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.
Training R Expert - Master Advanced Big Data Analysis
Trusted by — schools, companies and industrial groups
25,807 programs · 25 countries
Every program built with a dedicated engineer
Companies: Aptar, ArcelorMittal, Equans, EDF, Ubisoft and Microsoft.
R Expert training 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
R Expert curriculum: 5 modules over 5 days
Module 1 : Advanced 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 2 : Expert 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 3 : Statistical 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 4 : Optimization 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 5 : Professional 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.
How R Expert skills are assessed
- Continuous evaluation via practical exercises, final project on real dataset, certifying MCQ, personalized feedback.
How the R Expert course is taught
- 70% hands-on on real cases, 30% applied theory, individualized exercises, live mentoring.
R Expert training: access and practical arrangements
The Training R Expert - Master Advanced Big Data Analysis 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 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
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.
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.
Our method
How Learni guarantees the quality of your R Expert training
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.
Our social commitment
A school kit donated to a child for every training booked
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
FAQ
R Expert: frequently asked questions
Which tools are used in R Expert training?+
Hands-on work runs on imports, transformations, joins, interactive dashboards, regressions and clustering. Those tools come from the R Expert program itself, delivered on site over 5 days, so participants practise on the stack they will use at work.
What can participants do after R Expert training?+
They can develop complex data pipelines with data.table and dplyr, create advanced interactive visualizations via ggplot2 and plotly and build predictive models with tidymodels and caret. Those are the stated objectives of the R Expert program at Expert level, checked by the end-of-session assessment.
What does the R Expert program cover, day by day?+
Day 1: Advanced Data Manipulation: data.table, dplyr (imports, transformations, joins). Day 2: Expert Visualization: ggplot2, plotly, animations (interactive dashboards). Day 3: Statistical Modeling: tidymodels, caret (regressions, clustering). Day 4: Optimization and Big Data: Rcpp, parallel, sparklyr (R scalability). Day 5: Professional Deployment: Shiny, plumber, Docker (apps in production). The R Expert program runs over 5 days, delivered on site.
How is R Expert training assessed?+
Assessment relies on continuous evaluation via practical exercises, final project on real dataset, certifying MCQ, personalized feedback. Learni issues a completion certificate together with the individual assessment report at the end of the R Expert program, which an L&D team can file as evidence.
How much does R Expert training cost per participant?+
R Expert training costs $5,775 per participant. For an in-company team, the flat rate starts at $10,395 for the whole group, up to 8 people. The detailed quote, sent within one business day, adjusts the amount to the format and how far the syllabus is tailored to your team.
How long does R Expert training take?+
5 days, available live online (US time zones) or on-site at your offices. Half-day tracks spread over several weeks are possible so the team stays operational.
Who pays for R Expert training?+
Most US teams pay directly through their company L&D or training budget. Learni invoices in US dollars and accepts bank transfer (ACH/wire) or card, with volume pricing for teams. A purchase order is welcome.
What do participants need to know before R Expert training?+
Mastery of intermediate R, advanced statistics, programming in R and SQL.
Is a certificate issued after R Expert training?+
Yes. A Learni completion certificate is issued, along with the individual evaluation report. Learni is a certified training provider and prepares for third-party certifications, but does not award them itself.
Your professional training, anywhere
Let's build your R Expert learning path.
30 minutes with a learning advisor. No commitment. No sales pitch dressed up as a demo.
Reply within 24h · Vetted experts · USD invoicing · W-9 available
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On-site & remote
R Expert training in your city
Available on-site and remotely. Pick your city to see the local training center.