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Course Description

In this course, you will 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 will learn how to integrate an analytics platform into existing IT infrastructure and manage the analytics development lifecycle. Furthermore, you will learn how to query data, design and build tabular data models and optimize enterprise-level data models.

Earn a Micro-Credential

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

Learner Outcomes

Upon completing this course, you will 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.

Prerequisites

Prerequisites: 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
Oct 22, 2024 to Nov 28, 2024
Schedule and Location
View Details
Contact Hours
36.0
Delivery Options
Virtual  
Course Fee(s)
Tuition Fee non-credit $715.00
Drop Request Deadline
Apr 12, 2024 to Oct 23, 2024
Transfer Request Deadline
Apr 12, 2024 to Oct 23, 2024
Withdrawal Request Deadline
Oct 24, 2024 to Nov 14, 2024
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 Oct 22, 2024 and ending on Nov 28, 2024 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
Jul 08, 2025 to Aug 14, 2025
Schedule and Location
View Details
Contact Hours
36.0
Delivery Options
Virtual  
Course Fee(s)
Tuition Fee non-credit $715.00
Drop Request Deadline
Apr 12, 2024 to Jul 09, 2024
Transfer Request Deadline
Apr 12, 2024 to Jul 09, 2024
Withdrawal Request Deadline
Apr 10, 2024 to Jul 31, 2024
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 Jul 8, 2025 and ending on Aug 14, 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.

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