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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.
10 spots per session maximum — 9 already taken
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30 free minutes with a training advisor — no commitment.
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Don't let this gap widen
Lacking advanced Power Pivot skills leaves data analysts drowning in complex datasets, wasting 25-40 hours weekly on manual manipulations and error-prone spreadsheets.
This inefficiency drains enterprises of $500,000 to $1.2 million annually per BI team in lost productivity, per Gartner estimates.
Flawed analysis fuels 68% of data-driven decision failures, risking multimillion-dollar strategic missteps and stalled company growth.
Every month without mastery, careers plateau as rivals deliver insights 5x faster.
The Training Power Pivot - Analyzing Complex Data in the Enterprise 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 Pivot - Analyzing Complex Data in the Enterprise 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 Pivot - Analyzing Complex Data in the Enterprise 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.
Importing multiple data sources via Power Query. Creating linked tables. Managing complex relationships. Hands-on practice with enterprise datasets. Exercises on hierarchies and calendars. Red thread project: sales database. Initial performance optimization. Real-world data analyst cases.
Advanced DAX syntax. Calculated measures with CALCULATE and FILTER. Time intelligence functions: TOTALYTD, SAMEPERIODLASTYEAR. Professional exercises on sales. Integration into pivot tables. Red thread project: KPI indicators. Hands-on real BI cases. Debugging DAX formulas.
DAX variables for performance. Iterator functions: SUMX, AVERAGEX. Row and filter contexts. What-if scenarios. Exercises on forecasting budgets. Red thread project: predictive analyses. Real-world management control cases. Optimization of complex queries.
Advanced slicers and timelines. Dynamic segmentations. Integrated Excel visualizations. Conditional formatting. Exercises on BI dashboards. Red thread project: complete executive dashboard. Real business cases. Export to Power BI.
Memory management and performance. Best practices for DAX. Model security. Production deployment. Evaluation of red thread project. Presentation of professional cases. Final quiz. Post-training support resources.
Target audience
Data analysts, management controllers, BI managers for skill enhancement
Prerequisites
Advanced proficiency in Excel, basic knowledge of Power Query and DAX
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