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Course Description

In this course, you'll learn how to use data analysis tools for enterprise data analysis and reporting while also exploring key aspects of governing and administering a data analytics environment. You'll learn how to integrate an analytics platform into existing IT infrastructure and manage the analytics development lifecycle. Furthermore, you'll learn how to query data, design and build tabular data models and optimize enterprise-level data models.

Learner Outcomes

Upon completing this course, you'll know how to:

  • perform modeling, querying and exploration of data in an Azure Synapse environment
  • prepare data for tabular models in Power BI
  • build tabular data models
  • optimize enterprise-scale tabular models
  • implement advanced data visualization techniques by using Power BI
  • manage the analytics development lifecycle.

Earn a SAIT micro-credential

SAIT micro-credential badge

This course qualifies for the SAITMicro badge. Students who successfully complete this course with a final grade of A- (80%) or higher will earn a micro-credential and receive a shareable digital badge. Learn more.

To request a course outline, contact ConEdAdvising@sait.ca.

Prerequisites

Prerequisites: DATA 033, Data Delivery 

The prerequisite for this course is DATA 033, Data Delivery.

Applies Towards the Following Certificates

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Enrol Now - Select a section to enrol in
Section Title
Data Analysis Applications
Type
Lecture - Online Synchronous
Days
T, Th
Time
6:00PM to 9:00PM
Dates
Feb 25, 2025 to Apr 03, 2025
Schedule and Location
Contact Hours
36.0
Delivery Options
Virtual  
Course Fee(s)
Tuition Fee non-credit $715.00
Section Notes

Prerequisites:

DATA 033 - Data Delivery

Schedule:  

This course will be delivered virtually using MS Teams or Zoom & Brightspace (D2L). Virtual sessions will be held every Tuesday and Thursday beginning February 25, 2025 and ending on April 3, 2025 from 6:00 pm - 9:00 pm.

We encourage you to use your webcam and microphone to contribute to a more collaborative learning experience.

Section Title
Data Analysis Applications
Type
Lecture - Online Synchronous
Days
T, Th
Time
6:00PM to 9:00PM
Dates
Nov 04, 2025 to Dec 11, 2025
Schedule and Location
Contact Hours
36.0
Delivery Options
Virtual  
Course Fee(s)
Tuition Fee non-credit $715.00
Section Notes

Prerequisites:

DATA 033 - Data Delivery

Schedule:  

This course will be delivered virtually using MS Teams or Zoom & Brightspace (D2L). Virtual sessions will be held every Tuesday and Thursday beginning November 5, 2025 and ending on December 11, 2025 from 6:00 pm - 9:00 pm.

Reminder: No Classes on November 11, 2024 in celebration of Remembrance Day.

We encourage you to use your webcam and microphone to contribute to a more collaborative learning experience.

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