Intermediate Python
Pave the path to a technical career by strengthening your programming skills. This online course is part of our Python for Data Analysis Professional Concentration and is designed for you to discover many of Python’s powerful programming features and apply them in hands-on exercises and assignments found in real world software applications.
Intermediate Python will delve into essential data science applications of programming. You will set up your own Python development environment like professionals do, including installing the best distributions of Python, creating your own virtual environments, installing packages, and connecting all of this to your own Integrated Development (IDE) software.
Learning Outcomes
- Use IDE’s to create, run, test, and debug your code efficiently.
- Write programs using procedural and object-oriented programming techniques.
- Write custom functions and add command-line interface capabilities.
- Develop and master namescapes and scopes and understand how these impact variables and objects.
Skills You’ll Gain
- Data analysis in Python.
- Use of Panda.
- Application of Object-Oriented Programming.
- Advanced Python Programming tools including iterators, looping techniques, and generators.
Course Format and Pacing
This is an online course delivered through Canvas, UC Davis CPE’s learning management system. Course materials—such as video lectures, readings, assignments, and discussion forums—are accessible throughout the week. While students may have some flexibility in managing their time, the course follows a structured, week-by-week schedule with regular due dates.
Section Notes
This is an online course with class materials that can be accessed throughout the week. The course is structured to move from one week to the next.
Students will receive an email with login information to access the course 5 days before the course begins.
Students pursuing the full Professional Concentration in Python for Data Analysis must earn a grade of C or higher (not a C minus) in order for this course to count towards the requirements for the Professional Concentration. Courses applied towards the Professional Concentration in Python for Data Analysis must be completed within five years.
Enrollment Policies
Click here or visit https://cpe.ucdavis.edu/student-services/withdrawals-refunds-and-transfers to view complete enrollment policy information including details on withdrawals and transfers.
Refund Deadline: November 10, 2025. Refunds and/or enrollment transfers will not be approved after this date.
Prerequisites
Introduction to Python Programming (Course Number: 508127) or Python for Data Analysis (Course Number: 508130)
If you have 1+ years of experience using Python, you may take this course without having completed the prerequisite courses listed above.
Technical Requirements
Discounts
Early Enroll Discount
Early Enroll Discount
Info Session Discount
Info Session Discount
CAAA Member Discount
CAAA Member Discount
Current members of the Cal Aggie Alumni Association (CAAA) and other UC alumni associations receive 10% off the course fee of one course per quarter, not to exceed $100. If you don't have your discount code, contact CAAA at alumni@ucdavis.edu to request it.