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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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30 free minutes with a training advisor — no commitment.
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Artificial Intelligence training in Mesa in September 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Artificial Intelligence training in Glasgow in June 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Professional Training training in Dallas in July 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Artificial Intelligence training in Cardiff in May 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Don't let this gap widen
Sans maîtrise du langage M en Power Query, les data analysts perdent en moyenne 50% de temps sur des transformations manuelles répétitives, entraînant des erreurs de données impactant 30% des rapports BI.
Les entreprises subissent des coûts cachés de 20k€ annuels par analyste dû à des ETL non optimisés, avec 65% des incidents de reporting liés à un manque de scripting avancé selon Gartner.
Votre carrière stagne face à des concurrents automatisant 3x plus vite, risquant des pertes de contrats majeurs.
Investissez dès maintenant pour éviter ces pièges et booster votre productivité data.
The Formation Power Query M - Automatiser l'ETL de données avancés 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 Formation Power Query M - Automatiser l'ETL de données avancés 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 Formation Power Query M - Automatiser l'ETL de données avancés 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.
Plongez dans la syntaxe M avancée avec création de fonctions personnalisées pour transformer des datasets complexes, exercices pratiques sur des fichiers CSV et SQL réels en utilisant Table.AddColumn et List.Generate pour des itérations puissantes, mise en œuvre de conditions imbriquées via if-then-else et try-otherwise pour gérer les erreurs robustement, optimisation des performances par profiling avec des cas d'entreprise concrets comme le nettoyage de millions de lignes de ventes, production de scripts réutilisables exportables vers Power BI, et validation par un projet fil rouge sur vos propres données pour une application immédiate en production.
Target audience
Data analysts, responsables BI, analystes financiers pour monter en compétences sur l'automatisation de données en entreprise
Prerequisites
Maîtrise de Power Query de base, Excel ou Power BI et notions de programmation
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