Course
Intro to Python
When companies, researchers, engineers, and analysts develop solutions, create products, or make policy recommendations, they rely on Data Analysis to make informed decisions. In this course, you will learn about the basics of programming in Python and applying these skills to analyzing data. You'll start with the basics of designing an algorithm, basic Python programming, an introduction to the Scipy scientific computing ecosystem, and learn the fundamentals of machine learning.
Note that you will be required to do 5-10 hours of work per week outside of class time. Those with little to no prior knowledge will require more time to gain familiarity with the concepts.
Note that you will be required to do 5-10 hours of work per week outside of class time. Those with little to no prior knowledge will require more time to gain familiarity with the concepts.
Upcoming date(s)
Term
Section
mode
Fees
January 15 – March 19, 2025
We 18:00 – 21:00
Winter
1
Online
$800.00
Term
Winter
Section
1
mode
Online
Fees
$800.00
April 3 – June 5, 2025
Th 18:00 – 21:00
Spring
1
Online
$800.00
Term
Spring
Section
1
mode
Online
Fees
$800.00
September 16 – November 18, 2025
Tu 18:00 – 21:00
Fall
1
Online
$840.00
Term
Fall
Section
1
mode
Online
Fees
$840.00
January 14 – March 18, 2026
We 18:00 – 21:00
Winter
1
Online
$840.00
Term
Winter
Section
1
mode
Online
Fees
$840.00
April 2 – June 4, 2026
Th 18:00 – 21:00
Spring
1
Online
$840.00
Term
Spring
Section
1
mode
Online
Fees
$840.00
Your takeaways
This course is a great way to help you:• Gain a foundation in numerical programming and algorithm development;
• Learn Python as a language for writing scripts, packages, and performing data analysis;
• Develop and refine skills in git for version control and bash for operating within Linux environments;
• Learn basic principles and pitfalls of machine learning applied to real-world problems.
Our approach
This course employs project-based learning that's focused on the acquisition of practical, real-world skills and not just theory. You'll be taught in our computer labs by an industry pro using state-of-the-art technologies, software and equipment.Who benefits the most?
Individuals who want to improve the performance of their organization by harnessing Big Data.• Professionals who want to leverage data for better decision-making.
• Entrepreneurs with projects that could benefit from data analytics.
• Students in fields like geography, biology, psychology, humanities or any other field with big data.
• IT professionals who want to transition to Big Data from more traditional sectors.
Concordia CCE Loyalty Discount
All students who meet at least one of the following conditions, will receive a 10% discount on their CCE course or workshop tuition fees:
- Have completed a CCE, Undergraduate or Graduate course at Concordia University in a prior academic term;
- Have completed a language proficiency test (IELTS) at CCE;
- Have completed a CCE Professional Development Seminar/Workshop.
This discount is based on the information maintained in the Concordia University student information system.
NOTE: This discount does not apply to a language proficiency test enrollment (IELTS) nor to application fees for admission to a CCE program of study.