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 - Automate Professional Data ETL training are: Advanced Excel mastery, database basics, and first steps in Power Query. A preliminary interview validates your eligibility.

Is the training available in person?

Yes, the Training Power Query - Automate Professional Data ETL training is available in distanciel. The format can be adapted to your needs (inter, intra, custom).

Training Power Query - Automate Professional Dat... | 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 - Automate Professional Data 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 - Automate Professional Data 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 - Automate Professional Data 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 functions for professional ETL

Develop parameterized and reusable queries for enterprise use

Optimize performance for processing large volumes of data

Implement complex joins and conditional transformations

Design certified ETL pipelines connected to Power BI

Automate extraction and cleaning from multiple data sources

Training program

Module 1Advanced Power Query Transformations: Custom Functions and Cleaning (M Language, Advanced Editor)

Dive into the Power Query editor to create custom functions in M Language, clean complex datasets from CSV and SQL sources, apply conditional transformations on millions of rows, perform practical exercises on real enterprise cases such as monthly sales consolidation, produce a first reusable ETL pipeline with dynamic parameterization, and validate your skills through immediate performance auditing.

Module 2Power Query Joins and Aggregations: Data Modeling (Linked Tables, DAX Intro, Grouping)

Master advanced joins between heterogeneous sources like Excel, web, and databases, aggregate data with custom groupings and hierarchical calculations, integrate an introduction to DAX for dynamic measures, work on a concrete multi-source financial reporting case, generate optimized pivot tables ready for Power BI, and optimize memory usage through buffering techniques, while documenting your queries for team maintenance.

Module 3Power Query Parameterization and Automation: Loops and APIs (Parameters, Iterative Scripts, REST Flows)

Set up parameterized queries for maximum flexibility in production, implement recursive loops to handle nested structures like JSON/API, connect Power Query to real-time web services, develop an automated script extracting daily e-commerce data, test robustness on real error scenarios, produce a deliverable ETL dashboard with error logging, and measure time savings for your business processes.

Module 4Power Query Optimization and Deployment: Performance and Integration (Debugging, Power BI Service, Governance)

Optimize query performance on large volumes with indexing and native folding, debug complex pipelines using the advanced traceability tool, integrate your ETL into Power BI Service for enterprise deployment, complete an end-to-end project on anonymized HR data, evaluate performance metrics before/after, prepare certified data governance, and leave with a professional starter kit including templates and best practices.