Training Data Quality 2026 - Optimizing the Reliability of Critical Data

$5,775

  • 5 days
  • Onsite
  • 10 people max.
Ref: SWZ547
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

  • 80% of companies lose more than 12 million euros annually from poor data quality, according to Gartner 2023, resulting in flawed decisions and massive customer losses.

  • Without Data Quality 2026 mastery, your pipelines saturate under load, causing critical downtimes and RGPD fines up to 4% CA.

  • Careers stagnate against certified data engineers while companies risk obsolescence to optimized competitors.

  • Invest now to secure your data reliability and drive performance.

Alicia DIOH, Managing Director · Finance, AI & Management trainer
Alicia DIOH

Managing Director · Finance, AI & Management trainer

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

41,114 programs · 25 countries

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

Every program built with a dedicated engineer

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  • Snowflake
  • OVHcloud
  • Notion
  • AMD
  • Apple

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

Data Quality training objectives

  • Master the Data Quality 2026 standards to certify skills in the company.
  • Develop automated validation pipelines in professional training.
  • Optimize anomaly detection with advanced tools for data performance.
  • Implement business rules compliant with 2026 standards in a professional context.
  • Evaluate and correct the quality of massive data for efficiency gains.
  • Design Data Quality monitoring dashboards for reliable decisions.
  • Acquire certifying skills in data optimization for the company.

Program

Data Quality curriculum: 5 modules over 5 days

Module 1 : Data Quality 2026 Fundamentals: Profiling and Metrics (Talend, Great Expectations tools)

Discover the Data Quality 2026 principles through practical exercises on real datasets, automated profiling with Talend to identify duplicates and inconsistencies, calculation of metrics such as completeness and accuracy, collaborative workshops in remote format to validate schemas, deliverables include ready-to-production profiling reports, strengthening professional certifying skills.

Module 2 : Data Quality 2026 Validation and Cleaning: Automated Rules (Python Pandas, Advanced SQL)

Dive into Python scripts to validate 2026 compliance, interactive cleaning of dirty data with Pandas and regex, unit tests on ETL pipelines, real business cases of companies losing millions due to data errors, pair exercises to correct biases, generation of detailed logs, all in a smooth remote format, boosting expertise in performance optimization.

Module 3 : Data Quality 2026 Anomalies and Monitoring: Real-Time Detection (Apache NiFi, ELK Stack)

Set up real-time alerts with NiFi for critical data streams, implement basic ML via ELK for spotting outliers, load testing simulations on massive volumes, practical workshops on e-commerce datasets, creation of personalized Kibana dashboards, business impact analysis, ideal for certifying skills in the company, interactive remote session.

Module 4 : Data Quality 2026 Governance: Cache and Optimization (Redis, Governance Frameworks)

Master Redis cache to accelerate data quality queries, deploy frameworks like Collibra adapted to 2026, workshops on business policies and audits, web performance optimization via clean data, Fortune 500 case studies, automated scripts for cache refresh, deliverables include governance plans, ideal professional training for data DevOps.

Module 5 : Data Quality 2026 Deployment and Certification: Integrated Projects (CI/CD, Final Certification)

Integrate everything via capstone project in CI/CD GitHub Actions, deploy Data Quality 2026 pipelines in AWS cloud, peer review for robustness, certification evaluation with MCQ and real case, final optimization for scalability, post-training resource access, conclude with skills ready for the company, in highly effective remote format.

How Data Quality skills are assessed

  • Daily interactive quizzes on remote platforms.
  • Real case studies with personalized feedback.
  • Final certifying project evaluated by Qualiopi experts.

How the Data Quality course is taught

  • 70% hands-on practice with real tools and live datasets.
  • 30% theory adapted to 2026 standards.
  • Collaborative exercises in small groups.
  • Unlimited post-training support for 6 months.

Data Quality training: access and practical arrangements

The Training Data Quality 2026 - Optimizing the Reliability of Critical Data 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 2026 - Optimizing the Reliability of Critical Data 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 2026 - Optimizing the Reliability of Critical Data 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 Quality 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 Quality: frequently asked questions

Which tools are used in Data Quality 2026 training?+
Hands-on work runs on talend, great Expectations tools, python Pandas, advanced SQL, apache NiFi and ELK Stack. Those tools come from the Data Quality 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 Quality 2026 training?+
They can master the Data Quality 2026 standards to certify skills in the company, develop automated validation pipelines in professional training and optimize anomaly detection with advanced tools for data performance. Those are the stated objectives of the Data Quality 2026 program at Intermediate level, checked by the end-of-session assessment.
What does the Data Quality 2026 program cover, day by day?+
Day 1: Data Quality 2026 Fundamentals: Profiling and Metrics (Talend, Great Expectations tools). Day 2: Data Quality 2026 Validation and Cleaning: Automated Rules (Python Pandas, Advanced SQL). Day 3: Data Quality 2026 Anomalies and Monitoring: Real-Time Detection (Apache NiFi, ELK Stack). Day 4: Data Quality 2026 Governance: Cache and Optimization (Redis, Governance Frameworks). Day 5: Data Quality 2026 Deployment and Certification: Integrated Projects (CI/CD, Final Certification). The Data Quality 2026 program runs over 5 days, delivered on site.
How is Data Quality 2026 training assessed?+
Assessment relies on daily interactive quizzes on remote platforms, real case studies with personalized feedback and final certifying project evaluated by Qualiopi experts. Learni issues a completion certificate together with the individual assessment report at the end of the Data Quality 2026 program, which an L&D team can file as evidence.
How much does Data Quality 2026 training cost per participant?+
Data Quality 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 Quality 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 Quality 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 Quality 2026 training?+
Solid knowledge in SQL, experience in ETL or dataset manipulation, basics in data governance.
Is a certificate issued after Data Quality 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 Quality 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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