What is the price of the Training R - Master Advanced Data Analysis training?

The price of the Training R - Master Advanced Data Analysis training is 5250 € HT. This includes access to all modules, training materials and personalized support. Funding solutions are available through OPCO.

Is the training Qualiopi certified?

Yes, Learni is a Qualiopi-certified training organization. This certification guarantees the quality of our courses and enables funding through OPCO and other mechanisms.

What is the duration of the Training R - Master Advanced Data Analysis training?

The Training R - Master Advanced Data Analysis training takes place over 35 hours. The program is structured in progressive modules for optimal skill development.

How can I fund my training?

Our courses are eligible for OPCO funding. Learni supports you through the funding process. A personalized quote is available upon request.

What are the prerequisites for this training?

The prerequisites for the Training R - Master Advanced Data Analysis training are: R basics (vectors, data frames, simple functions), basic descriptive statistics.. A preliminary interview validates your eligibility.

What are the objectives of the Training R - Master Advanced Data Analysis training?

The objectives of the Training R - Master Advanced Data Analysis training are: Master tidyverse for efficient data manipulation. Create impactful visualizations with ggplot2. Perform advanced statistical analyses. Develop reproducible and optimized scripts. Apply R to real business cases. Automate data processing workflows. Upon completion, you will be able to put these skills into practice.

Is the training available in person?

Yes, the Training R - Master Advanced Data Analysis training is available in in-person. The format can be adapted to your needs (inter, intra, custom).

Training R - Master Advanced Data Analysis | Learni

The story of Learni

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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Methods, approaches, and teaching resources

The Training R - Master Advanced Data Analysis 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.

Teaching resources provided

To ensure the quality of the Training R - Master Advanced Data Analysis training, Learni provides the following teaching resources:

Mac or PC computers, high-speed fiber internet, whiteboard or flipchart, video projector or interactive touchscreen (for remote sessions)
Training environments installed on workstations or accessible online
Course materials, practical exercises, and supplementary resources
Post-training access to materials and 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.

* contact us for remote feasibility** ratio varies depending on the training followed

Assessment methods

The assessment of skills acquired during the Training R - Master Advanced Data Analysis training is carried out through:

During training: case studies, practical exercises, and professional scenarios
At the end of training: self-assessment questionnaire and skills evaluation by the trainer
After training: training completion certificate detailing acquired skills

Training accessibility

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.

Training access terms and deadlines

Training program

Module 1Data Manipulation: tidyverse, dplyr, tidyr (pipes, filtering, reshaping)

Dive into tidyverse to transform complex datasets, practice on real sales and customer data, chain filtering, mutating, and summarizing with the pipe %%, reshape with pivot_longer and pivot_wider, produce clean scripts and export CSVs ready for analysis, all while gaining speed and precision.

Module 2Visualization: ggplot2 (advanced charts, faceting, themes)

Create impactful charts that reveal hidden insights, apply ggplot2 to real marketing datasets, overlay layers for scatterplots and histograms, master faceting and custom scales, test themes and annotations in interactive exercises, export professional visuals for reports and dashboards.

Module 3Functional Programming: purrr, custom functions (vectorized loops)

Level up by automating with purrr and map, code custom functions on HR use cases, vectorize massive treatments without slow loops, manage lists and nested data frames via practical exercises, debug and optimize your first personal packages, boost productivity from the next day.

Module 4Modeling: lm, glm, validation (advanced stats with broom)

Build robust predictive models on e-commerce data, fit linear and logistic regressions with lm and glm, validate with residuals and cross-validation, interpret coefficients in guided labs, tidy outputs with broom for clear tables, apply to churn and sales forecasts.

Module 5Integrated Projects: complete workflows, Shiny intro, best practices (Git, RMarkdown)

Synthesize everything in an end-to-end project on an open data dataset, integrate tidyverse with modeling and ggplot2, generate interactive RMarkdown reports, initiate basic Shiny apps, version with Git in a team, deliver a personal portfolio ready to share, leave with professional methods for real projects.