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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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The Training Lombok 2026 - Mastering BI Analysis with Power BI and Tableau 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 Lombok 2026 - Mastering BI Analysis with Power BI and Tableau 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 Lombok 2026 - Mastering BI Analysis with Power BI and Tableau 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.
Discover Power BI through practical exercises on real Lombok 2026 datasets, import CSV and Excel files containing tourist flows and hotels, model table relationships with basic DAX, create first column and graph visualizations, test interactive filters, export PDF reports, consolidate learning with a mini personal project analyzing projected 2026 attendance.
Dive into DAX for custom measure calculations on Lombok 2026 economic projections, design geolocated maps indicating tourist hotspots, integrate slicers and segments for smooth navigation, optimize dashboard performance via direct queries, collaborate via secure link sharing, apply to concrete case of hotel revenue forecasts, deliver a functional dashboard ready for publication.
Get started with Tableau Prep to clean raw Lombok 2026 datasets including weather and events, join multiple tables via drag-and-drop, create LOD calculations for dynamic aggregations, build heatmaps and timelines for visitor flows, set up filtering actions, publish to Tableau Public, validate skills with exercise to reconstruct a complete tourism dashboard.
Compare Power BI and Tableau on Lombok 2026 cases, connect external APIs for real-time flight and booking data, merge outputs via Power Query and Tableau Extracts, develop narrative storytelling with enriched tooltips and annotations, test mobile responsiveness, integrate iterative feedback, produce a comparative report deliverable to the company demonstrating BI synergies.
Deploy BI solutions in shared Power BI Service and Tableau Server workspaces, configure on-premise data gateways for automatic refresh of Lombok 2026 projections, apply row-level security by user roles, monitor usage via performance metrics, train on enterprise data governance, conclude with simulated certification and post-training action plan for lasting skills.
Target audience
Beginner analysts, operational managers, tourism marketing managers seeking to upskill in business intelligence to analyze data from innovative projects like Lombok 2026
Prerequisites
Basic computer knowledge, regular use of Excel, no prerequisites in BI tools like Power BI or Tableau
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