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 Google Data Studio - Automated Expert Dashboards training are: Advanced mastery of SQL, Google BigQuery, Google Analytics 360, basics in Apps Script scripting.. A preliminary interview validates your eligibility.

Is the training available in person?

Yes, the Training Google Data Studio - Automated Expert Dashboards training is available in remote. The format can be adapted to your needs (inter, intra, custom).

Training Google Data Studio - Automated Expert D... | 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 Google Data Studio - Automated Expert Dashboards 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 Google Data Studio - Automated Expert Dashboards 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 Google Data Studio - Automated Expert Dashboards 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 objectives

Optimize multi-source connections BigQuery and Sheets

Build interactive dashboards with advanced filters

Automate reports via Community Visualizations

Master calculated fields and custom functions

Integrate scripts for dynamic data refresh

Deploy scalable solutions in enterprise

Analyze and debug visualization performance

Training program

Module 1Advanced Connections: Modeling BigQuery Data (Google Data Studio, SQL blends)

Dive into expert connections, configure complex blends between BigQuery and Sheets, test on real enterprise datasets, create your first optimized data models, practical exercises to scale sources, deliverable: custom relational schema ready to deploy.

Module 2Expert Visualizations: Dynamic Calculated Fields (formulas, custom charts)

Master advanced calculated fields with regex and lookups, design interactive charts like Sankey or bullet charts, apply to concrete marketing cases, iterate in real-time via drag-and-drop, share collaborative prototypes, deliverable: library of reusable visuals.

Module 3Filters and Controls: Complex Interactions (parameters, cross-filters)

Develop smart filters with URL parameters and dynamic fields, simulate BI scenarios live, integrate cross-filters for narrative dashboards, test robustness on massive volumes, optimize end-user UX, deliverable: interactive dashboard with drill-through.

Module 4Automation: Scripts and Community Viz (Apps Script, embeds)

Integrate third-party Community Visualizations, automate refresh via Apps Script and webhooks, deploy secure embeds in internal apps, debug in real conditions, measure performance impacts, deliverable: automated report ready for production.

Module 5Professional Deployment: Scaling and Governance (permissions, versioning)

Configure advanced governance with versioning and granular permissions, deploy across multi-teams, analyze performance metrics, migrate to Looker Studio seamlessly, finalize capstone project on your data, deliverable: deployed expert portfolio.