Power BI Classes

Power BI for Visual Storytelling

The Power BI for Data Analytics & Business Intelligence program is designed to equip participants with practical skills to transform raw data into meaningful insights using Microsoft Power BI. Whether you’re tracking business performance, conducting program evaluations, or building interactive dashboards, this course will help you harness the full power of Power BI for data-driven decision-making.


From connecting to diverse data sources to creating advanced visualizations and reports, participants will learn how to clean, model, and analyze data efficiently, making insights easily accessible to stakeholders through dynamic dashboards and automated reporting systems.

 

Program Overview

In today’s data-driven world, organizations require real-time insights to stay competitive and impactful. Power BI stands out as one of the leading business intelligence tools, enabling professionals to analyze and visualize data with speed, accuracy, and clarity.

This hands-on training blends practical exercises with real-world scenarios, ensuring participants gain confidence in using Power BI for day-to-day data analysis and reporting. You’ll learn to design dashboards, apply DAX functions, manage data models, and publish reports for seamless collaboration. The program emphasizes not just tool mastery, but also storytelling with data to drive strategic decisions.

This program is ideal for:

  • M&E officers analyzing project data for program reporting
  • Business analysts and managers monitoring organizational KPIs
  • NGO and humanitarian staff evaluating field data and donor reports
  • Finance and operations teams building performance dashboards
  • Researchers visualizing survey results and trends
  • Data officers and IT professionals integrating Power BI into MIS systems
  • Any professional aiming to replace manual reporting with automated, interactive dashboards

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

  • Confidently navigate the Power BI interface (Desktop & Service)
  • Connect Power BI to multiple data sources (Excel, SQL, APIs, web data, etc.)
  • Clean, transform, and model data using Power Query and DAX
  • Create interactive dashboards with advanced charts, KPIs, and drill-throughs
  • Design automated reports with slicers, filters, and visuals for dynamic analysis
  • Share dashboards securely via Power BI Service and embed in apps/websites
  • Integrate Power BI with Excel, Teams, SharePoint, and external systems
  • Set up scheduled refreshes for real-time reporting
  • Apply best practices for dashboard design and data storytelling

Key Core Areas to be Covered

Introduction to Power BI

  • Overview of Power BI ecosystem: Desktop, Service, Mobile, and Gateway
  • Installing Power BI Desktop & navigating the workspace

Data Connectivity & Preparation

  • Connecting to Excel, CSV, SQL databases, web data, and APIs
  • Cleaning and transforming data with Power Query
  • Handling missing values and creating relationships between tables

Data Modeling & DAX

  • Introduction to Data Analysis Expressions (DAX)
  • Creating calculated columns, measures, and KPIs
  • Implementing time intelligence for trend analysis

Visualization & Dashboard Design

  • Building reports with charts, maps, tables, and custom visuals
  • Applying slicers, filters, and drill-down functionality
  • Best practices for impactful, user-friendly dashboards

Publishing & Sharing

  • Publishing reports to Power BI Service
  • Creating and managing workspaces, apps, and user access
  • Sharing dashboards with teams and stakeholders securely

Data Integration & Automation

  • Integrating Power BI with Excel, Teams, and SharePoint
  • Setting up scheduled refresh and automated alerts
  • Embedding Power BI dashboards into websites and third-party apps

Data Quality & Monitoring

  • Tracking data refresh status and usage metrics
  • Troubleshooting report performance and errors

Advanced Features

    • Using AI visuals and natural language Q&A
    • Implementing row-level security (RLS) for data access control
    • Connecting Power BI with other analytics tools (Tableau, Google Data Studio, Python, R)

Scaling BI Solutions

  • Best practices for enterprise deployment
  • Managing large datasets with performance optimization
  • Governance, security, and compliance considerations