identify periods of interest, cleanse, quantify, model/predict, and visualize data, as well as share insights through auto-updating reports and dashboards.
Duration
9 hours
Target Audience
Engineers and Data Scientists
Main Focus
Focusing on skills such as identifying complex behaviors and anomalies, calculating more complex boundaries and limits for monitoring, and using "properties" (metadata) for advanced formula techniques.
Target Audience
Engineers and Data Scientists
Main Focus
Focusing on skills such as identifying complex behaviors and anomalies, calculating more complex boundaries and limits for monitoring, and using "properties" (metadata) for advanced formula techniques.
Duration
3 hours
Target Audience
Engineers and Data Scientists
Main Focus
It focuses on skills related to operationalizing Python scripts (for modeling, pre-existing or proprietary code, multi-output and non-time-series calculations, etc.), as well as creating custom visualizations and prototyping asset structures.
Target Audience
Engineers and Data Scientists
Main Focus
It focuses on skills related to operationalizing Python scripts (for modeling, pre-existing or proprietary code, multi-output and non-time-series calculations, etc.), as well as creating custom visualizations and prototyping asset structures.
Duration
2 hours
Target Audience
Operators and Managers
Main Focus
Focusing on skills to interpret and leverage data. It covers identifying periods of interest, quantifying and aggregating data to KPIs, visualizing data, and documenting and sharing insights through auto-updating reports and dashboards.
Duration
9 hours
Target Audience
Engineers and Data Scientists
Main Focus
Skills to identify periods of interest, cleanse, quantify, model/predict, and visualize data, as well as share insights through auto-updating reports and dashboards.
Duration
9 hours
Target Audience
Engineers and Data Scientists
Main Focus
Focusing on skills such as identifying complex behaviors and anomalies, calculating more complex boundaries and limits for monitoring, and using "properties" (metadata) for advanced formula techniques.
Duration
3 hours
Target Audience
Engineers and Data Scientists
Main Focus
It focuses on skills related to operationalizing Python scripts (for modeling, pre-existing or proprietary code, multi-output and non-time-series calculations, etc.), as well as creating custom visualizations and prototyping asset structures.
