Python Development I (Micro-credential)

In this micro-credential students install and set up a Python development environment and learn to apply fundamental concepts of Python programming by manipulating various data types. Through hands-on assignments, students execute Python scripts that use logical operators, conditional statements, and loops.

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.

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. Explain the origin, purpose and applications of the Python programming language.

2. Configure a local Python development environment.

3. Execute the built-in functions from the interactive Python interpreter.

4. Output text using formatting and literal string interpolation.

5. Validate input data by type and pattern.

6. Build repeatable subroutines using loops.

7. Write a function that transforms a data input.