Python for Data Analysis Fast Track


The Fastest Way to Advance Your Career with Python Skills

UC Davis Continuing and Professional Education's Fast Track program is a convenient way to accelerate your training and jump start your career by adding Python Programming to your skillset.

  • Stay the course with Fast Track: enroll in our fully online program and complete the professional concentration in 9 months.
  • Save over $500 with our pre-pay pricing option
    • 15% discount on all classes

UC Davis Continuing and Professional Education's "Fast Track" format is a convenient way to focus your training and quickly advance your career, but we understand that enrolling in this program is a time commitment that you may or may not be ready for just yet, which is why we created entry points in all four academic quarters. So, no matter what quarter works best for you, there is a fast track pathway for your education.

To participate in the Fast Track option, enroll in an open section, pay for the program (at the discounted Fast Track rate) and our Academic Advisers will place you in the required courses.

For students who are enrolled in a pre-pay package series of courses, requests to drop a course or transfer to a different course in the series must be received by the refund deadline for the individual course and the listed processing fee will be applied. Requests to exit a Prepay Package series of courses prior to completion may result in a refund of remaining funds after the full course fee is assessed for each class completed in the series. Contact the program coordinator to discuss changes to the Prepay Package series of courses.

Academic Units
Section Number
Instruction Method
Online class

Section Notes

By enrolling in the 9-month Python for Data Analysis Fast Track Program, students are enrolled in all five courses in the program starting in Spring 2024 and ending with the Fall 2024 quarter. Specific dates are estimated and subject to change. As part of the Fast Track program, students will take the courses following the schedule below.

Students who need to change from the set course plan as outlined below will have to withdraw from the Fast Track program and are subject to additional fees. Students must achieve a grade of C or higher (not a C minus) in order for the course to count towards the certificate requirements.

Spring 2024
Introduction to Python Programming (April 8, 2024 – May 26, 2024)
Intermediate Python (May 27, 2024 – July 14, 2024)

Summer 2024
Python for Data Analysis (July 22, 2024 – September 8, 2024)
Introduction to Machine Learning with Python (September 9, 2024 – October 27, 2024)

Fall 2024
Data Structures, Data Mining, and Big Data with Python (October 28, 2024 – December 15, 2024)

Enrollment Policies

Refund deadline: 4/22/2024. Refunds and/or enrollment transfers will not be approved after this date.

Students enrolled in the Fast Track series receive a discounted program fee. If your plans change, a request to drop (or transfer) to another offering of a series or course must be received prior to the course start date and may require a processing fee of $30.

Requesting a drop from the full series prior to the start of the first class will be processed with a full refund, less a $30 processing fee.

Requests to drop the Fast Track series after starting the first class will be processed with a refund of remaining funds after the full course fee is assessed for each class started or completed in the series.

Contact the program coordinator to discuss changes to the Fast Track series of courses.

Click here to view the complete enrollment policy information including details on drops, refunds, and transfers.

Technical Requirements

Minimum Technical Requirements Internet Connections: You will need a stable connection to the Internet. A broadband connection is recommended. Browsers: A current, non-beta browser, such as Google Chrome, Microsoft Internet Explorer, Mozilla Firefox, or Safari. Software and Computer Capabilities: The following requirements apply to most online courses: Ability to view PDF documents. Ability to view Flash-based or HTML5 presentations. HTML5 should work on all Android and iOS devices. Speakers or headphones to hear presentation audio. Please see our website for additional information here.