Business Intelligence Analytics with Power BI


COURSE CATEGORY:
Training

COURSE OBJECTIVES

To equip participants with practical skills in business intelligence and data analytics using Microsoft Power BI, including data preparation, transformation, modelling, visualization and dashboard development, to support evidence-based decision-making and improve organizational performance.

KEY TOPICS

  • Foundations of Business Intelligence (BI)
  • Data Preparation and Transformation Using Power Query
  • Data Modelling with Power BI
  • Data Analysis Expressions (DAX) and Key Performance Indicators (KPIs)
  • Interactive Data Visualization and Dashboard Design
  • Reporting, Publishing and Sharing Insights
  • BI Strategy, Data Storytelling and Decision-Making
  • Practical Case Study: End-to-End Business Intelligence Project

LEARNING OUTCOMES

By the end of the course participants will be able to:

  • Explain the fundamentals and applications of business intelligence.
  • Prepare, clean and transform data using Power Query.
  • Develop data models and establish relationships between datasets.
  • Apply DAX functions to calculate measures, key performance indicators (KPIs) and analytical metrics.
  • Design interactive dashboards and visual reports using Power BI.
  • Publish and share reports to communicate actionable insights.
  • Apply business intelligence techniques to support evidence-based decision-making and improve organizational performance.

TARGET PARTICIPANTS

The course targets data analysts, BI professionals, business executives, IT specialists, finance and HR practitioners, entrepreneurs, and students. Physical sessions will run from 2–6 November 2026, 9:00 AM–1:30 PM, at the CE Conference Room, UDBS, UDSM Mlimani Campus. Online sessions will run from 2–13 November 2026, 7:00 PM–8:30 PM. For more information, please call 0712293055.

Offered By : Directorate of Public Services - College of Information and Communications Technology

OTHER DETAILS

Course Timeline 5 days
Starting at: 02/11/2026 , ends at: 06/11/2026
Cost: 750,000

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