Course

Course Summary
Credit Type:
Course
ACE ID:
SKIL-0278
Organization:
Location:
Online
Length:
25 hours (52 weeks)
Dates Offered:
Credit Recommendation & Competencies
Level Credits (SH) Subject
Upper-Division Baccalaureate 3 Data Visualization
Description

Objective:

The course objective is to offer a transformative journey through the world of Power BI. Over four tracks, participants will master the essentials of data loading, visualization, and report creation in Power BI Desktop before delving into the collaborative Power BI Service and the robust capabilities of Power Query. The exploration extends into advanced topics, covering administration, security, real-time data, and performance optimization. Finally, participants will immerse themselves in the cutting-edge realm of Power BI Artificial Intelligence, gaining expertise in generating data insights, building machine learning models, and utilizing specialized AI charts. This holistic journey ensures a well-rounded proficiency in harnessing Power BI's capabilities for insightful data representation, collaborative workspaces, advanced administration, and the integration of artificial intelligence for data-driven decision-making.

Learning Outcomes:

  • Understand and apply data loading techniques and utilize Power Query for data operations.
  • Analyze data models and create advanced visualizations in Power BI.
  • Develop and manage scorecards, dashboards, and mobile reports using Power BI Service.
  • Implement Power BI administration and real-time streaming.
  • Evaluate and design AI-powered visuals and innovative narratives and explore machine learning capabilities.

General Topics:

  • Data Loading and Visualization Fundamentals
  • Loading Data from Various Sources
  • Data Modeling in Power BI
  • Advanced Visualization Techniques
  • Power Query Basics and Advanced Operations
  • Power BI Service Overview Scorecards, Dashboards, and Mobile App Utilization
  • Power BI Administration and Real-time Streaming
  • Leveraging AI and Machine Learning in Power BI
  • AI-powered Visuals and Smart Narratives
Instruction & Assessment

Instructional Strategies:

  • Computer Based Training
  • Practical Exercises

Methods of Assessment:

  • Examinations
  • Quizzes

Minimum Passing Score:

70%
Supplemental Materials