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Description

Official Description

4.0 Continuing Education Units (CEUs)

Introduction to fundamental principles of data science, data collection, exploration and visualization techniques. Focus is placed on how data science supports business decision-making, translating data insights into business value, new business models and products, opportunities and challenges faced by data-driven businesses.

 

Supplementary Information

30 hours in-class plus minimum 10 hours of assignments.

Topics Covered

  • Python fundamentals 
  • Data science  
  • Data-driven decisions 
  • Basic math, probability, and statistics for data science  
  • Data visualization 
  • Exploratory data analysis 

Learning Outcomes

  • Demonstrate basic Python skills required for different data science projects  
  • Connect to different types of datasets using Python  
  • Perform exploratory data analysis on a data set using different Python data science packages   
  • Choose and apply appropriate basic data visualization techniques to support exploratory analysis of datasets  
  • Describe the data science process and its different steps  
  • Explain certain data-driven business models and the link between data and business value 

Applies Towards the Following Programs

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Section(s) offered
Section Title
Introductory Data Science for Business Decisions
Language of Delivery
English
Type
In-class Lecture
Days
T
Time
9:30AM to 12:00PM
Dates
Jan 06, 2026 to Feb 24, 2026
Type
In-class Lecture
Days
T
Time
9:30AM to 12:00PM
Dates
Mar 10, 2026 to Mar 31, 2026
Schedule and Location
Contact Hours
30.0
Location
  • Downtown, Montreal
Course Fee(s)
Fee non-credit $1,437.50
Drop Request Deadline
Oct 15, 2025 to Jan 13, 2026
Transfer Request Deadline
Oct 15, 2025 to Jan 13, 2026
Withdrawal Request Deadline
Jan 13, 2026 to Jan 13, 2026
Section Notes

A minimum number of registrations is required for this course section to be offered. The School reserves the right to cancel any course section when a minimum number of registrations has not been reached 7 days prior to the start date. In the event of a cancellation, the course fee will be refunded in full.

Course Drop/Withdrawal Policy

  • Any time prior to the 1st class: Course Drop Period with Full Refund.
  • After the 1st and before the 2nd class: Course Withdrawal Period with Full Refund.
  • After the 2nd class before the 3rd class: Course Withdrawal with No Refund.

 

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