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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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Cybersecurity training in Sheffield in November 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Artificial Intelligence training in San Francisco 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.
Professional Training training in New York in September 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Don't let this gap widen
Without intermediate Pandas skills, you lose 4h per analysis on inefficient code, make 25% errors in poorly managed joins, process only 50% of the data volumes expected by your managers, miss crucial insights that could double your KPIs, suffer project delays impacting 30% of your monthly workload, and let data-driven competitors surpass you in execution speed, risking career stagnation and financial losses estimated at 5000€/year in wasted productivity.
The Training Pandas - Master DataFrames and Advanced Analyses 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 Pandas - Master DataFrames and Advanced Analyses 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 Pandas - Master DataFrames and Advanced Analyses 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.
Dive into Pandas with practical exercises on real e-commerce datasets, manipulate multi-index to structure your complex data, perform merge and concat joins to fuse multiple sources, master groupby with custom aggregations and dynamic pivots, optimize slow code via vectorization and clever apply, integrate quick visualizations with matplotlib, end with a deliverable project of automated analysis that boosts your productivity from tomorrow.
Target audience
Data analysts, data scientists, Python developers seeking to upskill in data manipulation.
Prerequisites
Mastery of basic Python, elementary use of Pandas (DataFrames, Series), comfort with Jupyter Notebook.
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