TBD
10 a.m. – 12 p.m. CT
Joshua Rhodes, Ph.D. Lead Instructor
Live Online via Zoom. Recordings provided.
$600. Group discounts available.
Credentials: 0.6 CEUs and Cockrell School of Engineering Digital Badge
This three-day short course is for energy and policy professionals and all business professionals, regardless of industry, seeking an understanding of how to analyze and make sense of large datasets. Course content will include Python basics, using and utilizing Github, how to use Artificial Intelligence resources for developing code, geospatial analysis using Python and other energy data analytics topics.
Taught through a combination of lectures, discussion and hands-on practicums, students will understand how to use Python to analyze datasets and learn current practical engineering methods in relation to data analysis and coding with a focus on energy datasets.
Note: Students will be required to watch a short video before the course for instruction on configuring their computer with free downloadable software, including VS Code, Miniconda3 and GitHub. Additional self-study and practice examples are included with the course, along with answer sheets.
Dates | Time | Location | Price | |
---|---|---|---|---|
TBD | 10 a.m. – 12 p.m. CT | Online via Zoom | $600 | Registration is closed |
For group and student discounts and special government, military, and non-profit rates, please contact This email address is being protected from spambots. You need JavaScript enabled to view it..
Learning Objectives
- Understand coding basics.
- How to understand and write code confidently.
- How to visualize and collaborate code.
- Make more informed decisions on your own and/or better understand data analytic reporting.
- Achieving hands-on practice writing and implementing code.
Instructor
Participant Profile
CEUS/Certificate/Digital Badge
Testimonials
For questions and inquiries, please contact This email address is being protected from spambots. You need JavaScript enabled to view it..