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 advanced BFR calculation through statistical modelling in a business context
- Develop professional skills in BFR prediction with Scikit-learn
- Implement predictive BFR analyses in certified training
- Optimize company treasury using R scripts applied to BFR
- Design data dashboards for real-time BFR monitoring
- Deploy ML models to anticipate BFR variations
- Acquire data science skills tailored to professional needs
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.
Program
Module 1BFR Fundamentals: Statistical Diagnosis and Data Tools (Scikit-learn Intro)
Discover the key components of BFR through descriptive analyses in Python, calculate financial ratios on real company datasets, identify treasury optimization levers with Pandas and visualize trends via Matplotlib, perform practical exercises on concrete SME cases, produce an initial BFR diagnosis report ready for immediate use in the company.
Module 2BFR Modelling: Linear Regressions and Advanced Stats (R Focus)
Dive into multiple regressions to model BFR, use R to clean accounting data, test correlations between inventories, receivables and payment terms, apply statistical tests to validate models, simulate treasury impact scenarios via Monte Carlo, generate deliverables such as predictive graphs and reusable scripts for your professional team.
Module 3BFR Prediction: Machine Learning with Scikit-learn (Decision Trees)
Implement ML algorithms for BFR forecasting, train Random Forest models on financial histories via Scikit-learn, evaluate performance with RMSE metrics and cross-validation, optimize hyperparameters for increased accuracy, handle missing data from real ERPs, produce a deployable predictive prototype in business production.
Module 4Advanced BFR Analysis: Time Series and R (ARIMA, Prophet)
Explore temporal modelling of BFR with ARIMA in R, integrate Prophet for seasonal forecasts, analyze conjunctural impacts on working capital, combine external data such as interest rates, validate models on industrial case studies, develop interactive dashboards with Shiny for daily BFR monitoring in the company.
Module 5BFR Optimization: Data Deployment and Real Cases (Scikit-learn & R Integrated)
Deploy complete BFR pipelines in production, integrate Scikit-learn and R via APIs, simulate treasury optimizations on 10% BFR reduction, test model robustness against market volatility, finalize personal project with executive report and source code, prepare certification of data science skills applied to professional BFR.
Evaluation method
- Practical quizzes and daily challenges on BFR modelling
- Final BFR prediction project with Scikit-learn and R
- Certified evaluation by jury on real business case
Learning method
- Hands-on projects based on authentic financial datasets
- Coded exercises in Scikit-learn and R with immediate feedback
- Case studies of companies that optimized their BFR via data
- Collaborative learning in small groups of max 10
Methods, materials and delivery
The BFR Training - Optimizing Treasury through 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 BFR Training - Optimizing Treasury through 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 BFR Training - Optimizing Treasury through 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 BFR Training - Optimizing Treasury through Data Science training cost?+
The individual price is $5,775 (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 BFR Training - Optimizing Treasury through Data Science training?+
The training lasts 5 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 descriptive statistics, knowledge of Python or R, elementary accounting and financial management knowledge
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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