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Training Data Quality - Mastering Data Reliability in Research

Ref: ABL707
10 people max.
From $2,310 HT / per person
On-site on request · +$540 with certification exam
2 days
Remote

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Learning objectives

  • Master advanced profiling techniques to assess data quality in a professional context.
  • Develop skills in detecting and correcting anomalies in research datasets.
  • Implement automated validation rules tailored to business needs.
  • Design certifying data quality pipelines to ensure the reliability of scientific analyses.
  • Optimize data governance processes within multidisciplinary teams.
  • Evaluate the impact of data quality on the performance of research and business models.
A child walking to school with a backpack
Our social commitment

A school kit donated to a child for every training

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

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.

Allan BUSI
Allan BUSI

Learni trainer · AI expert

73%productivity gap
×3cost of inaction

Program

Module 1Data Quality: Diagnosis and Profiling (SQL Tools, Python Pandas, Statistical Methods)

Discover essential methods to profile your datasets using advanced SQL and Pandas, analyze completeness, accuracy, and consistency of data via optimized queries and interactive visualizations with Matplotlib, perform practical exercises on real scientific research cases, identify duplicates and outliers with automated scripts, produce a complete diagnostic report as a deliverable, integrate statistical techniques to quantify quality risks, and prepare the ground for Day 2 corrections in an immersive learning environment.

Module 2Data Quality: Correction, Validation, and Governance (Business Rules, ETL Pipelines, Monitoring)

Take action by implementing ETL pipelines to correct detected anomalies, configure business validation rules via Great Expectations and custom Python scripts, test on large datasets from research, develop a continuous monitoring system to alert on quality drifts, apply concrete business and scientific cases with pair exercises, generate tracking dashboards with Tableau to visualize improvements, and finalize with an immediately deployable data quality governance plan, thereby strengthening your certifying skills in professional training.

Evaluation method

  • Interactive quizzes and multiple-choice questions at the end of each module to validate theoretical knowledge.
  • Practical case studies on real datasets with personalized expert feedback.
  • Final project on a data quality pipeline evaluated against professional criteria and certifying.

Learning method

  • Experiential learning through practical exercises and hands-on activities for 80% of the time.
  • Real case studies from scientific research and Qualiopi-certified companies.
  • Pedagogical methods adapted to the intermediate level with individualized support.
  • Digital resources post-training for autonomous and sustainable review.

Methods, materials and delivery

The Training Data Quality - Mastering Data Reliability in Research 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 - Mastering Data Reliability in Research 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 - Mastering Data Reliability in Research 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 - Mastering Data Reliability in Research training cost?+
The individual price is $2,310 (USD). The team / on-site group package is shown on the course page. A detailed quote is sent within one business day.
How long is the Training Data Quality - Mastering Data Reliability in Research training?+
The training lasts 2 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?+
Solid knowledge of SQL and databases, experience in handling and analyzing structured datasets, basic knowledge of Python for data processing.
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.
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