Training: Power BI – Advanced Practice of DAX, Integration, and Optimization

Go further with Power BI: combining technical expertise and business efficiency

Power BI has become a key standard in data visualization. But beyond its basic features, its advanced capabilities turn it into a strategic tool for analysts and decision-makers. This training offers a hands-on approach to mastering the most powerful aspects of Power BI, while keeping a strong focus on real business use.

Structuring your models with DAX for more accurate analysis

One of the core focuses of this training is the advanced use of the DAX language. Often seen as complex, DAX becomes approachable here thanks to a progressive method and many practical examples. Participants will learn how to structure data models to meet real needs: time-based comparisons, dynamic calculations, or managing filter contexts. These skills are essential for building reliable, meaningful indicators in real-world environments.

Improving performance with optimized reports

Another key highlight is performance optimization. In a business setting, the speed of a report often determines how well it is adopted by users. Thanks to Power BI’s built-in Performance Analyzer, participants will learn to detect slowdowns, analyze load times, and apply best practices in modeling. This includes managing relationships, structuring tables efficiently, and choosing the right column types. These techniques save time and prevent costly errors.

Optimization is also a chance to rethink how relationships between tables are handled. Proper use of joins and relationship types has a major impact on query performance. This module helps you identify critical points and apply the best strategies for faster and more efficient results.

Expanding your analysis with Python and SQL

This course goes beyond Power BI alone. It opens connections to complementary technologies such as Python and SQL. Integrating Python allows for advanced data processing: statistical analysis, data cleansing, or enrichment using specialized libraries. This approach is ideal for technical profiles, but remains accessible through clear, guided examples.

SQL use in Power BI enhances direct connection to enterprise databases. Rather than importing large, unnecessary volumes of data, users will learn to write targeted queries to improve report relevance and speed. This is a strong asset for those working with large, distributed, or sensitive databases.

Organizing and securing reports with Power BI Service

The training concludes with a hands-on look at Power BI Service: how to organize workspaces, publish datasets, share reports, and control access. In modern organizations, these skills are crucial for ensuring efficient report deployment and solid data governance.

This module also addresses those who want to manage governance, security, and access control. You will learn to use the admin portal to monitor and manage Power BI usage across your organization.

FAQ:

Is the training accessible without a development background?

Yes. A good grasp of Power BI basics is recommended, but no advanced programming experience is required.

What DAX level is expected before taking the course?

You should know how to create simple measures, understand basic filters, and use functions like SUM or AVERAGE.

Are the practical exercises based on real-world situations?

Yes. All exercises are inspired by real business use cases to ensure immediate relevance and applicability.

Can I use my own datasets during the training?

Yes, but we recommend using the provided examples to simplify learning and group discussions.

Does the course cover data security topics?

Yes. The final module on Power BI Service includes managing access, sharing, and using the admin portal.