Loading...
Please wait a moment
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.
Which format do you prefer?
30 free minutes with a training advisor — no commitment.
Loading available slots...
Discover the best warehouse management and logistics training options scheduled for March 2026, focusing on emerging trends like AI automation, sustainability, and supply chain resilience to boost your career.
Cybersecurity training in Sheffield in November 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.
Discover essential strategies, trends, and training programs for organizations to excel in data governance by March 2026. Stay compliant and leverage data effectively.
Don't let this gap widen
Sans expertise Pandas avancée, perdez 30% de temps en debug lent sur gros datasets, commettez erreurs merging coûtant 5000€ en décisions erronées, comme 20% CA impacté par analyses biaisées sur ventes.
Memory leaks crashent jobs ML, retardant projets de semaines.
70% data scientists galèrent sans scaling Dask, face à big data explosif.
Risquez obsolescence face concurrents optimisés, manquez promotions data lead.
Investissez 14h, évitez pertes annuelles 20k€, boostez ROI analyses x5 dès lundi.
The Formation Pandas Expert - Optimisez analyses données massives 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 Pandas Expert - Optimisez analyses données massives 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 Pandas Expert - Optimisez analyses données massives 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.
Plongez dans les index multi-niveaux, réalisez des merges complexes sur datasets réels de 1M lignes, optimisez groupby avec custom aggregations, pratiquez exercices sur ventes e-commerce pour cleaner et transformer données, produisez livrables comme rapports DataFrame prêts SQL, tout via Jupyter Notebook interactif, gagnez en vitesse et précision immédiates.
Vectorisez opérations pour accélérer 10x traitements, gérez mémoire sur datasets 10Go via chunking, intégrez Dask pour scaling distribué, construisez pipelines automatisés sur cas Kaggle réels, testez performances avant/après, exportez modèles optimisés en Pickle, repartez avec toolbox experte pour projets big data quotidiens.
Target audience
Data scientists, data analysts, ingénieurs ML en montée en compétences Pandas.
Prerequisites
Maîtrise Python avancée, Pandas intermédiaire (DataFrames, Series), NumPy bases.
Loading...
Please wait a moment





























