Learn Power BI at Future Proof Trainings

Introduction to Power BI:

What is Power BI?

Why use Power BI for data visualization and business intelligence?

Overview of the Power BI ecosystem (Desktop, Service, Mobile).

Getting Started with Power BI Desktop:

Installing and launching Power BI Desktop.

Understanding the Power BI Desktop interface and its components.

Connecting to data sources (e.g., Excel, CSV, SQL databases).

Importing and transforming data using Power Query Editor.

Data Modeling and Relationships:

Creating data models and understanding the importance of proper data organization.

Establishing relationships between tables to enable accurate analysis.

Using the Relationship View and managing relationship types.

Data Visualization:

Creating basic visualizations (e.g., tables, matrices, charts, maps).

Customizing visualizations: formatting, colors, axes, legends.

Using visual interactions: drill-down, cross-filtering, highlighting.

Creating interactive dashboards with multiple visuals.

Measures and Calculated Fields:

Understanding measures and their role in calculations.

Creating measures using DAX (Data Analysis Expressions).

Advanced DAX functions and their applications.

Calculated fields and their differences from measures.

Data Analysis and Insights:

Exploring data with filters, slicers, and visual level filters.

Creating and using bookmarked reports for quick access.

Storytelling with Power BI: creating narratives and insights.

Using Quick Insights to automatically uncover patterns.

Power BI Service and Collaboration:

Publishing reports to the Power BI Service.

Sharing and collaborating on reports and dashboards.

Managing datasets and report security.

Using Power BI Mobile apps for on-the-go access.

Advanced Topics:

Advanced data modeling techniques (e.g., star schema, snowflake schema).

Using R and Python for advanced analytics and visualizations.

Custom visuals and their development.

Power BI Report Server and its features.

Best Practices and Troubleshooting:

Performance optimization techniques.

Handling large datasets and improving report loading times.

Common issues and troubleshooting tips.

Best practices for report design and user experience.

Conclusion and Next Steps:

Recap of the key concepts covered in the course.

Resources for further learning and exploration.

Real-world case studies and success stories.

Hands-on project ideas to apply Power BI skills.

Note: Remember, this is just an outline, and the actual course content can be expanded and tailored based on the target audience and their specific needs. Power BI is a powerful tool, and there's always more to explore and learn!