This online course for analysts and technical professionals takes a deep dive into energy and commodities analytics. Designed for those who want to learn best practices in commodity data analysis, visualization, and forecasting, the course features hands-on projects and real-world datasets. Participants will learn commodity data analysis using Python and industry-relevant analytical tools.
Format and Curriculum
The course is offered in a convenient on-demand format, allowing participants to learn at their own pace and access course materials whenever their schedule permits.
The curriculum includes:
- Introduction to data analysis and Python "boot camp"
- Applied introduction to time-series modeling and forecasting
- Case studies and real-world applications for data analysis
This comprehensive course covers a range of advanced topics, including data transformation and visualization, regression analysis, model estimation (including vector autoregression and error correction), and forecasting across the broad commodity sector. Through practical exercises and real-world examples, learners will develop skills they can immediately apply in professional settings.
Key Benefits
- Learn anytime, anywhere with self-paced access
- Work through hands-on exercises using real commodity market data
- Build practical Python skills for energy and commodities analytics
- Apply forecasting and analytical techniques to real-world industry challenges
This course is ideal for analysts, traders, engineers, consultants, and technical professionals seeking to strengthen their data analytics capabilities in the energy and commodities sectors.
About the Instructor
Daniel Jerrett, Ph.D., is Co-Founder and Chief Investment Officer at Stategy Capital LP, a global alternative investment management firm. His responsibilities include portfolio construction and management, as well as quantitative research. He holds a Ph.D. in Mineral and Energy Economics from the Colorado School of Mines, emphasizing econometrics and forecasting. Dr. Jerrett is also a member of the J.P. Morgan Center for Commodities’ Advisory Council.
