Official Description

8.0 Continuing Education Units (CEUs)

Overview of organizational capabilities and structures required to successfully create a data-driven business culture, including analytics maturity models, an integrated approach to defining and staffing data science projects, roles and responsibilities within a data project, development of data products and services, AI Canvas, collaboration and innovation tools and techniques including Design Thinking. Challenges and best practices in data governance and compliance. Data Science tools and techniques including Alteryx, Tableau, GitHub, and Google Cloud Platform.


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.

Topics Covered

  • Stories and Dashboards  
  • Development of Data Products and Services  
  • Governance, Projects and Roles  
  • Project Management Methods and Tools
  • Tasks, Processes, People and Data 

Learning Outcomes

The course is designed to enable you to:
  • Articulate the differences between IT and Data Science Projects
  • Explain an integrated approach to defining and staffing data science projects
  • Outline the different elements of a successful data driven strategy
  • Recognize workplace processes and data sources to identify opportunities to apply data science and analytics techniques
  • Organize a data science team
  • Determine the elements required to support a transformation effort using data
  • Explain the key elements that constitute a properly implemented data governance framework


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.


Prerequisite(s) and Corequisite(s)

Applies Towards the Following Programs

Section(s) offered
Section Title
Leading Data Science Projects & Teams
Language of Delivery
Online Course, fixed date
6:00PM to 9:00PM
May 07, 2024 to Jul 09, 2024
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
Jan 25, 2024 to May 14, 2024
Transfer Request Deadline
Jan 25, 2024 to May 14, 2024
Withdrawal Request Deadline
May 14, 2024 to May 21, 2024
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 Format 

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.  

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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