Power BI

Power BI

IT

This 20-hour program builds end-to-end Power BI competency — from connecting and modeling data to writing DAX, designing compelling reports, and publishing governed dashboards to the Power BI Service. The course blends c…

Self-Paced

Program Overview

This 20-hour program builds end-to-end Power BI competency — from connecting and modeling data to writing DAX, designing compelling reports, and publishing governed dashboards to the Power BI Service. The course blends conceptual grounding in business intelligence with hands-on, project-based practice.

Target Audience

Business analysts, data analysts, reporting teams, and managers who need to build or consume interactive BI dashboards.

Prerequisites

Basic Excel knowledge is helpful. No prior BI tool or programming experience required.

Learning Objectives

By the end of this module, participants will be able to:

  • Connect, clean, and model data from multiple sources in Power BI
  • Write DAX measures for aggregation and time intelligence
  • Design clear, interactive, and visually effective reports
  • Apply AI-powered visuals to surface deeper insights
  • Publish, secure, and govern dashboards in the Power BI Service

Detailed Syllabus

Unit 1: BI Foundations & Data Connectivity (3 hrs)

  • Business intelligence concepts and the Power BI ecosystem
  • Power BI Desktop interface and workflow
  • Connecting to files, databases, and cloud sources

Unit 2: Data Transformation & Modeling (3 hrs)

  • Power Query for data shaping and cleaning
  • Relationships, star schema, and data modeling best practices

Unit 3: DAX (3 hrs)

  • DAX fundamentals: calculated columns vs. measures
  • Aggregation and logical DAX functions
  • Time intelligence functions (YTD, QTD, prior period comparisons)

Unit 4: Visualization & AI Features (4 hrs)

  • Core visualizations and formatting
  • Custom and advanced visuals
  • AI visuals: Key Influencers, Decomposition Tree, Q&A

Unit 5: Reports, Dashboards & Interactivity (3 hrs)

  • Report design and UX best practices
  • Bookmarks, drill-through, and interactive navigation

Unit 6: Publishing, Governance & Optimization (3 hrs)

  • Row-level security and data governance
  • Publishing, workspaces, and apps in Power BI Service
  • Performance optimization best practices

Unit 7: Capstone Project (1 hr)

  • End-to-end BI project build and presentation

Hour-Wise Breakdown (20 Hours)

Hour

Topic

Content Covered

Hands-On Activity

1

BI Foundations

BI concepts & the Power BI ecosystem

Map out a BI reporting workflow for a sample business

2

BI Foundations

Power BI Desktop interface tour

Explore panes, ribbons, and views

3

Data Connectivity

Connecting to Excel, CSV, SQL, and cloud sources

Connect Power BI to three different data sources

4

Data Transformation

Power Query: shaping & cleaning data

Clean and reshape a raw sales dataset

5

Data Modeling

Relationships & star schema design

Build a star schema model from fact/dimension tables

6

Data Modeling

Modeling best practices & data categories

Optimize an existing data model

7

DAX

Introduction to DAX: columns vs. measures

Create 5 calculated columns and measures

8

DAX

Aggregation & logical DAX functions

Build SUMX, CALCULATE, and FILTER-based measures

9

DAX

Time intelligence functions

Build YTD, QTD, and YoY growth measures

10

Visualization

Core chart types & formatting

Build a set of core visuals for a sales report

11

Visualization

Advanced & custom visuals

Add a custom visual from AppSource

12

AI Features

Key Influencers & Decomposition Tree

Analyze churn drivers using Key Influencers

13

AI Features

Natural-language Q&A visual

Set up and test a Q&A visual on a dataset

14

Report Design

Report design & UX best practices

Redesign a cluttered report following UX principles

15

Interactivity

Bookmarks, drill-through, navigation

Build a bookmark-driven navigation menu

16

Governance

Row-level security & data governance

Implement RLS for two user roles

17

Publishing

Publishing, workspaces & apps

Publish a report and create a workspace app

18

Optimization

Performance optimization best practices

Optimize a slow-loading report

19

Capstone Project

Applied project work session

Build an end-to-end BI report for a business case

20

Capstone Project

Project presentation & wrap-up

Present the BI dashboard and receive feedback

Practical Exercises

  • Building a star-schema data model from raw fact/dimension tables
  • Writing DAX measures for YTD, QTD, and YoY comparisons
  • Designing an interactive sales dashboard with drill-through and bookmarks
  • Configuring row-level security for multiple user roles
  • Using Key Influencers and Decomposition Tree to explain business drivers

Real-World Projects

  • Capstone: End-to-end sales & operations BI dashboard including data modeling, DAX measures, AI visuals, RLS, and Power BI Service publishing.
  • Mini-project: Executive KPI scorecard with drill-through detail pages.

Assessment Plan

Component

Weight

Description

Formative quizzes (end of each unit)

20%

Short quizzes on modeling, DAX, and visuals

Practical exercises

30%

Hands-on tasks completed during each session

Capstone project

40%

End-to-end BI dashboard build and presentation

Participation & engagement

10%

In-class contribution and peer feedback

Tools Required

  • Power BI Desktop (latest version, free)
  • Power BI Service account (free or Pro trial)
  • Sample datasets (provided): sales, finance, and HR data
  • Windows laptop (Power BI Desktop is Windows-only) with internet access

Expected Outcomes

  • Build complete data models from raw, multi-source data
  • Write effective DAX measures for common business calculations
  • Design professional, interactive Power BI reports
  • Apply AI visuals to accelerate insight discovery
  • Publish and govern dashboards securely in an organization

Full curriculum is for enrolled learners

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