Full Course Description
Master Power BI for data visualization. Create interactive reports, connect data sources, and gain business insights with hands-on projects.
Course Overview
- Course Duration:2 Months (Including Lab Work, Internship, and real-world assignment).
- Modes of Training: Online Classes/Offline Training (at selected centers).
- Projects:Available – Real-world Power BI-based dashboard development projects.
Microsoft Power BI Certification Training Course
- Learn Power BI interface, workspace setup, and data modeling fundamentals.
- Import, clean, and transform data using Power Query.
- Create interactive dashboards with DAX formulas and data relationships.
- Connect Power BI with Excel, SQL, and cloud data sources.
- Publish, share, and automate reports using Power BI Service.
- Prepare for the Microsoft Power BI Data Analyst credential preparation (PL-300).
Overview of Microsoft Power BI Certification Training Course
The Microsoft Power BI credential preparation Training Course equips learners with advanced skills in business intelligence, analytics, and data visualization. You'll gain hands-on experience transforming raw data into actionable insights using Power BI Desktop and Service, providing the specialized analytical expertise needed to advance your career.
This course helps professionals master DAX, Power Query, and data modeling techniques through real-time projects. By the end of the program, you'll be fully prepared to earn your Microsoft Power BI credential preparation and become a skilled Data Analyst or BI Developer.
1. Introduction to Power BI
- Overview of Power BI Tools.
- Installing Power BI Desktop.
- Understanding Power BI Workflow.
2. Data Loading and Transformation
- Connecting to different data sources.
- Data cleaning and shaping.
- Creating relationships.
- Calculated columns and measures.
4. Report and Dashboard Creation
- Creating relationships.
- Calculated columns and measures.
- Publishing to Power BI Service.
- Workspaces, dashboards, and collaboration.
- Sharing and embedding reports.
6. Advanced Power BI
- Integrating R and Python.
- Advanced analytics using AI visuals.
- Row-Level Security (RLS).
7. Power BI Mobile App & Embedded BI
- Designing for mobile views.
- Embedding reports into websites/apps.