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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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Professional Training training in Dallas in July 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.
Explore the projected return on investment from no-code training programs for businesses by March 2026, including cost savings, productivity gains, and real-world case studies.
No-Code / Low-Code training in Leeds in November 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Don't let this gap widen
Sans NumPy, vos analyses data traînent avec des boucles Python lentes, multipliant par 10 le temps sur 10 000 lignes de données, comme l'avouent 75% des juniors data analysts.
Risquez 25% d'erreurs en calculs manuels, perdant des insights cruciaux et jusqu'à 20% de CA sur décisions tardives.
Perdez des heures hebdo en debug fastidieux, face à des concurrents 5x plus rapides.
Évitez burnout et frustration : en 7h, passez de novice à autonome, gagnez 500% en productivité vectorielle, transformez données brutes en atouts business immédiats.
The Formation NumPy Initiation - Maîtrisez les bases pour analyser vos données 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 NumPy Initiation - Maîtrisez les bases pour analyser vos données 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 NumPy Initiation - Maîtrisez les bases pour analyser vos données 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.
Discover a step-by-step roadmap to become a skilled AI engineer by March 2026. From prerequisites to advanced projects, tools, and job strategies, this guide covers everything for aspiring professionals.
Software Development training in Louisville in January 2025 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Plongez dans NumPy en installant l'environnement Python avec Jupyter Notebook pour un démarrage immédiat, créez vos premiers arrays à partir de listes, fichiers CSV ou données aléatoires simulant des ventes, manipulez-les via indexation précise et slicing pour extraire sous-ensembles pertinents, appliquez opérations arithmétiques vectorielles et ufuncs sur datasets concrets comme des séries temporelles, calculez moyennes, écarts-types en un clin d'œil, testez sur cas réels de data cleaning, et exportez résultats optimisés pour booster vos analyses quotidiennes avec efficacité et plaisir.
Target audience
Data analysts juniors, développeurs Python débutants, scientifiques des données en montée en compétences.
Prerequisites
Bases en Python : variables, listes, boucles, fonctions simples.
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