Microsoft Power BI – Business Data Analytics (ROT)

Course Mode:

Remote Online Training (Live Instructor-led Sessions)

Course Level:

Beginner to Intermediate

Course Objectives:

By the end of this course, participants will:

1. Understand the fundamentals of data analytics and visualization using Power BI.
2. Learn to import, transform, and model data from multiple sources.
3. Gain proficiency in using Power Query and DAX (Data Analysis Expressions).
4. Develop interactive dashboards and reports for data-driven decision-making.
5. Learn best practices for data storytelling and visualization.
6. Explore advanced analytics capabilities, including AI-powered insights.
7. Publish, share, and collaborate on reports using Power BI Service.

Learning Outcomes:

Upon completion, learners will be able to:
✅ Connect to different data sources and clean data using Power Query.
✅ Create meaningful data models and use DAX for calculations.
✅ Build and design interactive dashboards with effective visuals.
✅ Apply best practices in business data analytics and storytelling.
✅ Share reports securely with stakeholders using Power BI Service.
✅ Leverage AI-powered features for predictive insights.

Course Outline:

Module 1: Introduction to Power BI & Business Data Analytics

• Overview of Business Intelligence & Analytics
• Introduction to Power BI – Components & Workflow
• Installation & Setting up Power BI Desktop
• Understanding Data Sources & Connections

Module 2: Data Preparation & Transformation using Power Query

• Connecting to Various Data Sources (Excel, SQL, Web, APIs)
• Cleaning & Transforming Data using Power Query
• Data Shaping & Data Types
• Merging & Appending Queries

Module 3: Data Modeling & Relationships

• Introduction to Data Modeling
• Creating Relationships between Tables
• Optimizing Performance with Star & Snowflake Schema
• Understanding the Importance of Fact & Dimension Tables

Module 4: Introduction to DAX (Data Analysis Expressions)

• Introduction to DAX – Why It’s Important
• Basic DAX Functions (SUM, AVERAGE, COUNT)
• Logical & Conditional Functions
• Time Intelligence Functions

Module 5: Data Visualization & Dashboard Design

• Best Practices for Data Visualization
• Creating Interactive Reports with Charts & Graphs
• Using Slicers, Filters & Drill-Through
• Implementing Conditional Formatting & Tooltips

Module 6: Advanced Power BI Features

• AI-Powered Visuals & Insights (Key Influencers, Smart Narrative)
• Implementing Row-Level Security (RLS)
• Creating Custom Visuals & Using Power BI Marketplace
• Introduction to Power BI Mobile

Module 7: Publishing & Sharing in Power BI Service

• Publishing Reports to Power BI Service
• Scheduling Data Refresh & Managing Workspaces
• Creating Dashboards & Sharing Reports
• Power BI Apps & Collaboration Features

Module 8: Case Studies & Capstone Project

• Real-World Business Case Study
• Developing an End-to-End Business Analytics Dashboard
• Presentation & Feedback Session
• Q&A and Certification Guidance

Training Methodology:

✅ Live Instructor-Led Sessions: Interactive online classes with real-time demonstrations.
✅ Hands-on Practice: Practical exercises & real-world datasets for hands-on learning.
✅ Case Studies: Business use cases to apply Power BI skills in real scenarios.
✅ Q&A and Discussions: Dedicated time for queries and problem-solving.
✅ Capstone Project: A final project to reinforce learning and application.
✅ Assessments & Feedback: Quizzes, assignments, and instructor feedback.

Target Audience:

• Business Analysts
• Data Analysts & Managers
• IT Professionals & Developers
• Finance & HR Professionals
• Anyone interested in Business Intelligence & Data Visualization