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Training Matplotlib Expert - Create pro 3D/animated visuals

Ref: QUC915
10 people max.
4200 € HT / per person
−15% from 2 people−30% from 3 people−50% from 5 people
Pay in 3 installments · +$170/day onsite · +$500 with certification exam
4 journées
distanciel

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Learning objectives

  • Master advanced customizations of 2D/3D charts
  • Create dynamic animations and interactive visualizations
  • Optimize performance for massive datasets >1M points
  • Integrate Matplotlib with Seaborn, Plotly, and Bokeh
  • Produce high-quality PDF/SVG exportable deliverables
  • Automate complex dashboards via Python scripts
  • Debug and profile visualizations for 50% speed gains

The Learni story

Founded by passionate learning and innovation experts, Learni's mission is to make professional training accessible to everyone, anywhere in the world. Our team operates in major hubs — London, New York, Boston — and internationally, to support talents and organizations in upskilling.

Don't let this gap widen

Why this program matters

  • Without advanced Matplotlib expertise, your visualizations stay basic, wasting 40% of time on debugging and useless iterations, like 70% of data teams struggling with datasets >500k points.

  • Risk erroneous interpretations costing 15-25k€ per poorly visualized project, reports rejected by management (CNIL 2023 stats), outpaced by fluid competitor teams.

  • Lose 2x more in data production, with 3D/animation bugs blocking critical insights.

  • Invest 28h to multiply productivity x5, avoid 80% common errors, and boost data ROI to 300%.

Fouzi Benzidane
Fouzi Benzidane

Learni Trainer · Expert

73%productivity gap
×3cost of inaction

Program

Module 1Advanced Customization: styles, axes, and multiple subplots (Matplotlib backend)

Dive into expert tips for customizing plots, manipulate twin axes and gridspec for pro layouts, complete exercises on real sales datasets, create 10 synchronized subplots with shared zoom, export in high resolution, gain fluidity and impact your data reports from day one.

Module 23D Visualizations and Contours: mplot3d, projections (surf, quiver tools)

Explore the mplot3d module for interactive 3D surfaces, code wireframes and volumetric heatmaps on IoT data, practice real-world physical modeling cases, optimize rotating views and dynamic legends, produce deliverables ready for scientific publications, transform data into irresistible immersive visuals.

Module 3Animations and Interactivity: FuncAnimation, sliders (advanced widgets)

Animate time series with blitting for 60 FPS, integrate sliders and buttons via matplotlib.widgets, test on real financial logs, create evolving timelines and animated heatmaps, save as pro GIF/MP4, master these tools for captivating dashboards that impress stakeholders.

Module 4Optimization and Integrations: profiling, Seaborn/Plotly hybrids (final deliverables)

Profile with line_profiler to speed up plots x10 on big data, hybridize with Pandas styling and Bokeh JS, develop final project on massive Kaggle dataset, automate batch PDF/SVG exports, debug common pitfalls, leave with a pro portfolio and production-ready scripts.

Evaluation method

  • Daily technical quizzes, graded final project, skills self-assessment before/after.

Learning method

  • 70% hands-on with real cases, 30% advanced theory, individualized exercises.

Methods, materials and delivery

The Training Matplotlib Expert - Create pro 3D/animated visuals program is delivered onsite or remote (blended-learning, e-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 Matplotlib Expert - Create pro 3D/animated visuals 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 Matplotlib Expert - Create pro 3D/animated visuals 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

Learni programs are available inter-company and intra-company, onsite or remote. Enrollments are possible up to 48 business hours before the program starts. Our programs are eligible for corporate funding paths. Contact us to discuss your training project and funding options.

Verified reviews

What our learners

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Léo BlanchardFormation AWS — DevOps Engineer Professional
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« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
Read all reviews
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.

Step 1

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.
Step 2

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.
Step 3

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.
Step 4

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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