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 Lean - Optimizing Data Science Processes
Specialist course · Minimum level required
Trusted by — schools, companies and industrial groups
41,120 programs · 25 countries
Every program built with a dedicated engineer
Companies: Aptar, ArcelorMittal, Equans, EDF, Ubisoft, Microsoft and Atos.
Lean training objectives
- Master Lean principles applied to professional Data Science training
- Develop advanced skills to optimize data flows in the company
- Design certified statistical pipelines with Scikit-learn and R
- Implement Lean methods to reduce analytical waste
- Optimize predictive modeling processes in a professional context
Program
Lean curriculum: 5 modules over 5 days
Module 1 : Theme: Lean Fundamentals for Data Science Projects (statistics, R, Scikit-learn)
Participants discover the integration of Lean principles into Data Science workflows. They analyze concrete cases of statistical pipeline optimization with R and Scikit-learn, identify waste and perform practical value mapping exercises. Deliverables include an optimized data flow map and an initial diagnostic for their company.
Module 2 : Theme: Value Analysis and Advanced Lean Statistics (Scikit-learn, R)
Exploration of statistical tools to measure added value in data projects. Learners apply Lean techniques on real datasets with Scikit-learn and R, conduct variance analyses and build streamlined models. Exercises include simulations of lead time reduction and deliverables of optimization reports.
Module 3 : Theme: Lean Automation of Data Science Flows (statistics, R, Scikit-learn)
Focus on automation of analytical processes via Lean methods. Practical training on R and Scikit-learn scripts to eliminate unnecessary steps, with company cases integrating advanced statistics. Participants develop automated prototypes and produce deliverables of optimized pipelines ready for deployment.
Module 4 : Theme: Continuous Lean Improvement in Data Science (Scikit-learn, statistics)
Implementation of continuous improvement cycles applied to modeling. Use of R and Scikit-learn for rapid iterations on statistical models, performance analysis and Lean adjustments. Collective exercises on company data lead to certified recommendations and deliverables of improvement dashboards.
Module 5 : Theme: Lean Deployment and Data Science Certification (R, Scikit-learn)
Synthesis and deployment of complete Lean solutions in Data Science. Review of skills acquired with R and Scikit-learn tools, preparation of professional presentations and final validation. Deliverables include a company implementation plan and a certified training report to consolidate learning.
How Lean skills are assessed
- Daily quizzes on Lean Data Science concepts
- Final project of an optimized pipeline with R and Scikit-learn
- Oral presentation and group feedback
How the Lean course is taught
- Practical exercises on real datasets
- Concrete company case studies
- Collaborative work in small groups
- Personalized feedback each day
Lean training: access and practical arrangements
The Training Lean - Optimizing Data Science Processes 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 Lean - Optimizing Data Science Processes 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 Lean - Optimizing Data Science Processes 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 Lean 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
Lean: frequently asked questions
Which tools are used in Lean training?+
Hands-on work runs on statistics and scikit-learn. Those tools come from the Lean program itself, delivered on site over 5 days, so participants practise on the stack they will use at work.
What can participants do after Lean training?+
They can master Lean principles applied to professional Data Science training, develop advanced skills to optimize data flows in the company and design certified statistical pipelines with Scikit-learn and R. Those are the stated objectives of the Lean program at Advanced level, checked by the end-of-session assessment.
What does the Lean program cover, day by day?+
Day 1: Theme: Lean Fundamentals for Data Science Projects (statistics, R, Scikit-learn). Day 2: Theme: Value Analysis and Advanced Lean Statistics (Scikit-learn, R). Day 3: Theme: Lean Automation of Data Science Flows (statistics, R, Scikit-learn). Day 4: Theme: Continuous Lean Improvement in Data Science (Scikit-learn, statistics). Day 5: Theme: Lean Deployment and Data Science Certification (R, Scikit-learn). The Lean program runs over 5 days, delivered on site.
How is Lean training assessed?+
Assessment relies on daily quizzes on Lean Data Science concepts, final project of an optimized pipeline with R and Scikit-learn and oral presentation and group feedback. Learni issues a completion certificate together with the individual assessment report at the end of the Lean program, which an L&D team can file as evidence.
How much does Lean training cost per participant?+
Lean training costs $7,875 per participant. For an in-company team, the flat rate starts at $14,175 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 Lean 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 Lean 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 Lean training?+
Confirmed mastery of statistics, solid experience in R or Scikit-learn, participation in complex data projects.
Is a certificate issued after Lean 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 Lean 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 Lean learning path.
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