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Data Modelling and Business Intelligence OPMT 7750

Operations Management Part-time Studies Course

Course details

This course utilizes Excel’s PowerPivot and PowerBI functionality working on skills to model different types of data and how the data is synthesized into management information. In addition to the these skills, this course will dive into the issues related to big data and analyze big data so information can be integrated into the strategic decision-making process by using data visualization tools. Students will be then able to build custom dashboards to answer management problems.


  • Acceptance into the Bachelor of Business Administration program.





Course offerings

Fall 2022

Below is one offering of OPMT 7750 for the Fall 2022 term.

CRN 48399


Tue Sep 06 - Thu Dec 15 (15 weeks)

  • 15 weeks
  • CRN 48399
  • $858.08
Class meeting times
Dates Days Times Locations
Sep 06 - Oct 20 Thu 18:00 - 20:00 Online
Oct 27 Thu 18:00 - 20:00 Burnaby SE06 Rm. 209
Nov 03 - Dec 15 Thu 18:00 - 20:00 Online

Shauna Begley

Course outline






Important information
  1. Departmental approval needed
  2. This course is reserved for students enrolled in the old BBA matrix. Students accepted into the new matrix starting Fall 2021 will be withdrawn from this course if registered. Please contact for more information. Enrollment is restricted to students accepted into the Bachelor of Business Administration Degree Program. Registration approval is automatically given upon full acceptance into the part-time program. This is an online course with asynchronous lectures, scheduled weekly labs on Thursdays from 1800-2000, and an in-person midterm exam at the Burnaby campus on October 27th from 1800-2100.

In Progress

This course offering is in progress. Please check back next term or subscribe to receive email updates.

Learning Outcomes

Upon successful completion of this course, the student will be able to:

  • Understand Data Modelling:
    • Structure data gathering to a business need.
    • Utilize systems to store, edit, and retrieve required data.
    • Determine best practices in data use.
    • Discuss ethical and legal considerations in the use of data.
  • Understand Data Visualization:
    • Build effective data visualizations to communicate meaning through data.
    • Determine correct visual tool to analyze multiple data types.
    • Perform quantitative and qualitative analyses as appropriate.
    • Select tools to effectively convey meaning.
  • Understand Power BI:
    • Perfom basic application use.
    • Describe Business Intelligence (e.g., Online Analytical Processing or OLAP).
    • Perform data analysis using MS Power BI toolset.
    • Perform time series analysis (forecasting techniques).
    • Apply Power BI to Data Mining and Discovery methods.
    • Use single and multiple table data sources in Power BI.

Effective as of Fall 2019


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