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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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Don't let this gap widen
Sans maîtrise avancée de Pandas, les data teams perdent 50% de temps sur nettoyage et transformation, multipliant les délais projets par deux.
Les erreurs d'analyse non optimisée coûtent en moyenne 25 000€ par incident business, avec 40% des rapports data inexacts dus à des groupby mal gérés.
En 2026, 82% des offres data science exigent Pandas expert, écartant les profils juniors et freinant reconversions.
Les entreprises sans compétences Pandas subissent 35% de pertes compétitives sur insights clients, retardant croissance et innovation stratégique face à des concurrents agiles.
The Formation Pandas - Maîtriser l'analyse de données avancées 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 - Maîtriser l'analyse de données avancées 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 - Maîtriser l'analyse de données avancées 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.
Découvrez la création et manipulation experte de DataFrames et Series Pandas sur datasets réels d'entreprise, explorez méthodes head, tail, describe, info pour profiling rapide, pratiquez indexation hiérarchique, slicing conditionnel et tri optimisé, réalisez exercices concrets avec génération de rapports préliminaires, appliquez tout sur un cas business pour visualiser gains immédiats en productivité analytique.
Plongez dans le nettoyage avancé de données avec fillna, dropna, interpolation sur volumes massifs, transformez via applymap, map et vectorisation pour accélérer traitements, maîtrisez merge, join, concat pour fusionner sources hétérogènes, exploitez groupby agg transform pour agrégations complexes, testez sur projets entreprise réels avec production de datasets propres prêts pour modélisation, mesurez impacts sur temps d'analyse réduit de moitié.
Optimisez Pandas pour big data via chunking, categorical dtypes et engines rapides comme Modin, concevez pipelines end-to-end avec pipe et custom functions, intégrez visualisations natives plot ou via Matplotlib Seaborn pour dashboards interactifs, déployez scripts automatisés sur cas concrets d'entreprise, évaluez scalabilité avec timeit et profiling, produisez livrables déployables en production pour booster décisions data-driven certifiantes.
Target audience
Data analysts, data scientists, développeurs Python en entreprise pour une montée en compétences professionnelle
Prerequisites
Maîtrise de Python ES6+, bases en manipulation de données et NumPy
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