Official Description

8.0 Continuing Education Units (CEUs)

Overview of how data science can help drive business decisions and create new business models. Emphasis on data strategy, the data science lifecycle and process, business and analytics problem framing, overcoming challenges of implementing a data-driven business, including ethics, data governance, and privacy. Application of data science across various industries and business areas. Data science tools, including Alteryx and Tableau for data preparation, analysis, and visualization.


Supplementary Information

20 hours of lectures and 60 hours of independent study; course includes synchronous and asynchronous activities.



This course is aligned with the IIBA’s Certification in Business Data Analytics (IIBA®-CBDA) competencies. More information.



The PDUs earned through this non-credit-bearing course can be used by CAP and aCAP certificants to satisfy the 30 PDUs needed to renew their certification every three (3) years. More Info.

Topics Covered

  • Introduction to Data Science and Analytics
  • Ethics in AI
  • Law and Privacy
  • Industry Disruption
  • Critical Thinking
  • Data Strategy
  • Data Science Process
  • Visualization Techniques and Storytelling
  • Analytics Techniques

Learning Outcomes

The course is designed to enable you to:
  • Outline the various elements of a successful data driven strategy
  • Analyze a business or an organization by using the Business Model Canvas, and how different data types and sources could be leveraged to create new business opportunities
  • Explain the commonalities and the differences of the application of data analytics / science techniques within different industry sectors
  • Apply critical thinking methods to understand the impact of data and algorithms on business and society taking into consideration ethical and legal issues
  • Assess ethical and privacy considerations that arise when gathering, storing and working with data
  • Re-frame a business question as a data question
  • Apply tools, techniques and data visualization principles to different phases of the data cycle
  • Appreciate the applications of machine learning to different business contexts


This course is supported by DataCamp, the most intuitive learning platform for data science. Learn R, Python and SQL the way you learn best through a combination of short expert videos and hands-on-the-keyboard exercises. Take over 100+ courses by expert instructors on topics such as importing data, data visualization or machine learning and learn faster through immediate and personalized feedback on every exercise.

Once registered, students get free access to DataCamp for 6 months and Tableau Desktop and Alteryx Designer for the duration of the course.


Section(s) offered
Section Title
Data Science for Business Decisions
Language of Delivery
Online Course, fixed date
6:00PM to 9:00PM
Sep 05, 2023 to Nov 07, 2023
Schedule and Location
Contact Hours
Delivery Format(s)
Course Fee(s)
Fee non-credit $1,170.60 Click here to get more information
Drop Request Deadline
Jun 01, 2023 to Sep 12, 2023
Transfer Request Deadline
Jun 01, 2023 to Sep 12, 2023
Withdrawal Request Deadline
Sep 12, 2023 to Sep 19, 2023
Section Notes

This online course is a combination of weekly live online instructor-led sessions from 6:00 - 7:30 PM and self-directed learning activities and assignments.

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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