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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 Neo4j - Master the Basics of Graph Databases for Your Data 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 Neo4j - Master the Basics of Graph Databases for Your Data training, Learni provides the following teaching resources:
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The assessment of skills acquired during the Training Neo4j - Master the Basics of Graph Databases for Your Data training is carried out through:
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Discover graphs through concrete examples like social networks, install Neo4j Desktop in 10 minutes, create your first graph with nodes and relationships, write your first Cypher queries to explore data, perform practical exercises on real datasets, produce a deliverable: personal graph schema, all while benefiting from individualized coaching for total immersion.
Dive into complex Cypher queries to analyze paths and patterns, visualize your graphs with Bloom, import CSV data into Neo4j through guided exercises, apply to a business case like fraud detection, optimize your first models, generate exportable reports, end with a concrete project delivered and debriefed to boost your confidence in Neo4j from tomorrow.
Target audience
Backend developers, data analysts, IT consultants upskilling in graph databases.
Prerequisites
SQL basics, basic knowledge of Python or Java programming, Windows/Linux environment.
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