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Too Big to Excel: Energy Data Analytics
November 8, 2023 - 16:00 | November 10, 2023 - 18:00 UTC+0
General Information
TxEEE is hosting “Too Big to Excel: Energy Data Analytics” through November 8 to November 10, in three two-hour sessions. This three-day short course is for energy and policy professionals, and business professionals from various industries, 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.
Delivered through a combination of lectures, discussion and hands-on practicums, participants will acquire a comprehensive grasp of Python’s capabilities for data analysis. Moreover, they will delve into contemporary engineering approaches in relation to data analysis and coding with a focus on energy datasets.
- Date: November 8 to November 10, 2023 | 4 p.m. – 6 p.m. (Lisbon Time)
- Instructor: Dr. Joshua D. Rhodes
- Platform: Zoom
For more details on this course, visit the official website (for information purposes only).
Agenda (Download it here)
All times in Lisbon Time | Time Zone Converter here
| Wednesday, November 8, 2023 | ||
| Time | Lecture | Topic |
| 4 p.m. – 5 p.m. | 1 | Command line and Linux basics — Understanding how to use a computer without a mouse. |
| 5 p.m. – 6 p.m. | 2 | Setting up coding environments — How to set up a coding environment that can be used to create a recreate code. |
| Thursday, November 9, 2023 | ||
| Time | Lecture | Topic |
| 4 p.m. – 5 p.m. | 3 | Python basics — How Python works, why it is worth learning, and how its basic structure operates. |
| 5 p.m. – 6 p.m. | 4 | Python for data analytics — How to use Python for data analysis, tools, tricks, and workflow examples |
| Friday, November 10, 2023 | ||
| Time | Lecture | Topic |
| 4 p.m. – 5 p.m. | 3 | Geospatial data analysis with Python — Using Python tools for geospatial (map‐based) analyses. |
| 5 p.m. – 6 p.m. | 4 | Using GitHub and closing remarks — Using tools that allow you to share you analysis, or work collaboratively |
