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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 - Leveraging Professional 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 - Leveraging Professional 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 - Leveraging Professional 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.
Secure installation and configuration of the Bloomberg API with blpapi in Python, connection to the Bloomberg Terminal to test initial sessions, creation of reference queries for equity and bond instruments using practical functions like ReferenceDataRequest, extraction of real-time data with MarketDataRequest on live quotes and volumes, development of automated scripts for historical data via HistoricalDataRequest, exercises on concrete business cases such as portfolio backtesting, performance optimization with subscriptions and event handlers, production of functional deliverables ready to integrate into your analytical workflows, with code review by the expert trainer.
Target audience
Financial analysts, quants, and finance developers seeking to advance their skills in market data
Prerequisites
Mastery of Python and basic knowledge of financial markets or derivative instruments
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