Training Data Mining 2026 - Extracting Data for Engineers

$5,775

  • 5 days
  • Onsite
  • 10 people max.
Ref: HIC249
10 people max.
$5,775
In-company rate: from $10,395 for the whole team
On-site and certification exam on quote
5 days
Onsite

Don't let this gap widen

Why this program matters

  • Without mastering data mining, engineers struggle to extract value from the data their company has accumulated.

  • Decisions stay driven by intuition instead of solid analysis, producing missed opportunities and weaker competitiveness.

  • On the career side, this blocks advancement into strategic roles and leaves engineers at risk of falling behind colleagues trained in modern analysis methods.

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

40,860 programs · 25 countries

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

Every program built with a dedicated engineer

  • OpenAI
  • Anthropic
  • Mistral AI
  • NVIDIA
  • Google
  • Amazon Web Services
  • Microsoft Dynamics 365
  • Salesforce
  • ServiceNow
  • SAP
  • Oracle
  • Cisco
  • Fortinet
  • Palo Alto Networks
  • Aruba
  • VMware
  • Red Hat
  • Databricks
  • Snowflake
  • OVHcloud
  • Notion
  • AMD
  • Apple

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

Data Mining training objectives

  • Master data mining through certified professional training for company engineers
  • Develop solid skills in data extraction and cleaning
  • Design predictive models tailored to business projects
  • Implement simple machine learning algorithms
  • Optimize analysis processes for concrete business results

Data Mining curriculum: 5 modules over 5 days

Module 1 : Topic: Introduction to data mining and data preparation (Python, Pandas)

Participants discover the fundamentals of data mining through concrete business cases. They learn to import, explore, and clean datasets using Python and Pandas. Practical exercises on real data help understand data quality and initial transformations. Deliverables: preparation notebook and initial exploration report.

Module 2 : Topic: Descriptive statistics and visualization for data mining (Matplotlib, Seaborn)

This day deepens statistical analysis and data visualization. Engineers use tools to identify trends and anomalies. Workshops on industrial datasets demonstrate how to interpret distributions and correlations. Deliverables: visual dashboards and business insights summary.

Module 3 : Topic: Classification and regression algorithms in data mining (Scikit-learn)

Focus on initial supervised algorithms applied to data mining. Participants train and evaluate classification and regression models. Practical business cases illustrate feature selection and cross-validation. Deliverables: trained models and performance metrics.

Module 4 : Topic: Clustering and dimensionality reduction for data mining (K-means, PCA)

Exploration of unsupervised methods to segment data and reduce complexity. Exercises on company data enable discovery of hidden groups. Engineers compare multiple approaches and interpret results. Deliverables: identified clusters and visual projections.

Module 5 : Topic: Complete data mining project and deployment (Pipeline, reporting)

Synthesis day featuring a capstone project integrating all acquired skills. Participants build a complete data mining pipeline and produce a professional report. Personalized feedback and final presentation reinforce immediate application in the workplace. Deliverables: final project and technical documentation.

How Data Mining skills are assessed

  • Daily quizzes on key concepts
  • Final project assessed by the trainer
  • Self-assessment of learning outcomes at the end of the training

How the Data Mining course is taught

  • Live demonstrations
  • Practical exercises on real-world cases
  • Collaborative work in small groups
  • Individualized feedback

Data Mining training: access and practical arrangements

The Training Data Mining 2026 - Extracting Data for Engineers 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 Data Mining 2026 - Extracting Data for Engineers 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 Data Mining 2026 - Extracting Data for Engineers 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

How Learni guarantees the quality of your Data Mining training

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

Data Mining: frequently asked questions

Which tools are used in Data Mining 2026 training?+
Hands-on work runs on python, pandas, matplotlib, seaborn, scikit-learn and k-means. Those tools come from the Data Mining 2026 program itself, delivered on site over 5 days, so participants practise on the stack they will use at work.
What can participants do after Data Mining 2026 training?+
They can master data mining through certified professional training for company engineers, develop solid skills in data extraction and cleaning and design predictive models tailored to business projects. Those are the stated objectives of the Data Mining 2026 program at Beginner level, checked by the end-of-session assessment.
What does the Data Mining 2026 program cover, day by day?+
Day 1: Topic: Introduction to data mining and data preparation (Python, Pandas). Day 2: Topic: Descriptive statistics and visualization for data mining (Matplotlib, Seaborn). Day 3: Topic: Classification and regression algorithms in data mining (Scikit-learn). Day 4: Topic: Clustering and dimensionality reduction for data mining (K-means, PCA). Day 5: Topic: Complete data mining project and deployment (Pipeline, reporting). The Data Mining 2026 program runs over 5 days, delivered on site.
How is Data Mining 2026 training assessed?+
Assessment relies on daily quizzes on key concepts, final project assessed by the trainer and self-assessment of learning outcomes at the end of the training. Learni issues a completion certificate together with the individual assessment report at the end of the Data Mining 2026 program, which an L&D team can file as evidence.
How much does Data Mining 2026 training cost per participant?+
Data Mining 2026 training costs $5,775 per participant. For an in-company team, the flat rate starts at $10,395 for the whole group, up to 8 people. The detailed quote, sent within one business day, adjusts the amount to the format and how far the syllabus is tailored to your team.
How long does Data Mining 2026 training take?+
5 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 Data Mining 2026 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 Data Mining 2026 training?+
Basic programming knowledge and elementary statistical concepts.
Is a certificate issued after Data Mining 2026 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 Data Mining 2026 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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