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
- Develop complex data pipelines with data.table and dplyr
- Create advanced interactive visualizations via ggplot2 and plotly
- Build predictive models with tidymodels and caret
- Optimize R performance for Big Data with parallel and Rcpp
- Deploy scalable Shiny applications in production
- Analyze massive datasets in real-time with sparklyr
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 1Advanced Data Manipulation: data.table, dplyr (imports, transformations, joins)
Dive into refactoring massive datasets, manipulate millions of rows with data.table for blazing speeds, smooth transformation chains via dplyr and purrr, exercises on real e-commerce log cases, produce production-ready ETL deliverables, gain immediate efficiency.
Module 2Expert Visualization: ggplot2, plotly, animations (interactive dashboards)
Master advanced facets of ggplot2 for publication-ready graphs, integrate plotly for web interactivity, animate complex time series, apply to real IoT datasets, export to Shiny or Power BI, create dashboards that impress stakeholders by the end of the session.
Module 3Statistical Modeling: tidymodels, caret (regressions, clustering)
Build end-to-end ML workflows with tidymodels, tune hyperparameters via caret cross-validation, test advanced GLMs and random forests on sensitive medical data, validate with ROC-AUC, generate automated reports via RMarkdown, transform analyses into irresistible competitive advantages.
Module 4Optimization and Big Data: Rcpp, parallel, sparklyr (R scalability)
Accelerate scripts x10 with Rcpp for native C++ in R, parallelize via future and foreach on clusters, query Hadoop/Spark via sparklyr on terabytes, exercises on massive web logs, profile with profvis, deploy scalable solutions that outperform Python in production.
Module 5Professional Deployment: Shiny, plumber, Docker (apps in production)
Develop reactive Shiny dashboards with advanced modules, expose APIs via plumber, containerize with Docker and Kubernetes, secure for enterprise, test on live fintech cases, deliver one-click deployable apps, become the hero of your data team.
Evaluation method
- Continuous evaluation via practical exercises, final project on real dataset, certifying MCQ, personalized feedback.
Learning method
- 70% hands-on on real cases, 30% applied theory, individualized exercises, live mentoring.
Methods, materials and delivery
The Training R Expert - Master Advanced Big Data Analysis 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 R Expert - Master Advanced Big Data Analysis 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 R Expert - Master Advanced Big Data Analysis 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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