Advanced Power BI: Expert Data Analysis and Visualization

Overview

This Advanced Power BI course is meticulously designed to equip professionals with the expertise needed to master data analytics and visualization at an advanced level. By delving into critical aspects such as data transformation, modeling, and visualization, this course ensures you gain comprehensive skills to handle complex data scenarios effectively.

Participants will learn to connect and consolidate data from diverse sources, automate data processes, and build robust data models. The course also covers advanced topics like role-level security, fuzzy matching, and the creation of transformation tables, enabling you to manage and protect data with confidence.

Syllabus

• Introduction to Advanced Power BI
Course Objectives and Learning Outcomes
Overview of Key Features in Power BI
• Advanced Data Connectivity and Consolidation
Connecting to Diverse Data Sources
Data Import Strategies and Best Practices
Combining and Cleaning Data with Power Query
Automating Data Refreshes and Processes
• Complex Data Transformation Techniques
Advanced M Language for Data Transformation
Fuzzy Matching for Data Merging
Creation and Use of Transformation Tables
• Building Robust Data Models
Introduction to DAX for Advanced Modeling
Measures, Calculated Columns, and Calculated Tables
Time Intelligence Functions in DAX
Handling Many-to-Many Relationships
• Data Visualization Best Practices
Creating Advanced Visualizations with Custom Visuals
Designing Interactive and Dynamic Reports
Utilizing Themes and Templates for Consistency
Storytelling with Data: Effective Reporting Techniques
• Advanced Analytics and Insights
Implementing Role-Level Security in Power BI
Using What-If Parameters for Scenario Analysis
Applying Advanced Analytical Techniques and KPIs
• Governance, Deployment, and Collaboration
Power BI Service: Publishing and Sharing Best Practices
Integrating Power BI with Other Microsoft Services
Managing Workspaces and Content Distribution
Monitoring and Optimizing Performance
• Managing Data Security and Compliance
Ensuring Data Security with Power BI Settings
Implementing Compliance and Data Protection Measures
• Course Project: Real-World Data Analysis Scenario
Participants Work on a Capstone Project
Real-Life Data Scenario Analysis and Reporting
Presentation and Peer Review
• Conclusion and Next Steps
Recap of Key Learnings
Resources for Continued Learning
Feedback and Course Completion Ceremony

Taught by

Ali Asghar Noorani

Subjects

Data Science