Python is a powerful, easy-to-learn programming language widely used in scientific computing, data analysis, automation, and high-performance computing (HPC). Its clear syntax, extensive standard library, and efficient high-level data structures make it well suited for rapid application development and computational research.
This training session introduces participants to the fundamentals of Python programming and its applications in scientific and research computing. Topics covered include Python syntax, core data types, conditional statements, loops, functions, file input/output, modules, object-oriented programming with classes, and exception handling.
The course also provides hands-on exposure to commonly used scientific Python libraries and tools for data processing, visualization, and computational analysis. Participants will learn to use libraries such as NumPy for numerical computing, SciPy for scientific computing workflows, Pandas for data manipulation and analysis, Seaborn for data visualization, Scikit-learn for introductory machine learning applications, and Python regular expressions for text and pattern processing.
This course is intended for students, researchers, and professionals seeking practical programming skills for scientific computing, data analysis, and computational research. The course is also a required component of both the Micro-Credential in Data Science and the Micro-Credential in Artificial Intelligence programs. For additional information about these programs, please contact HPE DSI at contact@hpedsi.uh.edu.
Prerequisites: None
Date: 27th Jan 2026 - 3rd Mar 2026
Time: Tue Thur, 10:00 AM - 11:30 AM
Instructor: Dr. Jerry Ebalunode
Teaching Assistant: Okeowo, Temitayo (tkokeowo@cougarnet.uh.edu)
Class Capacity: 150
Location: Online (Microsoft Teams)
Clear Lake, Victoria, Downtown, Sugar Land, or Katy campuses
Attendees who are current UHS students, staff, or faculty from the Clear Lake, Victoria, Downtown, Sugar Land, or Katy campuses MUST fill in this credentials form at least three(3) weeks before the course start date. This will allow adequate time to process your course access credentials before the first class.
Current UHS (all campuses) Student, Staff, or Faculty Registration Fee: Free.
UH Alumni and Non-UH Affiliates
Attendees who are not current UHS students, staff, or faculty will need to make a payment for the course before its commencement.
UH Alumni Registration Fee: $250.00.
Non-UH Affiliate Registration Fee: $250.00.
** Non-UH affiliates and alumni registering for the HPE DSI classes MUST:
(1) complete the payment of the course fees ($250.00 per course) at least three(3) weeks before course commencement using this link
(2) fill in this credentials form at least three(3) weeks before the course start date. This will allow adequate time to process your course access credentials before the first class.
If you don't wish to continue participating in the course, Please use the option "Unenroll me" available at the right-hand pane on the course webpage to unenroll from the course. Feel free to e-mail us at contact@hpedsi.uh.edu if you have questions.
** The following refund schedule applies:
More than three weeks before the start date: A cancellation fee of 10% of the total workshop cost applies.
Less than three weeks before the start date: A 15% cancellation fee applies.
Less than one week before the start date: A 25% cancellation fee applies.
48 hours or less before class starts: No refund is available.
All deposits and payments made are non-transferable. The HPE DSI cannot provide refunds, transfer payments, or offer makeup sessions for classes a student might miss, for any reason. If the HPE DSI has to cancel a workshop, you will receive a full refund.