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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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30 free minutes with a training advisor — no commitment.
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Artificial Intelligence training in Raleigh in June 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Cybersecurity training in Sheffield in November 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Professional Training training in Memphis in October 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Artificial Intelligence training in San Francisco in October 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Don't let this gap widen
Sans maîtrise Bloomberg API, analystes perdent 35% temps collecte données, entraînant retards analyses critiques marchés.
Erreurs interprétation flux temps réel coûtent 20% pertes trading annuelles, comme vu 68% incidents firmes hedge funds 2023.
Équipes non formées voient carrières bloquées, 75% recruteurs fintech exigent compétences API Bloomberg.
Chaque trimestre sans compétences creuse écart concurrents livrant insights 40% plus rapides, risquant parts marché vitales.
The Formation Bloomberg API - Intégrer données finance temps réel 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 Formation Bloomberg API - Intégrer données finance temps réel 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 Formation Bloomberg API - Intégrer données finance temps réel 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.
Configuration avancée de l'environnement Bloomberg API avec SDK officiels, authentification OAuth sécurisée pour accès entreprise, exploration endpoints de base pour cotations actions et obligations, exercices pratiques sur extraction données historiques via Python pandas, tests en conditions réelles marchés, production premier script automatisé extrayant portfolio complet, revue code personnalisée par formateur expert finance.
Déploiement streaming temps réel Bloomberg API pour flux news et prix live, traitement volumes massifs avec bibliothèques Python NumPy et Dask, intégration API dans workflows Excel VBA avancés et Jupyter notebooks, cas concrets simulations trading haute fréquence, optimisation requêtes réduisant latence 50%, développement pipeline ETL complet connecté bases SQL, livrable projet fil rouge déployable production avec monitoring erreurs.
Target audience
Analystes financiers, quants, data scientists fintech souhaitant monter en compétences sur Bloomberg
Prerequisites
Maîtrise Python ou VBA, expérience APIs REST, bases finance marchés
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