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 basics of professional financial modeling for business
- Develop skills in statistics applied to financial data
- Implement predictive models with Scikit-learn in a certified training
- Use R to analyze and visualize 2026 financial flows
- Build reliable and actionable budget forecasts
- Optimize data science skills for strategic business decisions
The Learni story
Founded by passionate learning and innovation experts, Learni's mission is to make professional training accessible to everyone, anywhere in the world. Our team operates in major hubs — London, New York, Boston — and internationally, to support talents and organizations in upskilling.
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 1Financial Modeling Fundamentals: Data Collection and Descriptive Statistics (Excel, Python Intro)
Discover the essential principles of 2026 financial modeling through practical exercises on real company balance sheet datasets, calculate means, standard deviations, and correlations with Pandas and basic stats, clean noisy financial data for precise analyses, produce your first visual reports with Matplotlib, apply these tools to concrete cases like cash position evaluation, receive personalized feedback to consolidate your beginner skills in financial data science.
Module 2Predictive Financial Modeling: Linear Regressions and Scikit-learn (Cash Flow Models)
Dive into regressions to forecast 2026 revenues, train your first Scikit-learn models on listed companies' financial histories, test accuracy via cross-validation and RMSE metrics, integrate macroeconomic variables like inflation and interest rates, simulate what-if scenarios for optimized budgets, collaborate in pairs on a sales forecast project, export actionable deliverables as interactive dashboards, strengthen professional skills in data-driven modeling.
Module 3Advanced 2026 Financial Modeling: R, Time Series, and Model Validation (Risks, ARIMA)
Master R for financial time series analysis using ARIMA and Prophet, model volatilities and risks with VaR, compare Scikit-learn vs R performance on 2026 prospective datasets, validate models via backtesting on past crises, generate predictive reports for strategic management, integrate automations for recurring business flows, conclude with a final certifying project on comprehensive budget forecasting, benefit from individual coaching for immediate upskilling in financial data science.
Evaluation method
- Interactive quizzes and practical exercises at the end of each day
- Final financial modeling project on a real case evaluated by experts
- Qualiopi certificate issued after 80% success in evaluations
Learning method
- Active pedagogy with 70% hands-on practice on real Scikit-learn and R tools
- Real business cases for immediate professional application
- Groups limited to 10 for optimal personalized support
- Unlimited digital resources post-training for review
Methods, materials and delivery
The Training Financial Modeling 2026 - Forecasting Cash Flows and Risks with Precision program is delivered onsite or remote (blended-learning, e-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 Financial Modeling 2026 - Forecasting Cash Flows and Risks with Precision 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 Financial Modeling 2026 - Forecasting Cash Flows and Risks with Precision 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
Learni programs are available inter-company and intra-company, onsite or remote. Enrollments are possible up to 48 business hours before the program starts. Our programs are eligible for corporate funding paths. Contact us to discuss your training project and funding options.
Verified reviews
What our learners
★★★★★
« cool, j'ai appris des trucs »
★★★★★
« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »
★★★★★
« la formation dev etait intense mais grave bien. merci Anthony Khelil »
★★★★★
« 😊👍 »
★★★★★
« bien 👍 »
★★★★★
« Allan Busi t'es au top, continue comme ça. formation géniale »
★★★★★
« cool, j'ai appris des trucs »
★★★★★
« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »
★★★★★
« la formation dev etait intense mais grave bien. merci Anthony Khelil »
★★★★★
« 😊👍 »
★★★★★
« bien 👍 »
★★★★★
« Allan Busi t'es au top, continue comme ça. formation géniale »
★★★★★
« cool, j'ai appris des trucs »
★★★★★
« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »
★★★★★
« la formation dev etait intense mais grave bien. merci Anthony Khelil »
★★★★★
« 😊👍 »
★★★★★
« bien 👍 »
★★★★★
« Allan Busi t'es au top, continue comme ça. formation géniale »
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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