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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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Don't let this gap widen
Without mastery of Power Query M language, advanced ETL processes devolve into manual, error-prone workflows, where 75% of data incidents stem from flawed custom transformations and functions, per Gartner reports.
This inefficiency wastes 25-40 hours weekly per data analyst on rework—translating to $200,000 in lost productivity per team annually.
BI developers and managers face stalled projects, career derailment amid rising demands for automated pipelines, and company risks of $1M+ in compliance fines from inaccurate reporting.
Every month without these skills, competitors surge ahead with 8x faster ETL delivery.
The Training Power Query M Language - Automating 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.
To ensure the quality of the Training Power Query M Language - Automating Advanced ETL training, Learni provides the following 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.
The assessment of skills acquired during the Training Power Query M Language - Automating Advanced ETL training is carried out through:
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.
Learni training programs are available for inter-company and intra-company settings, both in-person and remote. Registration is possible up to 48 business hours before the start of training. Our programs are eligible for OPCO, Pôle emploi, and FNE-Formation funding. Contact us to discuss your training project and funding possibilities.
Extended M language syntax. Complex conditional expressions. Advanced data type management. Native custom functions. Practical application on enterprise datasets. Exercises refactoring existing queries. Start of ongoing ETL project. Real professional data transformation cases. Initial performance optimization in M.
Creation of recursive custom M functions. Advanced lists, tables, and records. Iterators and loops in M language. Operations on nested structures. Professional exercises on large data volumes. Integration of dynamic parameters. Ongoing project: development of a custom ETL function. Practical application with real BI cases. Management of iterative performance.
Techniques for optimizing M queries. Advanced profiling and debugging. Try-otherwise for robust error handling. Partitioning and folding in M language. Exercises on massive enterprise datasets. Reduction of execution time. Ongoing project: complete ETL optimization. Real production BI cases. Best certified practices in M Language.
API connections and external sources in M. Multi-source automation. M scripts for Power BI and Excel. Secure production deployment. Presentation of professional ongoing ETL project. Evaluation of advanced skills. Enterprise best practices. Real data pipeline examples. Closing with certifying multiple-choice quiz.
Target audience
Data analysts, BI developers, data managers for advancing ETL skills
Prerequisites
Mastery of basic Power Query, advanced Power BI/Excel, basic programming knowledge
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