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Course Description

This course will discuss the various methods and best practices that are in line with business and technical requirements for modeling, visualizing, and analyzing data with Power BI. The course will also show how to access and process data from a range of data sources including both relational and non-relational data. This course will also explore how to implement proper security standards and policies across the Power BI spectrum including datasets and groups. The course will also discuss how to manage and deploy reports and dashboards for sharing and content distribution. Finally, this course will show how to build paginated reports within the Power BI service and publish them to a workspace for inclusion within Power BI.

This course reviews the following skills:

  • Ingest, clean, and transform data
  • Model data for performance and scalability
  • Design and create reports for data analysis
  • Apply and perform advanced report analytics
  • Manage and share report assets
  • Create paginated reports in Power BI

Who is this course for?

The audience for this course are data professionals and business intelligence professionals who want to learn how to accurately perform data analysis using Power BI. This course is also targeted toward those individuals who develop reports that visualize data from the data platform technologies that exist on both in the cloud and on-premises.

 

Questions? Email continuingeducation@wlu.ca to learn more.

Refunds

  • Up to 10 days before the start of course: Full refund less 15% administrative fee.
  • One to nine days before start of course: Full refund less 30% administrative fee.
  • No refunds will be issued as of the first day of the course.

Prerequisites

  • Understanding core data concepts.
  • Knowledge of working with relational data in the cloud.
  • Knowledge of working with non-relational data in the cloud.
  • Knowledge of data analysis and visualization concepts.

 

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Enroll Now - Select a section to enroll in
Section Title
Analyzing Data with Microsoft Power BI
Type
Remote
Days
T, Th
Time
7:00PM to 10:00PM
Dates
Oct 19, 2021 to Nov 16, 2021
Schedule and Location
Total Hours
30.0
Location
Delivery Options
Remote  
Course Fee(s)
Course Fee non-credit $320.00
Section Notes

You will require access to a computer with s a stable internet connection to attend online classes. It is helpful if students can access Microsoft PowerBI, but not required. 

This course uses Laurier's Online Learning Management System, MyLearning Space (MYLS). The instructor will post your course outline and other materials in MYLS. You will have access to the course as of the course start date and will receive communications with further details about the course prior to the course start date. 

This section is eligible for a T2202 tax receipt.

Section Title
Analyzing Data with Microsoft Power BI
Section Schedule
Date and Time TBA
Location
Delivery Options
Remote  
Course Fee(s)
Course Fee non-credit $320.00
Section Notes

You will require access to a computer with s a stable internet connection to attend online classes. It is helpful if students can access Microsoft PowerBI, but not required. 

This course uses Laurier's Online Learning Management System, MyLearning Space (MYLS). The instructor will post your course outline and other materials in MYLS. You will have access to the course as of the course start date and will receive communications with further details about the course prior to the course start date. 

This section is eligible for a T2202 tax receipt.

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