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.
Training Data Quality - Ensuring the reliability of enterprise data
Specialist course · Minimum level required
Trusted by — schools, companies and industrial groups
41,115 programs · 25 countries
Every program built with a dedicated engineer
Companies: Aptar, ArcelorMittal, Equans, EDF, Ubisoft, Microsoft and Atos.
Data Quality training objectives
- Master advanced Data Quality profiling and cleaning techniques for professional projects
- Develop automated data validation pipelines in the enterprise
- Implement real-time monitoring of certifying Data Quality metrics
- Design governance rules tailored to strategic data competencies
- Optimize data quality with cloud and open-source tools
- Deploy scalable Data Quality solutions for predictive analytics
Program
Data Quality curriculum: 3 modules over 3 days
Module 1 : Data Quality Diagnosis: Assess data maturity (profiling, audits, tool benchmarks)
Immediate immersion in full audit of your datasets using tools like Great Expectations and Talend Data Catalog, automated profiling to detect duplicates, inconsistencies, and statistical anomalies, practical exercises on real enterprise cases with DQ score calculation, development of an actionable diagnostic report and prioritized remediation plan, while integrating sectoral benchmarks to measure immediate business impact.
Module 2 : Data Quality Pipelines: Automate cleaning and validation (advanced ETL, business rules)
Design and implementation of robust pipelines with Apache Airflow and dbt for automated cleaning, definition of complex validation rules based on JSON schemas and advanced regex, unit tests on massive data flows, simulation of real errors to strengthen resilience, production of interactive dashboards with Tableau Prep to visualize compliance, and generation of production-ready deliverables for enterprise certification.
Module 3 : Data Quality Governance: Monitoring and optimization (cloud, ML, KPI metrics)
Deployment of real-time monitoring systems via AWS Glue and Databricks with proactive alerts on DQ drifts, integration of ML for predictive anomaly detection on large datasets, performance optimization with intelligent partitioning and indexing, case study on multi-source governance for reliable AI, development of Data Quality KPIs aligned with business objectives, and finalization of a scalable framework with complete documentation for professional production deployment.
How Data Quality skills are assessed
- Advanced MCQ to validate Data Quality knowledge at the end of the training
- Evaluation through practical projects and real enterprise cases
- Defense of the ongoing Data Quality pipeline project before the expert trainer
How the Data Quality course is taught
- Sessions led by certified trainers active in data engineering
- Hands-on exercises on enterprise-grade datasets and professional tools
- Progressive Data Quality ongoing project over 3 days
- Digital pedagogical support and unlimited post-training resources
Data Quality training: access and practical arrangements
The Training Data Quality - Ensuring the reliability of enterprise 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 - Ensuring the reliability of enterprise 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 - Ensuring the reliability of enterprise 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.
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.
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.
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.
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
FAQ
Data Quality: frequently asked questions
Which tools are used in Data Quality training?+
Hands-on work runs on profiling, audits, tool benchmarks, advanced ETL, business rules and cloud. Those tools come from the Data Quality program itself, delivered on site over 3 days, so participants practise on the stack they will use at work.
What can participants do after Data Quality training?+
They can master advanced Data Quality profiling and cleaning techniques for professional projects, develop automated data validation pipelines in the enterprise and implement real-time monitoring of certifying Data Quality metrics. Those are the stated objectives of the Data Quality program at Advanced level, checked by the end-of-session assessment.
What does the Data Quality program cover, day by day?+
Day 1: Data Quality Diagnosis: Assess data maturity (profiling, audits, tool benchmarks). Day 2: Data Quality Pipelines: Automate cleaning and validation (advanced ETL, business rules). Day 3: Data Quality Governance: Monitoring and optimization (cloud, ML, KPI metrics). The Data Quality program runs over 3 days, delivered on site.
How is Data Quality training assessed?+
Assessment relies on advanced MCQ to validate Data Quality knowledge at the end of the training, evaluation through practical projects and real enterprise cases and defense of the ongoing Data Quality pipeline project before the expert trainer. Learni issues a completion certificate together with the individual assessment report at the end of the Data Quality program, which an L&D team can file as evidence.
How much does Data Quality training cost per participant?+
Data Quality training costs $3,465 per participant. For an in-company team, the flat rate starts at $6,290 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 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 Data Quality 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 training?+
Advanced SQL experience, ETL, Python for data processing and data quality fundamentals.
Is a certificate issued after Data Quality 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 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.
Your professional training, anywhere
Let's build your Data Quality learning path.
30 minutes with a learning advisor. No commitment. No sales pitch dressed up as a demo.
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