Understand Big O Notation in Python
$9.99
ENROLL NOWCourse Overview
What You'll Learn
- In this 1-hour long project, you will gain first-hand experience using Python to model algorithmic efficiency tradeoffs.
- By implementing simulations of real-world systems using Big O notation, you will be able to quantify performance impacts of technical and business decisions.
- This will prepare you to advocate the importance of scale efficiency in data systems you design and maintain.
In this 1-hour long project, you will gain first-hand experience using Python to model algorithmic efficiency tradeoffs. By implementing simulations of real-world systems using Big O notation, you will be able to quantify performance impacts of technical and business decisions. This will prepare you to advocate the importance of scale efficiency in data systems you design and maintain.
Course FAQs
Is this an accredited online course?
Accreditation for 'Understand Big O Notation in Python' is determined by the provider, Duke University. For online college courses or degree programs, we strongly recommend you verify the accreditation status directly on the provider's website to ensure it meets your requirements.
Can this course be used for continuing education credits?
Many of the courses listed on our platform are suitable for professional continuing education. However, acceptance for credit varies by state and licensing board. Please confirm with your board and {course.provider} that this specific course qualifies.
How do I enroll in this online school program?
To enroll, click the 'ENROLL NOW' button on this page. You will be taken to the official page for 'Understand Big O Notation in Python' on the Duke University online class platform, where you can complete your registration.
