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Founded by passionate advocates of learning and innovation, Learni set out to make professional training accessible to everyone, everywhere in the world. Our team works in the largest cities such as Paris, Lyon, Marseille, and internationally, to support talents and organizations in their skills development.
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30 free minutes with a training advisor — no commitment.
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The Training R Expert - Advanced Statistical Modeling training is delivered in-person or remotely (blended-learning, e-learning, virtual classroom, remote in-person). At Learni, a Qualiopi-certified training organization, each program is designed to maximize skills acquisition, regardless of the training mode chosen.
The trainer alternates between demonstrative, interrogative, and active methods (through practical exercises and/or real-world scenarios). This pedagogical approach ensures concrete and directly applicable learning in the workplace.
To ensure the quality of the Training R Expert - Advanced Statistical Modeling training, Learni provides the following teaching resources:
For in-house training at a location external to Learni, the client ensures and commits to having all necessary teaching materials (IT equipment, internet connection...) for the proper conduct of the training action in accordance with the prerequisites indicated in the communicated training program.
The assessment of skills acquired during the Training R Expert - Advanced Statistical Modeling training is carried out through:
Learni is committed to the accessibility of its professional training programs. All our training programs are accessible to people with disabilities. Our teams are available to adapt teaching methods to your specific needs. Do not hesitate to contact us for any accommodation request.
Learni training programs are available for inter-company and intra-company settings, both in-person and remote. Registration is possible up to 48 business hours before the start of training. Our programs are eligible for OPCO, Pôle emploi, and FNE-Formation funding. Contact us to discuss your training project and funding possibilities.
Dive into GLM and non-linear models with glmnet and mgcv on real datasets, perform regularized regressions to predict sales, conduct complete diagnostics via broom and ggplot2 for impactful visualizations, test the robustness of your models on concrete cases, produce your first knitr reports ready to share, and optimize your scripts for smooth execution.
Explore ML pipelines with tidymodels and caret on massive data, train Random Forest and XGBoost models for precise classification, analyze time series via forecast and ARIMA for reliable forecasts, cross-validate your approaches on Kaggle datasets, integrate advanced feature engineering, generate interactive confusion matrices, and deploy your predictions in production.
Accelerate your big data analyses with data.table and parallel, build reactive Shiny dashboards to visualize KPIs in real-time, integrate APIs for live data, automate workflows via plumber, test scalability on clusters, finalize a complete project with GitHub deployment, and leave with a pro portfolio demonstrating your R expertise.
Target audience
Data scientists, statisticians, experienced BI analysts seeking advanced skills in complex analyses.
Prerequisites
Mastery of basic R, vector programming, inferential statistics, data manipulation with tidyverse.
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