Python Programming and Data Analysis
Areas of Study
Course Type
Overview
Hours: 12 | CEUs: 1.2 | Dates: 04/24/2023-05/21/2023 | Duration: 4 weeks
This online workshop is comprised of three weeks on the fundamentals of Python programming and using Python as a data analysis tool. Upon completion, students will be familiar with Python 3.7 and the Anaconda Environment, and will be able to use Python and write Python code for calculations and data manipulation. By the end of this workshop, students will be able to use the Python editor for calculations, understand variable and data types in Python, manipulate strings, lists, dictionaries, and tuples in Python, understand basic Python programming concepts and use these concepts to write basic Python code, identify common problems with Python code and handle errors, use Python code for data analysis, and understand how to expand their Python knowledge beyond this course.
All materials for this online course, including linked readings, videos, tutorials, and other resources, are provided and made accessible in the learning management system.
Did You Know?
Python is one of the most commonly used programming languages for data analysis in engineering projects, including the Offshore Wind Energy industry. Explore the PACE Offshore Wind Program, or contact us to learn how you can combine this course with one of our inaugural courses in the Wind program and segue into a new career pathway.
Key Concepts
- Variables and Variable Types
- True/False statements and If/Else Statements
- For and While Loops
- Creating and calling functions
- Creating and using dictionaries
- Basic programming concepts and style
- Input and Output and handling user interactions
- Python for analyzing data
Curriculum
Frequently Asked Questions
Will I earn a certificate for completing this course?
Certificates of completion will be given to all students who have satisfactorily completed course requirements. Multi-course programs require satisfactory completion of all courses before a certificate is given.
Is financial assistance available for this course?
An application for financial assistance (in the form of a 10% course-fee rebate) is available to all enrolled students. If you feel you are eligible for financial assistance, please complete this application after enrolling. These are highly competitive scholarships and eligibility is determined on a case-by-case basis. Students deemed eligible will receive a rebate equal to 10% of the course fee paid at the time of enrollment.
How can I get additional information about this course?
For additional information, please email pace@uno.edu or call our office at 504-280-4756.
What if I need to drop this course?
All PACE courses must be dropped no later than 3 business days before the first class session to be eligible for a full refund less a $50 administrative fee. Course materials are ineligible for refunds.
Moodle & Zoom
Before enrolling, please review the following links and ensure that your computer meets these requirements.
Course Requirements
All materials for this online course, including linked readings, videos, tutorials, and other resources, are provided and made accessible in the learning management system. Hardware Requirements: Software Requirements:
Course Prerequisites
Instructor(s):
Erin Anderson
Erin Anderson is an Aerospace Engineer with background in structures and materials. She attended the University of Illinois at Urbana-Champaign, where she was involved in research on composites and self-healing materials. Erin spent over five years working as a structural analyst on the Space Launch System, a NASA Heavy Lift rocket, and has worked as a consultant on a variety of projects from unmanned aerial vehicles to medical devices. She has extensive background in engineering software and numerical methods using languages such as Python and Visual Basic for Applications. Erin’s research interests are in structural dynamics and buckling, as well as Big Data and Artificial Intelligence.
