Business Intelligence

Power BI Analytics & Reporting

Transform raw data into compelling insights with Microsoft Power BI. Master data visualization, advanced analytics, and dashboard creation to drive data-driven decision making.

32+

Hours Content

4

Real Projects

15

Max Students

100%

Certified

Course Overview

This comprehensive Power BI course transforms you from a beginner to a confident data analyst. Learn to connect to multiple data sources, create stunning visualizations, build interactive dashboards, and master advanced DAX functions for complex calculations and business intelligence insights.

What You'll Master

Power BI Desktop and Service
Advanced data modeling techniques
DAX functions and calculations
Interactive dashboards & reports
Power Query for data transformation
Advanced analytics & AI features
Data security & governance
Real-time data refresh & automation

Prerequisites

  • Proficiency in Microsoft Excel (formulas, pivot tables)
  • Basic understanding of databases and data concepts
  • Familiarity with business reporting and analytics
  • Basic knowledge of SQL queries (helpful but not mandatory)
Course Information
Duration
6 Weeks (32+ Hours)
Batch Size
Maximum 15 Students
Schedule
3 Sessions/Week (2 Hours Each)
Format
In-person & Online Available
Certificate
Industry-Recognized
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Detailed Curriculum

Foundation of Power BI ecosystem, understanding business intelligence concepts, and getting started with Power BI Desktop.

Topics Covered:
  • Power BI ecosystem overview (Desktop, Service, Mobile)
  • Business Intelligence fundamentals
  • Installing and configuring Power BI Desktop
  • Understanding the Power BI interface and navigation
  • Power BI licensing and subscription models
  • Data sources and connectivity options
  • Creating your first simple report
Practical Work:

Create a basic sales report using sample data

Master data connectivity and transformation using Power Query Editor for cleaning and shaping data from multiple sources.

Topics Covered:
  • Connecting to various data sources (Excel, SQL, Web, APIs)
  • Power Query Editor interface and functionality
  • Data cleaning and transformation techniques
  • Merging and appending queries
  • Creating custom columns and conditional logic
  • Data type management and error handling
  • Query optimization and performance tips
Practical Work:

Transform messy sales data from multiple Excel files into clean dataset

Build robust data models with proper relationships, hierarchies, and optimized structure for accurate reporting and analysis.

Topics Covered:
  • Data modeling best practices and principles
  • Creating and managing table relationships
  • Understanding cardinality and cross-filter direction
  • Star schema vs. snowflake schema design
  • Creating hierarchies and drill-down structures
  • Managing inactive relationships
  • Data model optimization techniques
Practical Work:

Build a comprehensive sales data model with multiple fact and dimension tables

Master Data Analysis Expressions (DAX) for creating powerful calculations, measures, and advanced analytics in Power BI.

Topics Covered:
  • DAX syntax and function categories
  • Calculated columns vs. measures
  • Basic aggregation functions (SUM, COUNT, AVERAGE)
  • Time intelligence functions (YTD, MTD, Previous Year)
  • Filter context and row context understanding
  • Advanced DAX functions (CALCULATE, FILTER, ALL)
  • Creating complex business calculations
Practical Work:

Create advanced KPIs including YoY growth, running totals, and ranking calculations

Create stunning and interactive visualizations using Power BI's comprehensive chart library and custom visuals.

Topics Covered:
  • Chart types and when to use them
  • Creating interactive reports with slicers and filters
  • Advanced chart formatting and customization
  • Maps and geospatial visualizations
  • Custom visuals from AppSource
  • Drill-through and cross-filtering techniques
  • Mobile-responsive report design
Practical Work:

Design an executive dashboard with interactive charts and geographic analysis

Learn to publish, share, and collaborate using Power BI Service, including workspace management and data refresh automation.

Topics Covered:
  • Publishing reports to Power BI Service
  • Creating and managing workspaces
  • Building dashboards and pinning visuals
  • Sharing reports and dashboards
  • Setting up data refresh schedules
  • Managing datasets and data gateways
  • Power BI mobile app configuration
Practical Work:

Publish and share a complete business intelligence solution

Hands-On Projects

Sales Performance Dashboard

Build a comprehensive sales analytics dashboard with KPIs, trend analysis, geographic mapping, and drill-down capabilities for regional performance.

Data Modeling DAX Measures Interactive Charts
HR Analytics & Employee Insights

Create an HR dashboard analyzing employee performance, retention rates, demographic insights, and predictive analytics for workforce planning.

Power Query Time Intelligence Advanced Filters
Financial Reporting & Budgeting

Develop a financial dashboard with P&L analysis, budget vs. actual comparisons, cash flow visualization, and variance analysis reporting.

Financial Modeling Variance Analysis Drill-through
E-commerce Analytics Platform

Build a comprehensive e-commerce analytics solution with customer segmentation, product performance, and real-time sales monitoring capabilities.

Real-time Data Customer Analytics Mobile Design

Ready to Master Power BI Analytics?

Transform your data analysis skills and become a Power BI expert. Unlock the power of data-driven decision making!

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Only 15 Seats Available