This course is designed to provide comprehensive training in Power BI, equipping learners with the skills to analyze data, create interactive dashboards, and deliver actionable insights. Whether you’re a beginner or an experienced data professional, this course will help you leverage Power BI for advanced data visualization and reporting.

Tools & Technologies Covered:

• Power BI Desktop
• Power BI Service
• Power Query
• DAX (Data Analysis Expressions)

Course Overview
This course will help you:

• Connect to various data sources and transform data using Power Query.
• Create interactive dashboards and reports to visualize data effectively.
• Write advanced DAX calculations for deep analytical insights.
• Publish and share reports using the Power BI Service.

Course Curriculum

Module 1: Introduction to Power BI

• What is Power BI?
• Understanding the Power BI Ecosystem (Desktop, Service, and Mobile)
• Installing and Setting Up Power BI Desktop

Module 2: Connecting and Transforming Data

• Importing Data from Multiple Sources (Excel, SQL, Web)
• Power Query Basics
  • Data Cleaning and Transformation
  • Merging and Appending Queries
• Data Modeling
  • Creating Relationships Between Tables
  • Star Schema and Snowflake Schema

Module 3: Building Visualizations

• Creating Basic Visuals
  • Bar Charts, Line Charts, and Pie Charts
  • Tables and Matrix Visualizations
• Advanced Visualizations
  • Maps, Treemaps, and Heatmaps
  • Custom Visualizations from the Marketplace
• Using Filters and Slicers for Interactivity

Module 4: Introduction to DAX (Data Analysis Expressions)

• Writing Basic DAX Calculations
  • SUM, COUNT, AVERAGE, and Logical Functions
• Advanced DAX
  • Calculated Columns and Measures
  • Time Intelligence Functions (YTD, QTD, MTD)
• Optimizing DAX Queries

Module 5: Building Dashboards and Sharing Reports

• Designing Interactive Dashboards
  • Using Bookmarks, Buttons, and Tooltips
  • Adding Drill-Through Pages
• Publishing Reports to Power BI Service
  • Managing Datasets and Workspaces
  • Scheduling Data Refreshes

Module 6: Advanced Power BI Features

• Working with Row-Level Security (RLS)
• Power BI with Python and R for Advanced Analytics
• Power BI Integration with Power Automate

Key Features:

• Hands-On Practice: Work on real-world datasets to build reports and dashboards.
• Industry-Relevant Curriculum: Learn best practices for data visualization and reporting.
• Certification: Earn a Power BI certificate upon successful completion.

Who Should Attend?

• Data Analysts and Business Intelligence Professionals.
• Business Users who work with data-driven decision-making.
• Anyone interested in learning advanced data visualization techniques.