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.
Learning objectives
- Master the Gherkin 2026 syntax for writing BDD scenarios in data science
- Develop professional skills in specifying tests for ML pipelines
- Implement data user stories with Scikit-learn and R through certified training
- Design feature files adapted to company data projects
- Optimize automated BDD tests for robust statistical models
- Acquire certified skills in data BDD to boost your career
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.
Program
Module 1Gherkin 2026 Fundamentals: Syntax and Data User Stories (Scikit-learn Intro)
Discover the Given-When-Then syntax of Gherkin 2026 adapted to data science projects, write your first user stories for ML pipelines with Scikit-learn, practice on real datasets to identify relevant data features, build simple feature files integrating basic statistics, manually test your scenarios in pairs to validate professional clarity, receive immediate pedagogical feedback to anchor beginner skills.
Module 2Gherkin 2026 Scenarios: BDD Tests for R Models and Stats (Cucumber Setup)
Dive into complex Gherkin 2026 scenarios for testing R models in data science, set up Cucumber with data-specific hooks, write backgrounds for recurring statistical workflows, apply data tables examples to linear regressions, simulate end-to-end tests on predictive pipelines, analyze BDD failures for rapid debugging, produce deliverables ready for CI/CD integration in data companies.
Module 3Advanced Gherkin 2026: Data Tables and Tags for Scikit-learn (Stats Exercises)
Master Gherkin 2026 data tables to parameterize Scikit-learn hyperparameters, tag scenarios by statistical criticality in data science, integrate Python step definitions for cross-validations, practice on real ML classification cases, optimize scenarios with @smoke and @regression data tags, collaborate in teams to refine collective feature files, generate automated BDD reports for company audits.
Module 4Gherkin 2026 Projects: Full Data BDD Integration (Certifying Deliverables)
Complete a full Gherkin 2026 project on end-to-end Scikit-learn and R pipelines, specify Given-When-Then for ML ops deployment, automate BDD tests with Behave or SpecFlow data, conduct agile peer-review of code, measure statistical coverage via integrated tools, prepare a professional certifying portfolio, conclude with Q&A on implementation in data science companies.
Evaluation method
- Daily interactive quizzes on Gherkin 2026 data syntax
- Practical case studies with Scikit-learn and R BDD
- Final certifying project: tested pipeline and portfolio deliverable
Learning method
- Active pedagogy 70% hands-on with real data science datasets
- Hands-on exercises in Gherkin 2026 with Scikit-learn and R tools
- Personalized feedback in small groups of max 10
- Real business cases to anchor professional skills
Methods, materials and delivery
The Training Gherkin 2026 - Specifying BDD Tests for Data Science 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 Gherkin 2026 - Specifying BDD Tests for Data Science 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 Gherkin 2026 - Specifying BDD Tests for Data Science 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.
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.
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FAQ
Frequently asked questions
How much does the Training Gherkin 2026 - Specifying BDD Tests for Data Science training cost?+
The individual price is $4,620 (USD). A detailed quote is sent within one business day.
How long is the Training Gherkin 2026 - Specifying BDD Tests for Data Science 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?+
Basics in Python or R, knowledge of data analysis, agile environment in the company
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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