Rigorous trainer selection
Each trainer is validated on three criteria: hands-on field expertise, proven pedagogy and alignment with your industry.
- Triple validation: technical, pedagogical, sectoral.
- Minimum rating 4.8/5 over the last 12 sessions.
Trusted by — schools, companies and industrial groups
Learning objectives
- Master advanced Pandas features for professional projects
- Develop skills in handling complex data in a business context
- Design certifying and reproducible data processing pipelines
- Implement high-performance analyses with Pandas and associated tools
- Optimize data workflows for measurable productivity gains
Our social commitment
A school kit donated to a child for every training
To fight inequalities in access to education, Learni donates a complete school kit to a child in need for every training booked. You build your skills, a child heads back to school.
- Backpack, notebooks and essential supplies
- Distributed through our partner charities
- Included, at no extra cost to you
The Learni story
Founded by engineers and learning experts, Learni's mission is to make high-impact tech training accessible to teams everywhere. We work remotely with organizations across the US and Canada, in your time zone, to help teams upskill fast.
Don't let this gap widen
Why this program matters
Without this upskilling, your team accumulates a technological gap that translates directly into productivity loss.
Organizations that don't train their talents on key topics see their competitiveness drop.
Every quarter without training is a gap widening with competitors who invest.
The cost of inaction quickly exceeds that of well-targeted training.
Program
Module 1Theme: Advanced Pandas and DataFrames (indexing, merging, vectorized methods)
Participants explore advanced Pandas structures through practical exercises on real datasets. They apply multi-level indexing techniques, complex merging and vectorization to optimize performance. Concrete business cases illustrate expected deliverables such as automated cleaning scripts.
Module 2Theme: Pandas and time series analysis (resampling, time series, rolling windows)
This day focuses on processing time series with Pandas. Learners manipulate dated data, create dynamic aggregations and use rolling windows for predictive analyses. Exercises on financial or IoT data produce visual reports that can be used immediately in a professional context.
Module 3Theme: Pandas and performance (advanced groupby, categorization, memory)
Trainees optimize their Pandas code to handle large volumes of data. They master complex groupby operations, categorical type management and memory reduction strategies. Benchmarks and practical exercises on large datasets result in high-performance scripts adapted to enterprise environments.
Module 4Theme: Pandas and integration (SQL, Parquet, APIs and pipelines)
This session covers Pandas interoperability with SQL, Parquet and external APIs. Participants build complete data pipelines, automate imports/exports and integrate Pandas into ETL workflows. Professional use cases enable delivery of documented notebooks and production scripts.
Module 5Theme: Pandas and best practices (testing, documentation, deployment)
The final day focuses on quality and deployment of Pandas projects. Learners implement unit tests, document their code and prepare certifying deliverables. Practical workshops on business scenarios conclude with the presentation of robust and maintainable solutions.
Evaluation method
- Knowledge validation quizzes at the end of each day
- Final individual project with presentation to the group
- Competency certificate awarded at the end of the training
Learning method
- Practical exercises on professional datasets
- Real business case studies
- Collaborative work and personalized feedback
- Access to resources and scripts post-training
Methods, materials and delivery
The Training Pandas 2026 - Optimizing Data Analysis program is delivered onsite or remote (blended-learning, virtual classroom, remote presence). At Learni, an industry-certified training organization, every program is built to maximize skills acquisition regardless of the chosen format.
The trainer alternates between demonstrative, interrogative and active methods (through hands-on labs and/or scenarios). This pedagogical approach guarantees concrete learning that's immediately applicable at work.
Equipment required
For the smooth delivery of the Training Pandas 2026 - Optimizing Data Analysis program, the following equipment is required:
- Mac or PC computers, high-speed fiber internet, whiteboard or flipchart, projector or interactive touch screen (for remote sessions)
- Training environments installed on workstations or accessible online
- Course materials, hands-on exercises and complementary resources
- Post-training access to materials and educational resources
For intra-company training on a site outside Learni, the client commits to providing all required teaching materials (computers, internet, etc.) for the smooth delivery of the program in line with the prerequisites in the communicated program.
* contact us for remote delivery feasibility** ratio varies depending on the program
Skills assessment methods
Assessment of skills acquired during the Training Pandas 2026 - Optimizing Data Analysis program is performed through:
- During training: case studies, hands-on labs and professional scenarios
- End of training: self-assessment questionnaire and skills evaluation by the trainer
- After training: completion certificate detailing acquired skills
Program accessibility
Learni is committed to making its programs accessible. All our programs are accessible to people with disabilities. Our teams are available to adapt the pedagogical methods to your specific needs. Please contact us for any adjustment request.
Enrollment terms and lead times
Registration is possible up to 48 business hours before the start of training. All our programs are built for corporate L&D budgets and delivered onsite or remotely.
Our method
Training quality, guaranteed at every step
Before, during, after: we frame the brief, introduce the trainer, tailor the content and measure impact. You stay in control from kickoff to wrap-up.
You meet the trainer beforehand
30-minute video call between you and the selected trainer to validate the fit, adjust content and clear any final doubts.
- Live briefing on goals and team context.
- Veto right — we swap the trainer for free if needed.
Content tailored to your context
No recycled slides. The syllabus is reworked from your real cases: tools, constraints, vocabulary, ongoing projects.
- Hands-on cases drawn from your stack and projects.
- Program co-written then validated by your team.
Continuous quality follow-up
Live evaluations, 30/90/180-day check-ins and a consolidation plan. If the impact misses the mark, we rework it.
- NPS, knowledge quizzes and skills self-assessment.
- Satisfaction guarantee: fully satisfied or free rework.
A simple promise: you don't pay to discover the trainer on day one. Everything is validated upfront, by you.
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FAQ
Frequently asked questions
How much does the Training Pandas 2026 - Optimizing Data Analysis training cost?+
The individual price is $5,775, and the team / on-site price is $10,106 (USD). A detailed quote is sent within one business day.
How long is the Training Pandas 2026 - Optimizing Data Analysis training?+
The training lasts 5 journées, available live online (US time zones) or on-site at your offices.
How is this training paid for?+
Most US teams pay directly through their company (L&D or training budget). We invoice in US dollars and accept bank transfer (ACH/wire) or card, with volume pricing for teams. A purchase order is welcome.
Are there any prerequisites?+
Mastery of Python basics, knowledge of data structures and experience with Jupyter Notebook.
Is a certificate delivered at the end?+
Yes. A Learni completion certificate is issued, along with the individual evaluation report.
Does Learni provide the equipment?+
No. A computer and stable internet connection are required for the participant. Learni provides the educational platform, the trainer and all course materials.
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