Data Visualization with Power BI Training Course

This course equips participants with the knowledge and hands-on skills to create powerful, interactive data visualizations using Microsoft Power BI. It covers data preparation, modeling, and visualization best practices, enabling professionals to transform raw data into actionable business insights. Participants will learn to design effective dashboards, apply DAX functions, and integrate Power BI with various data sources for advanced reporting and analytics.

Target Groups

• Business intelligence professionals
• Data analysts and data scientists
• Finance and accounting professionals
• Business managers and executives
• IT and MIS specialists
• Students and researchers in analytics fields
• Anyone interested in building professional data dashboards

Course Objectives

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

• Understand the fundamentals of data visualization and storytelling with Power BI.
• Connect, clean, and prepare data from multiple sources.
• Build effective data models using Power BI.
• Apply DAX for calculated columns, measures, and advanced analytics.
• Design interactive dashboards and reports for business decision-making.
• Implement best practices in visualization design and user experience.
• Share and publish dashboards across teams securely.
• Integrate Power BI with Excel, SQL, and other business systems.
• Automate reporting workflows using Power BI features.
• Apply real-world case studies for actionable insights.

Course Modules

Module 1: Introduction to Power BI and Data Visualization

• Overview of business intelligence and visualization principles
• Power BI architecture and components
• Types of visualizations and when to use them
• Setting up the Power BI environment

Module 2: Connecting and Preparing Data

• Importing data from Excel, SQL, and online sources
• Data cleaning with Power Query Editor
• Handling missing and inconsistent data
• Transforming and shaping datasets

Module 3: Data Modeling in Power BI

• Relationships between tables and data normalization
• Star schema vs. snowflake schema
• Creating hierarchies and calculated tables
• Introduction to DAX (Data Analysis Expressions)

Module 4: DAX Functions and Calculations

• Calculated columns vs. measures
• Aggregation and filtering functions
• Time intelligence functions for trends and forecasting
• Advanced DAX patterns and performance optimization

Module 5: Building Effective Visualizations

• Using charts, tables, and matrices effectively
• Designing maps and geospatial visualizations
• KPI cards, slicers, and filters for interactivity
• Best practices in chart selection and design

Module 6: Interactive Dashboards and Reports

• Creating user-friendly dashboards
• Drill-down, drill-through, and cross-filtering
• Bookmarks and storytelling techniques
• Custom visuals from the marketplace

Module 7: Advanced Analytics in Power BI

• Using what-if parameters and scenarios
• Forecasting and trend analysis
• R and Python integration in Power BI
• Machine learning models in dashboards

Module 8: Power BI Service and Collaboration

• Publishing reports to Power BI Service
• Sharing dashboards securely
• Row-level security and role-based access
• Collaboration with Microsoft Teams and SharePoint

Module 9: Integration with External Tools

• Power BI and Excel integration
• Connecting to cloud data sources (Azure, Google BigQuery, etc.)
• Embedding Power BI in applications and portals
• Power BI mobile apps for on-the-go insights

Module 10: Case Studies and Capstone Project

• Building a financial performance dashboard
• Sales and marketing analytics project
• Operational efficiency case study
• Presenting dashboards for business decision-making