Is the training Qualiopi certified?

Yes, Learni is a Qualiopi-certified training organization. This certification guarantees the quality of our courses and enables funding through OPCO and other mechanisms.

How can I fund my training?

Our courses are eligible for OPCO funding. Learni supports you through the funding process. A personalized quote is available upon request.

What are the prerequisites for this training?

The prerequisites for the Training Matplotlib Expert - Create Advanced Visualizations in 5 Days training are: Advanced proficiency in Python, Pandas, NumPy, and basic Matplotlib.. A preliminary interview validates your eligibility.

Is the training available in person?

Yes, the Training Matplotlib Expert - Create Advanced Visualizations in 5 Days training is available in in-person. The format can be adapted to your needs (inter, intra, custom).

Training Matplotlib Expert - Create Advanced Vis... | Learni

The story of Learni

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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Methods, approaches, and teaching resources

The Training Matplotlib Expert - Create Advanced Visualizations in 5 Days 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.

Teaching resources provided

To ensure the quality of the Training Matplotlib Expert - Create Advanced Visualizations in 5 Days training, Learni provides the following teaching resources:

Mac or PC computers, high-speed fiber internet, whiteboard or flipchart, video projector or interactive touchscreen (for remote sessions)
Training environments installed on workstations or accessible online
Course materials, practical exercises, and supplementary resources
Post-training access to materials and 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.

* contact us for remote feasibility** ratio varies depending on the training followed

Assessment methods

The assessment of skills acquired during the Training Matplotlib Expert - Create Advanced Visualizations in 5 Days training is carried out through:

During training: case studies, practical exercises, and professional scenarios
At the end of training: self-assessment questionnaire and skills evaluation by the trainer
After training: training completion certificate detailing acquired skills

Training accessibility

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.

Training program

Module 1Expert Matplotlib Foundations: Advanced Subplots and Styles

Dive into multiple axes, customize themes with rcParams, manipulate dynamic legends through exercises on real datasets, create heatmaps and violin plots by chaining code and live visualizations, produce your first deliverables ready for professional reports, all to boost your productivity from day 1.

Module 2Complex Matplotlib Charts: 3D and Projections

Explore 3D surfaces, volumetric scatter plots, use mplot3d to model spatial data, apply affine transformations on concrete cases like IoT sensor analysis, generate interactive rotating views, export to vector formats, experience the power of immersive visualizations that reveal hidden patterns.

Module 3Matplotlib Animations: Bring Your Data to Life

Build smooth animations with FuncAnimation, simulate temporal evolutions on time series, integrate callbacks for user interactions, test on real financial datasets, optimize frame rates for exportable videos, transform static stats into captivating visual stories that impress stakeholders.

Module 4Expert Matplotlib Optimizations and Integrations

Accelerate renders for millions of points using Agg backends, merge with Pandas for automated pipelines, hybridize with Seaborn for advanced stats, code custom widgets on e-commerce projects, measure live performance gains, master high-resolution exports for scientific publications.

Module 5Real-World Matplotlib Projects: Dashboards and Automation

Develop a complete multi-view dashboard on big data, automate via CLI scripts, integrate with Jupyter for interactive demos, present and critique your final deliverables in a group, apply advanced debugging on real bugs, leave with a professional portfolio and reusable templates to dominate your data viz challenges.