Training: Mastering Matplotlib: Data Visualization with Python

On quote$3,465

  • 3 days
  • Onsite
  • 8 people max.
Ref: DLX560
8 people max.
On quote$3,465
In-company rate: on quotefrom $6,290 for the whole team
On-site and certification exam on quote
3 days
Onsite

Don't let this gap widen

Why this program matters

  • Without mastery of Matplotlib, your Python data visualizations remain primitive and low-impact, hiding crucial insights.

  • Data analysts lose an average of 12 hours per week on ineffective charts, equaling 25% lost productivity and 5 000 € in hidden costs per month from project delays.

  • 60% of corporate decision errors stem from flawed visualizations, threatening competitiveness and exposing companies to market share losses.

  • Every quarter without advanced expertise risks blocking your career progression against agile competitors.

Allan BUSI, Learni trainer · AI expert
Allan BUSI

Learni trainer · AI expert

73%productivity gap
×3cost of inaction
Flag of the United StatesBuilt for US teams
Payment by wire transferEnhanced confidentialityPerfect for companies with 50 to 500 employeesScheduling to fit any time zone

Trusted by — schools, companies and industrial groups

25,718 programs · 25 countries

  • Aptar
  • ArcelorMittal
  • Equans
  • EDF
  • Ubisoft
  • Microsoft

Every program built with a dedicated engineer

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Companies: Aptar, ArcelorMittal, Equans, EDF, Ubisoft and Microsoft.

Learning objectives

  • Understand the fundamentals of data visualization
  • Discover all Matplotlib features for professional charts
  • Customize visualizations according to specific business needs
  • Integrate Matplotlib with Pandas and NumPy
  • Create interpretable and impactful visualizations for decision-making

Program

Module 1Introduction to Matplotlib and Data Visualization

Presentation of visualization challenges, history, and positioning of Matplotlib. Hands-on installation and first simple plots: curves, scatter plots, bars. Understanding the structure of a figure, axes, subplots. Exercises on creating basic charts from synthetic and real data.

Module 2Advanced Chart Customization

Management of graphical properties: titles, axes, legends, annotations, and styles. Colors, line and point styles, custom palettes. In-depth work on labels, ticks, scale management (logarithmic, linear). Layout of visualizations and subplot management. Practical exercises on business datasets.

Module 3Specialized Visualizations and Business Applications

Creating advanced visualizations: histograms, heatmaps, 3D charts, density curves, box plots, and interactive charts. Exporting charts for reports (PDF, PNG, SVG). Integration with Pandas to visualize DataFrames, automation, and production scripts. Final workshop: design an interpretable visualization dashboard from a complex dataset.

Evaluation method

  • Completion of a data visualization project at the end of the training
  • Continuous evaluation through exercises and case studies per module

Learning method

  • Theoretical presentations illustrated with concrete cases
  • Live coding demos
  • Progressive exercises and mini-projects
  • Complete pedagogical support provided (scripts, Jupyter notebooks, online resources)

Methods, materials and delivery

The Training: Mastering Matplotlib: Data Visualization with Python 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: Mastering Matplotlib: Data Visualization with Python 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: Mastering Matplotlib: Data Visualization with Python 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.

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.

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.

A child walking to school with a backpack
Our social commitment

A school kit donated to a child for every training booked

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
Enroll and offer a kit
FAQ

Frequently asked questions

What can participants do after Training: Mastering Matplotlib: Data Visualization with Python training?+
They can understand the fundamentals of data visualization, discover all Matplotlib features for professional charts and customize visualizations according to specific business needs. Those are the stated objectives of the Training: Mastering Matplotlib: Data Visualization with Python program at Intermediate level, checked by the end-of-session assessment.
What does the Training: Mastering Matplotlib: Data Visualization with Python program cover, day by day?+
Day 1: Introduction to Matplotlib and Data Visualization. Day 2: Advanced Chart Customization. Day 3: Specialized Visualizations and Business Applications. The Training: Mastering Matplotlib: Data Visualization with Python program runs over 3 days, delivered on site.
How is Training: Mastering Matplotlib: Data Visualization with Python training assessed?+
Assessment relies on completion of a data visualization project at the end of the training and continuous evaluation through exercises and case studies per module. Learni issues a completion certificate together with the individual assessment report at the end of the Training: Mastering Matplotlib: Data Visualization with Python program, which an L&D team can file as evidence.
How much does Training: Mastering Matplotlib: Data Visualization with Python training cost per participant?+
Training: Mastering Matplotlib: Data Visualization with Python training is priced on quote. The amount depends on headcount, format and how far the syllabus is tailored to your team. A detailed quote is sent within one business day, and team pricing covers the whole group from the second participant.
How long does Training: Mastering Matplotlib: Data Visualization with Python training take?+
3 days, available live online (US time zones) or on-site at your offices. Half-day tracks spread over several weeks are possible so the team stays operational.
Who pays for Training: Mastering Matplotlib: Data Visualization with Python training?+
Most US teams pay directly through their company L&D or training budget. Learni invoices in US dollars and accepts bank transfer (ACH/wire) or card, with volume pricing for teams. A purchase order is welcome.
What do participants need to know before Training: Mastering Matplotlib: Data Visualization with Python training?+
Mastery of Python basics and basic knowledge of data manipulation (Pandas recommended).
Is a certificate issued after Training: Mastering Matplotlib: Data Visualization with Python training?+
Yes. A Learni completion certificate is issued, along with the individual evaluation report. Learni is a certified training provider and prepares for third-party certifications, but does not award them itself.
Does Learni provide the equipment for Training: Mastering Matplotlib: Data Visualization with Python training?+
No. A computer and a stable internet connection are required for each participant. Learni provides the learning platform, the trainer and all course materials.
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