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 advanced machine learning algorithms via Scikit-learn in professional training
- Develop skills in statistical modeling with R for the enterprise
- Implement optimized and reproducible data science pipelines
- Design robust predictive models adapted to certifying needs
- Optimize ML model performance for professional applications
- Analyze complex datasets by integrating Scikit-learn and R
- Acquire certifying skills in Intermediate Data Science
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 1Devin in Advanced Statistics: Hypothesis Testing and Regression with R (p-values, confidence intervals)
Discover strengthened statistical foundations for Devin, applying parametric and non-parametric tests with R through exercises on real company datasets. Calculate p-values, intervals, and visualize distributions. Put multiple linear regression into practice, identify multicollinearity, and produce interpretable reports ready for decision-making, consolidating your professional skills in 7 intense hours.
Module 2Devin with Scikit-learn: Preprocessing and Feature Engineering (scaling, encoding, pipelines)
Dive into Devin preprocessing via Scikit-learn: transform categorical variables, normalize features with StandardScaler and MinMaxScaler, build automated pipelines for reproducibility. Test on concrete cases like customer churn prediction, handle missing values with advanced imputation, evaluate impact via cross-validation, and generate visualizations with Matplotlib, strengthening your professional data science skills over 7 practical hours.
Module 3Devin ML Modeling: Decision Trees, Random Forests, and Boosting with Scikit-learn & R
Implement Devin ensemble models: train random forests and Gradient Boosting via Scikit-learn, tune hyperparameters with GridSearchCV, compare ROC-AUC performances on Kaggle datasets. Integrate XGBoost from R for hybridization, analyze feature importance, predict on hold-out data, and deploy functional prototypes through collaborative workshops promoting certifying upskilling in the enterprise, in 7 dynamic hours.
Module 4Devin Deployment and Optimization: Basic MLOps, Interpretability with SHAP (final deliverables)
Finalize your Devin training by deploying models via Pickle and Rds, integrate SHAP for local/global explanations, optimize bias-variance tradeoff, test robustness on adversarial data. Build simple Streamlit dashboards, present capstone project on real business case like credit scoring, receive mentored feedback and certificate, consolidating professional Data Science skills over 7 action-oriented hours focused on enterprise ROI.
Evaluation method
- Daily interactive quizzes on Devin concepts and tools
- Final predictive modeling project with Scikit-learn and R
- Peer-review evaluation and personalized certifying feedback
Learning method
- Practical projects on real company datasets
- Hands-on workshops with Scikit-learn and R in small groups
- Concrete case studies from various sectors
- Individualized mentoring for personal optimization
Methods, materials and delivery
The Training Devin - Mastering Scikit-learn and R in Data Science 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 Devin - Mastering Scikit-learn and R in 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 Devin - Mastering Scikit-learn and R in 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
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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