This four week online course for analysts and technical professionals will take a deep dive into energy and commodities analytics. Designed for those who want to learn best practices around commodity data analytics, visualization, and forecasting, the course offers hands-on projects and real-world data. You will learn commodity data analysis utilizing EViews, an industry-leading data management and analysis software.
Schedule and Curriculum
This course will be offered twice in the Spring 2021 semester:
- April 5 – April 30, 2021
Class meetings will occur online via Zoom every Tuesday and Thursday from 11:00 a.m. - 1:00 p.m. MT during the four week course.
- Introduction to data analysis and EViews “bootcamp”
- Applied introduction to time-series modeling and forecasting
- Case studies and real-world applications for data analysis
The curriculum for the four week, part-time course spans complex topics including data transformation and visualization, regression analysis, model estimation (including vector autoregression and error-correction) and forecasting across the broad commodity sector.
About the Instructor
Daniel Jerrett, Ph.D., has more than 15 years of experience developing and implementing forecasting models, spanning both the private and public sectors. He has spent time in the investment management industry, state, and local governments as well as consulting with Fortune 500 companies.
Dr. Jerrett continues to be active in academia and teaches courses in econometrics and forecasting at the University of Colorado Denver’s J.P. Morgan Commodities Center.