Microsoft Digital Skills - Power BI Data Analyst (2023)

PL-300
Closed
Saskatchewan Polytechnic
Regina, Saskatchewan, Canada
Jeremy Eng
Lead Cloud Applications and Data Instructor
3
Timeline
  • July 1, 2023
    Experience start
  • July 4, 2023
    Project Scope Meeting
  • December 16, 2023
    Experience end
Experience
4 projects wanted
Dates set by experience
Preferred companies
Anywhere
Any
Any industries
Categories
Information technology Databases Data visualization Data analysis Data modelling
Skills
power bi data modeling digital literacy microsoft certified professional dashboard data analysis
Learner goals and capabilities

Saskatchewan Polytechnic is the first post-secondary institution in Canada to become a Microsoft in Education Global Training Partner.

As a Microsoft in Education Global Training Partner, Saskatchewan Polytechnic offers a range of services provided by fully qualified Microsoft Certified trainers and Microsoft Certified Educators, delivering official Microsoft Learn Curriculum in Microsoft Technical Certifications, Microsoft Fundamentals as well as Microsoft Certified Educator content.

This posting is for a course to prepare students for the following Microsoft Role: Microsoft Power BI Data Analyst.

These courses run on a rolling basis throughout the year - please submit to this posting if your project is to be completed in 2023. For projects running future other timeframes, please refer to our subportal on Riipen.

Students in this course are all enrolled in the School of Continuing Education and therefore are more experienced in the workforce.

Learners
Continuing Education
Any level
10 learners
Project
20 hours per learner
Learners self-assign
Individual projects
Expected outcomes and deliverables

This will be dependent on the scope of the given project. This could include a written report and/or presentation on student findings and recommendations.

Some potential project examples:

  • Extract key insights from data by creating an interactive Power BI report. Involves cleaning, profiling, and creating a data model if data is sourced from multiple tables.
  • Create and administer a Power BI workspace for collaborating and sharing reports among multiple users. Also create dashboards to highlight key visualizations and create an app to combine the reports and dashboards in the workspace.
Project timeline
  • July 1, 2023
    Experience start
  • July 4, 2023
    Project Scope Meeting
  • December 16, 2023
    Experience end
Project Examples

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.

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.

Students in this course will be developing the skillset required to successfully write the PL-300: Microsoft Power BI Data Analyst

Companies must answer the following questions to submit a match request to this experience:

A representative of the company will be available to answer questions from students in a timely manner for the duration of the project.

A representative of the company will be available for a pre-selection discussion with the administrator of the course to review the project scope.