Welcome
Contents
Welcome¶
Python for Absolute Beginners (@pythonfab) is a free online program designed for busy professionals who want to learn programming quickly and efficiently.
Unlike most offerings, the course combines self-paced material with live interactive sessions. The course design is based on principles of active learning. Our goal is to teach you computation skills and the power of abstract thinking, not simply coding. The course was especially designed for those interested in Data Science and Machine Learning careers.
Fall 2022 Schedule¶
Python Level I is a 10-week course. It begins in September 2022.
Orientation. Tue, Sep6, 7:00 PM EDT.
Getting Started. Tue, Sep13, 7:00 PM EDT
Simple Objects and Operations. Tue, Sep20, 7:00 PM EDT
String Methods. Tue, Sep27, 7:00 PM EDT
Collections. Tue, Oct4, 7:00 PM EDT
Iteration. Tue, Oct11, 7:00 PM EDT
Branching. Tue, Oct18, 7:00 PM EDT
Functions. Tue, Oct25, 7:00 PM EDT
The final two weeks will be spent for review and presentation of coding challenges.
Registration¶
Registration for the course will begin on Tuesday, September 12th and close on Friday, September 30th. Registration is free, but you will have to commit to a) logging in to the Moodle course site at least once a week; b) spending at least 30 minutes per week on the course.
To register for the course:
Create a login at the Moodle website. Click the button “Create New Account.”
After you have created a new account, email pythonfab@gmail.com that you wish to register for Python for Absolute Beginners, Level I.
Course Web Site (Moodle)¶
Approximately 24 hours after registration, you will receive access to the Moodle course web site. The course web site will contain all the instructional resources you will need for the course. If you are having difficulty, please email: pythonfab@gmail.com.
Course Web Site (Moodle)¶
You can register for online interactive events at the Meetup Web Page.
Please consult the:
Curriculum page for what you will learn in Python, Level I.
FAQ page for Frequently Asked Questions about the program.
Learning Design page for an overview of the learning design.
Data Science and Machine Learning web pages for course offerings in Data Science and Machine Learning.