Python Development II (Micro-credential)

Students expand on the knowledge and skills acquired from Introduction to Python Programming. In this micro-credential, students explore advanced Python data structures, learn to manage project files, and perform basic error handling and testing. Through hands-on activities, students apply recommended programming practices including documentation and naming conventions to build Python files.

Notes:

This course uses Linkedin Resources. Students will be required to purchase (at an additional cost) a Linkedin Subscription/Licence in order to participate in this course.

Course Delivery Method:

This course is delivered Online Asynchronously. For more information on the delivery methods, click here.

This course uses Linkedin Resources. Students will be required to purchase (at an additional cost) a Linkedin Subscription/Licence in order to participate in this course.

Course Delivery Method:

This course is delivered Online Asynchronously. For more information on the delivery methods, click here.

A digital badge will be awarded upon the completion of this micro-credential. You must notify us via email at pplbadges@durhamcollege.ca once you complete each Micro-credential. Once verified, a digital badge will be issued to you.

This micro-credential is part of the “ Python Programming Micro-Credential course series”.

MICRO-CREDENTIAL FEATURES:

Self-directed, asynchronous learning with the support of a facilitator

Real-world assessment(s) to evaluate competencies

Interactive multimedia components

MICRO-CREDENTIAL REQUIREMENTS:

Ontario Secondary School Diploma (OSSD) including Grade 12 English (C or U) and Grade 11 Math (C, M or U) OR;

Grade 12 equivalency certificate achieved through College academic upgrading OR;

Mature Student Status (19 years of age or older) with Grade 12 English (C or U) and Grade 11 Math (C, M or U)

PROGRAM COMPETENCIES:

Upon completion of this Micro-credential, students will be equipped to:

1. Configure Github to develop a Python codebase.

2. Create modular and flexible code through test driven development.

3. Build code using container types and advanced structures to store data.

4. Manipulate data using iterators.

5. Handle interactions with a filesystem using I/O operations

6. Control application flow using exception handling.

7. Package a Python project for distribution.