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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 Bloomberg API - Integrate Real-Time Financial 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 Bloomberg API - Integrate Real-Time Financial Data 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 Bloomberg API - Integrate Real-Time Financial Data 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.
Advanced configuration of the Bloomberg API environment with official SDKs, secure OAuth authentication for enterprise access, exploration of basic endpoints for stock and bond quotes, practical exercises on extracting historical data via Python pandas, tests in real market conditions, production of the first automated script extracting a complete portfolio, personalized code review by the finance expert trainer.
Deployment of real-time Bloomberg API streaming for news feeds and live prices, processing massive volumes with Python libraries NumPy and Dask, API integration into advanced Excel VBA workflows and Jupyter notebooks, concrete cases of high-frequency trading simulations, query optimization reducing latency by 50%, development of a complete ETL pipeline connected to SQL databases, deliverable ongoing project deployable in production with error monitoring.
Target audience
Financial analysts, quants, fintech data scientists seeking to advance their Bloomberg skills
Prerequisites
Proficiency in Python or VBA, experience with REST APIs, fundamentals of financial markets
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