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Training Data Quality - Guaranteeing Data Reliability in 2026

Ref: ZUI471
10 people max.
From $5,145 HT / per person
Pay in 3 installments · On-site on request · +$540 with certification exam
4 days
Remote

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Learning objectives

  • Master advanced profiling techniques to assess data quality in the enterprise
  • Develop automated certifying data validation pipelines
  • Implement complex business rules for professional data governance
  • Optimize anomaly detection with AI for expert data quality skills
  • Design scalable remediation strategies in production contexts
  • Deploy open-source data quality frameworks in cloud environments
  • Evaluate the business impact of data quality for certifying projects

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.

Nawfel ABED
Nawfel ABED

Learni trainer · Cybersecurity expert

73%productivity gap
×3cost of inaction

Program

Module 1Data Quality Profiling: Assess Completeness, Accuracy, and Compliance (Great Expectations, SQL Profiling)

Immersion in in-depth analysis of real enterprise datasets, use of tools like Great Expectations to profile completeness, uniqueness, and validity, practical exercises on degraded data warehouse cases, automatic identification of error patterns via custom Python scripts, production of a data quality diagnostic report ready for stakeholders, with focus on key metrics for rapid decision-making.

Module 2Business Rules for Data Quality: Implement Automated Validations (Talend DQ, Custom Rules)

Design and deployment of advanced business rules tailored to your sector, hands-on with Talend Data Quality to validate formats, ranges, and inter-table consistency, collaborative workshops on real ETL flows, automation of checks via CI/CD pipelines with Soda or Deequ, tests on massive cloud data volumes, generation of interactive dashboards to monitor data quality in real time, directly enhancing operational efficiency.

Module 3Anomalies and Data Quality Remediation: AI and Machine Learning (Isolation Forest, Autoencoders)

Exploration of AI algorithms to detect outliers and drifts in datasets, practical implementation of Isolation Forest and autoencoders in Python with scikit-learn and TensorFlow, concrete cases on enterprise transactional logs, simulation of data quality degradation scenarios, development of automated remediation plans including data cleansing and enrichment, ROI evaluation via before/after metrics, turning risks into business opportunities.

Module 4Data Quality Governance: Scalable Deployment 2026 (Data Mesh, Collibra Integration)

Advanced strategies for sustainable data quality governance in 2026, integration with Data Mesh and tools like Collibra for cataloging and stewardship, exercises on AWS/GCP cloud architectures, setup of continuous monitoring with proactive alerts, final audit of a complete ongoing project, definition of data quality KPIs aligned with enterprise objectives, delivery of a personalized playbook for immediate deployment, ensuring certifying data maturity.

Evaluation method

  • Advanced multiple-choice quiz on data quality metrics and tools
  • Evaluation through an ongoing project with complete remediation
  • Oral defense of deployed governance strategies

Learning method

  • Sessions led by operational data quality experts
  • Hands-on exercises on authentic enterprise datasets
  • Evolving ongoing project over 4 days with continuous feedback
  • Comprehensive pedagogical materials and open-source resources

Methods, materials and delivery

The Training Data Quality - Guaranteeing Data Reliability in 2026 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 Quality - Guaranteeing Data Reliability in 2026 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 Quality - Guaranteeing Data Reliability in 2026 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.

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.

FAQ

Frequently asked questions

How much does the Training Data Quality - Guaranteeing Data Reliability in 2026 training cost?+
The individual price is $5,145 (USD). A detailed quote is sent within one business day.
How long is the Training Data Quality - Guaranteeing Data Reliability in 2026 training?+
The training lasts 4 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?+
Advanced SQL mastery, Python for data processing, experience in data pipelines and ETL
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.
On-site & remote

This training across cities

Available on-site and remotely. Pick your city to see the local training center.

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