Course details
Power BI is a Microsoft collection of tools and an analytics service for data visualization and business intelligence reporting. This hands-on course was designed for database professionals, data analysts, business analysts and managers. It follows on from COMP 2362 or COMP 2364, it assumes that students have an understanding of statistics for data analysis and advance functions of MS Excel. Students begin with a brief introduction to the building blocks of Microsoft Power BI and its related services. They are shown how to get a variety of data into the Power BI Desktop from multiple sources. In class labs and exercises focus on how to model, explore, clean and transform simple data for business reports. Topics include: Data Analysis Expressions, DAX, relationships and Data Visualization. Labs and assignments are designed to provide best practices that can be transferred to the workplace. COMP 2156 is an elective in several BCIT Computing credentials including the Applied Data Analytics Certificate (ADAC). By the end of this course successful students will be able use the Power BI unified analytics platform to build and publish high quality dashboards to the web.
Credits
1.5
Cost
$352.69
Course offerings
Fall 2022
Below are three offerings of COMP 2156 for the Fall 2022 term.
CRN 46985
Duration
Fri Oct 28 - Fri Dec 09 (6 weeks)
- 6 weeks
- CRN 46985
- $352.69
Class meeting times
Dates | Days | Times | Locations |
---|---|---|---|
Oct 28 - Dec 09 | Fri | 18:30 - 21:30 | Online |
Instructor
Ahmad Chamy
Course outline
Course outline TBD — see Learning Outcomes in the interim.
Cost
$352.69
Important information
- Internet delivery format.
- Departmental approval needed
- Important course information will be sent to you prior to your course start date. Check your myBCIT email account to access this information.
-
Please email cstpts@bcit.ca for Departmental approval. Include your Student number (A0#) and COMP__ and preferred CRN __ and Program Declaration____. Course is 18 hours synchronous online classes. Late registration is not permitted. No class November 11 (Remembrance Day).
Status
CRN 47627
Duration
Tue Nov 01 - Tue Dec 06 (6 weeks)
- 6 weeks
- CRN 47627
- $352.69
Class meeting times
Dates | Days | Times | Locations |
---|---|---|---|
Nov 01 - Dec 06 | Tue | 18:00 - 21:00 | Online |
Instructor
Wouter De Raeve
Course outline
Course outline TBD — see Learning Outcomes in the interim.
Cost
$352.69
Important information
- Internet delivery format.
- Departmental approval needed
- Important course information will be sent to you prior to your course start date. Check your myBCIT email account to access this information.
-
Please email cstpts@bcit.ca for Departmental approval. Include your Student number (A0#) and COMP__ and preferred CRN __ and Program Declaration____. Course is 18 hours synchronous online classes. Late registration is not permitted.
Status
CRN 46984
Duration
Fri Sep 09 - Fri Oct 21 (6 weeks)
- 6 weeks
- CRN 46984
- $352.69
Class meeting times
Dates | Days | Times | Locations |
---|---|---|---|
Sep 09 - Oct 21 | Fri | 18:30 - 21:30 | Online |
Instructor
Ahmad Chamy
Course outline
Course outline TBD — see Learning Outcomes in the interim.
Cost
$352.69
Important information
- Internet delivery format.
- Departmental approval needed
- Important course information will be sent to you prior to your course start date. Check your myBCIT email account to access this information.
-
Please email cstpts@bcit.ca for Departmental approval. Include your Student number (A0#) and COMP__ and preferred CRN __ and Program Declaration____. Course is 18 hours synchronous online classes. Late registration is not permitted. No class on September 30 (Truth & Reconciliation).
Status
Full
This course offering is full. Please check this page for other currently available offerings, subscribe to receive email updates or contact us with your comments or questions.
Learning Outcomes
Upon successful completion of this course, the student will be able to:
- Describe MS Power BI and its components.
- Explore different data connections to multiple sources, local, and online.
- Apply data preparation and migration principles to extract insights from data.
- Implement basic and advance matrix calculations in MS Power BI.
- Explore filters and slicers for interactive visualizations.
- Create and understand different visualizations and dashboards in MS Power BI.
- Tell the data story to engage stakeholders to bring insights from data visualizations.
- Publish MS Power BI dashboards to the internet.
Effective as of Winter 2020
Related Programs
Introduction to Microsoft Power BI (COMP 2156) is offered as a part of the following programs:
School of Computing and Academic Studies
- Applied Computer Information Systems (ACIS)
Associate Certificate Part-time
- Applied Data Analytics
Certificate Part-time
- Applied Database Administration and Design
Associate Certificate Part-time
- Computer Systems
Diploma Part-time
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