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.
1 seat held for the next session
30:00Held for another
Request a call back and an advisor reaches you within 24 business hours, Monday to Saturday.
Trusted by — schools, companies and industrial groups
Every program built with a dedicated engineer
Learning objectives
- Master expert features of 360Learning to design certifying Data Science pathways
- Develop advanced skills in statistics and modeling with Scikit-learn and R via 360Learning
- Design professional training tailored to corporate needs in artificial intelligence
- Implement integrated assessments and certifications in Data Science programs on 360Learning
- Optimize educational content for effective professional transition into Data Science
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
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
Companies that fail to train their teams on advanced Data Science tools lose an average of 25% productivity on analytical projects.
Without expert mastery of 360Learning combined with Scikit-learn and R, organizations struggle to certify employees and accumulate a competitive disadvantage worth several hundred thousand euros.
Careers stagnate and talent exits to better-equipped organizations.
Acting now prevents these measurable losses.
Program
Module 1Theme: Expert architecture of Data Science training with 360Learning (Scikit-learn, R, analytics)
Participants explore advanced 360Learning modules to structure expert pathways. They configure R and Scikit-learn environments, create practical exercises on real datasets and produce predictive modeling deliverables. Business cases illustrate the integration of advanced statistics into certifying training programs.
Module 2Theme: Advanced statistical modeling and ML pipelines in 360Learning (R tools, Scikit-learn)
This day focuses on creating expert content on statistical and machine learning models. Learners develop interactive pathways with Scikit-learn and R, integrate cross-validation exercises and generate analysis reports. They design modules ready for corporate deployment.
Module 3Theme: Data Science assessment and certification via 360Learning (Scikit-learn, R, reporting)
Trainees implement automated assessment systems in 360Learning. They create advanced quizzes, practical statistics projects and recognized certifications. Workshops allow testing real data analysis scenarios with Scikit-learn and R, resulting in professional deliverables.
Module 4Theme: Deployment and optimization of expert 360Learning training (Data Science, R)
The final day focuses on optimizing and deploying complete training programs. Participants integrate feedback, measure the impact of Data Science pathways and finalize content with Scikit-learn and R. They produce a final project ready for use in their organization.
Evaluation method
- Daily interactive quizzes on statistical concepts and tools
- Final project designing a certifying Data Science pathway
- Oral presentation and business case analysis
Learning method
- Creation of expert content on 360Learning
- Mastery of Scikit-learn and R for training purposes
- Design of professional certifications
- Advanced data analysis and reporting
Methods, materials and delivery
The Training 360Learning 2026 - Advanced Data Science Expertise 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 360Learning 2026 - Advanced Data Science Expertise 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 360Learning 2026 - Advanced Data Science Expertise 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
Which tools are used in 360Learning 2026 training?+
Hands-on work runs on scikit-learn, analytics, r tools, reporting and data Science. Those tools come from the 360Learning 2026 program itself, delivered on site over 4 days, so participants practise on the stack they will use at work.
What can participants do after 360Learning 2026 training?+
They can master expert features of 360Learning to design certifying Data Science pathways, develop advanced skills in statistics and modeling with Scikit-learn and R via 360Learning and design professional training tailored to corporate needs in artificial intelligence. Those are the stated objectives of the 360Learning 2026 program at Expert level, checked by the end-of-session assessment.
What does the 360Learning 2026 program cover, day by day?+
Day 1: Theme: Expert architecture of Data Science training with 360Learning (Scikit-learn, R, analytics). Day 2: Theme: Advanced statistical modeling and ML pipelines in 360Learning (R tools, Scikit-learn). Day 3: Theme: Data Science assessment and certification via 360Learning (Scikit-learn, R, reporting). Day 4: Theme: Deployment and optimization of expert 360Learning training (Data Science, R). The 360Learning 2026 program runs over 4 days, delivered on site.
How is 360Learning 2026 training assessed?+
Assessment relies on daily interactive quizzes on statistical concepts and tools, final project designing a certifying Data Science pathway and oral presentation and business case analysis. Learni issues a completion certificate together with the individual assessment report at the end of the 360Learning 2026 program, which an L&D team can file as evidence.
How much does 360Learning 2026 training cost per participant?+
$4,620 (USD) per participant. A detailed quote is sent within one business day, and team pricing applies from the second participant.
How long does 360Learning 2026 training take?+
4 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 360Learning 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 360Learning 2026 training?+
Confirmed proficiency in Python, R, Scikit-learn and inferential statistics, prior experience in corporate Data Science projects.
Is a certificate issued after 360Learning 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.
On-site & remote
This training across cities
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