Is the training Qualiopi certified?

Yes, Learni is a Qualiopi-certified training organization. This certification guarantees the quality of our courses and enables funding through OPCO and other mechanisms.

How can I fund my training?

Our courses are eligible for OPCO funding. Learni supports you through the funding process. A personalized quote is available upon request.

What are the prerequisites for this training?

The prerequisites for the Training Power Query M Language - Automate Advanced ETL training are: Mastery of graphical Power Query, advanced SQL, functional programming. A preliminary interview validates your eligibility.

Is the training available in person?

Yes, the Training Power Query M Language - Automate Advanced ETL training is available in in-person. The format can be adapted to your needs (inter, intra, custom).

Training Power Query M Language - Automate Advan... | Learni

The story of Learni

Founded by passionate advocates of learning and innovation, Learni set out to make professional training accessible to everyone, everywhere in the world. Our team works in the largest cities such as Paris, Lyon, Marseille, and internationally, to support talents and organizations in their skills development.

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Methods, approaches, and teaching resources

The Training Power Query M Language - Automate Advanced ETL training is delivered in-person or remotely (blended-learning, e-learning, virtual classroom, remote in-person). At Learni, a Qualiopi-certified training organization, each program is designed to maximize skills acquisition, regardless of the training mode chosen.

The trainer alternates between demonstrative, interrogative, and active methods (through practical exercises and/or real-world scenarios). This pedagogical approach ensures concrete and directly applicable learning in the workplace.

Teaching resources provided

To ensure the quality of the Training Power Query M Language - Automate Advanced ETL training, Learni provides the following teaching resources:

Mac or PC computers, high-speed fiber internet, whiteboard or flipchart, video projector or interactive touchscreen (for remote sessions)
Training environments installed on workstations or accessible online
Course materials, practical exercises, and supplementary resources
Post-training access to materials and teaching resources

For in-house training at a location external to Learni, the client ensures and commits to having all necessary teaching materials (IT equipment, internet connection...) for the proper conduct of the training action in accordance with the prerequisites indicated in the communicated training program.

* contact us for remote feasibility** ratio varies depending on the training followed

Assessment methods

The assessment of skills acquired during the Training Power Query M Language - Automate Advanced ETL training is carried out through:

During training: case studies, practical exercises, and professional scenarios
At the end of training: self-assessment questionnaire and skills evaluation by the trainer
After training: training completion certificate detailing acquired skills

Training accessibility

Learni is committed to the accessibility of its professional training programs. All our training programs are accessible to people with disabilities. Our teams are available to adapt teaching methods to your specific needs. Do not hesitate to contact us for any accommodation request.

Training access terms and deadlines

Training objectives

Master advanced Power Query M syntax for professional ETL

Develop custom M Language functions in an enterprise context

Optimize M query performance on massive datasets

Implement complex transformations with M for certified BI

Design automated M Language pipelines in production

Debug and profile M code for expert data skills

Training program

Module 1Advanced Fundamentals of Power Query M Language

Expert M syntax. Let-in expressions. Advanced data types. Custom native functions. Robust error handling. Exercises on concrete enterprise ETL cases. Setup of red thread data warehouse project. Intensive M code practice. Optimization of initial queries. Interactive debugging. Power BI integration. 120 words for professional hands-on practice.

Module 2Custom Functions and Transformations in Power Query M Language

Creation of recursive M functions. Advanced arrays and lists. Operations on records. Dynamic dataset merging. M query parameterization. Concrete data engineering cases. Professional ETL pipeline exercises. Red thread project progression. Performance tuning with List.Generate. Memory management for massive datasets. External API integration via M. Hands-on practice for certifiable skills. 110 words enterprise-oriented.

Module 3Optimization and Deployment of Power Query M Language

M Language performance profiling. Advanced query folding. M code modularization. Automation via scripts. Deployment to Power BI Service. Data security and governance. Final exercises on red thread project. Real business intelligence cases. Expert debugging. Enterprise best practices. ETL skills evaluation. Project presentation. Post-training resources. 105 words for professional expertise.