Data Science Education for Energy Professionals
Curriculums designed by educators who know the subsurface, engineering, and analytics
- Comprehensive - Whether you're interested in automating your workflows, creating insightful visualizations, or building your analytics toolbox, we can help you get there
- Flexible - Our platform allows for you learn at your own pace from the comfort of your browser or in-person during our workshops and enterprise programs
- Applicable - All of our curriculums leverage real energy data and are designed for working professionals
Energy is unique. Modeling sparse, uncertain, open-earth systems requires expertise. At daytum, geoscience and engineering is a core focus as we blend physics-based solutions with data-driven ones. As educators who specialize in the subsurface and data science, we’re teaching the industry using a proven, application-focused curriculum and an interactive learning environment.
Our Public and Private workshops introduce what's possible with Data Science and Machine Learning. Learn more about how Python, applied statistics and open-source software can be applied to your daily workflows.
With enterprise solutions, we help you do more with what you already have by building workflows and curriculums using your data. These tailored programs allow for iteration, longer term improvement, and stronger, data-driven cultures.
Learn at your own pace. Whether you’re new to data science or looking to fast-track your career, our Learning Management Platform has the Energy analytics resources that you’ll need to succeed.
Our learners work at:
Hear what our students have to say:
daytum does a great job of demystifying Machine Learning concepts and buzzwords.
Fantastic learning environment and fantastic instructors.
After learning Spatial debiasing from Dr. Pyrcz, I can't look at my data the same anymore.
Exploration Project Leader
Clear and concise explanation of the concepts - very well-organized materials - industry example and use cases explanations.
The course material is very well-designed, and the exercises are very helpful to carry out and follow. The instructors were very engaging and helpful.
Where Should I Start?
Do you keep hearing buzzwords like "Machine Learning", "Neural Networks", and "Deep Learning"? Are you curious about how data science fits into the Energy industry or simply want to be more effective at your current job? Join us for a workshop where we demystify these concepts and teach you how to improve your workflows by leveraging analytics and data science.
Kunal RayakarChief Executive Officer
Dr. John FosterCo-Founder & CTO
Dr. Michael PyrczCo-Founder & Chief Science Officer
Avi RavishankarProduct Manager
Have any questions? Drop us a line!