Join Tim Coburn from the University of Tulsa for this 2 day training event.
Introduction to Big Data & Analytics
The focus of the course is on data literacy. The content serves to improve, or establish, a working understanding of Big Data and their supporting processes and technologies across the energy complex. Participants are also introduced to the foundational ideas of contemporary analytics, algorithms, and models, but specific training in programming/scripting languages or commercial analytics platforms (e.g., Spotfire, Tableau, PowerBI) is not routinely included.
A Laptop with Administrative control to download tools is required for this course. Breakfast and lunch are included.
This course provides a broad-based, but gentle, introduction to the rapidly expanding disciplines of Big Data and analytics as they are being operationalized in today’s oil and gas industry. All examples are related to oil and gas (upstream / midstream / downstream). Corporate use cases and more formal case studies from industry are included. Participants use Excel and example data sets to complete introductory- to intermediate-level exercises involving data cleaning, plus descriptive, diagnostic, and predictive analytics (depending on participant skill set). A fundamental knowledge of business statistics is required, along with a working knowledge of Excel and solid file management skills in the Microsoft operating environment.
Who Should Attend?
The course is appropriate for technical professionals and supervisory/management personnel alike who want to learn more about what Big Data Analytics is, what it encompasses, and how it is being operationalized in the oil and gas industry.
- Introduction to analytics and Big Data … what are we talking about?
- What is data, where does it come from, and why are we being deluged?
- The link to corporate performance indicators and operational efficiency
- What Big Data analytics entails … the 3 (or more) Vs and the 4 Ps
- IT and data management as requisite support foundations
- The new language and structure of Big Data management
- Foundational principles of data mining and knowledge discovery
- Overview of contemporary algorithms and data mining methodologies
- Big Data analytics in the context of the digital oilfield
- Big Data analytics in the midstream sector (supply chain, transportation, commodities trading, etc.)
- Organizational and managerial issues for Big Data initiatives in oil and gas companies
Dr. Tim Coburn serves as Professor of Energy and Operations Management in the School of Energy Economics, Policy and Commerce at The University of Tulsa. Previously he served as the Director of the School, and led all graduate programs in energy business and business analytics. Prior to his tenure at The University of Tulsa, Dr. Coburn served as Assistant/Associate Dean in the College of Business at Abilene Christian University and as the Mesa Petroleum Professor of Statistics and Management Science. His career also spans various technical and supervisory roles at Phillips Petroleum Company, Marathon Oil Company, and the National Renewable Energy Laboratory. Dr. Coburn has broad technical and managerial experience across multiple sectors of the energy industry, and regularly consults with energy organizations on data analytics initiatives.
A Flyer is available for this event.
Timing & Location
This two day training workshop will be September 15-16, 2020, at a location TBD. It will run from 8:00am-5:00pm each day.
Price Per 2 Day Session: $399 USD for members and $599 USD for non-members. Students and displaced individuals qualify for additional special rates - please email email@example.com to get your discount code.
Professional Development Units
This event is eligible for 14 PDUs:
To learn more about Professional Development Units (PDU) and the CPDA Certification Program, please visit our Certification Page.
Questions & Concerns
For questions and concerns, please contact firstname.lastname@example.org. Cancellation information is available on our Terms and Conditions page.
Space is limited, please register early.
Thank You to Our Venue Host