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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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No-Code / Low-Code training in Leeds 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.
Artificial Intelligence training in Cardiff in May 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Cybersecurity training in Sheffield in November 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Don't let this gap widen
Without this training, your Pandas analyses remain slow: 30% time lost on poorly optimized DataFrames, merge errors cost 15k€ per delayed project, massive datasets crash your scripts (loss of 2 days/week), competition surpasses with scalable pipelines, salaries stagnate compared to expert data scientists (gap 20k€/year), missed ML opportunities due to lack of data performance.
Invest 28 hours to multiply productivity x5, avoid 50k€ annual losses.
The Advanced Pandas Training - Optimize Your Analyses of Massive 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 Advanced Pandas Training - Optimize Your Analyses of Massive 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 Advanced Pandas Training - Optimize Your Analyses of Massive 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.
Dive into multi-level indexes and vectorized operations, manipulate massive DataFrames through practical exercises on real sales datasets, test performance with %timeit, produce optimized reports ready for production, gain speed and precision from day one.
Explore multi-criteria groupby and custom functions, apply them to real cases like web log analysis, create dynamic pivots with interactive exercises, generate actionable insights via window functions, transform raw data into impactful dashboards.
Master multi-source and hierarchical joins on real customer datasets, practice hourly/daily resampling with exercises on IoT sensor data, handle temporal gaps, produce basic forecasts, integrate seamlessly into your daily data stack.
Optimize for scalability with chunked reading and Dask on simulated terabytes, integrate with Seaborn for advanced visualizations via final projects, test live gains (x10 speed), leave with production-ready scripts and a personalized implementation plan.
Target audience
Data scientists, data analysts, data engineers upskilling on Pandas.
Prerequisites
Intermediate Python proficiency, Pandas basics (DataFrames, Series), NumPy fundamentals.
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