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 Firebase Analytics - Advanced App Data Analysis training are: Mastery of Firebase Core, advanced JavaScript, SQL/NoSQL, and analytics tools like Google Analytics. A preliminary interview validates your eligibility.

Is the training available in person?

Yes, the Training Firebase Analytics - Advanced App Data Analysis training is available in distanciel. The format can be adapted to your needs (inter, intra, custom).

Training Firebase Analytics - Advanced App Data ... | 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 Firebase Analytics - Advanced App Data Analysis 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 Firebase Analytics - Advanced App Data Analysis 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 Firebase Analytics - Advanced App Data Analysis 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

Master Firebase Analytics for predictive analyses in enterprise settings

Develop advanced custom events and professional user funnels

Implement BigQuery integration for complex certifying SQL queries

Optimize app performance via Firebase insights in production

Design real-time dashboards and automated alerts for maximum ROI

Deploy advanced A/B tests with Remote Config and Analytics

Analyze cohorts and retention for data-driven certifying strategies

Training program

Module 1Firebase Analytics Setup: Custom Events and Advanced Audiences (SDK, Console, BigQuery)

Dive into expert configuration of Firebase Analytics on iOS/Android/Web, implement parameterized custom events with user properties for fine segmentation, set up BigQuery export for real-time SQL analyses, perform exercises on a red thread e-commerce app project, test predictive audiences and generate first professional reports, with console debugging for immediate and valuable enterprise implementation.

Module 2Funnels and Conversions in Firebase Analytics: Advanced Modeling (Funnels, Attribution, ML Kit)

Build complex multi-step funnels in Firebase Analytics to track user journeys, integrate cross-platform attribution with Google Ads, apply ML models for churn predictions via Predictions API, analyze real SaaS app cases with conversion optimization, develop custom reports via Data Studio, hands-on exercises on your app to boost ROI and demonstrate certifying professional data skills.

Module 3Cohorts and Retention in Firebase Analytics: Expert BigQuery Queries (SQL, Looker Studio)

Leverage advanced cohorts in Firebase Analytics to measure LTV and retention, write optimized SQL queries on massive BigQuery datasets, integrate Looker Studio for interactive real-time dashboards, simulate enterprise scenarios with 1M+ users, set up anomaly alerts and automated exports, apply to a red thread project for actionable insights, transform raw data into concrete professional business strategies.

Module 4Optimization and A/B Testing in Firebase Analytics: Remote Config and Scaling (Tests, Security)

Deploy advanced A/B tests coupled with Firebase Analytics via Remote Config for dynamic personalization, secure data with Privacy Sandbox and consent mode, scale for high-traffic apps with BigQuery partitioning, analyze impacts via uplift metrics and summary reports, finalize the red thread project with presentation and enterprise implementation plan, acquire certifying skills to optimize app performance and monetization in production.