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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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The Complete Training: Introduction to the R Language for 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.
To ensure the quality of the Complete Training: Introduction to the R Language for Data Analysis 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 Complete Training: Introduction to the R Language for Data Analysis 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.
Introduction to the R language, installation of R and RStudio, interface overview, first scripts, workspace management, package installation, data import from various formats (CSV, Excel).
Basic structures (vector, list, data.frame, matrix), data exploration and cleaning (detecting/handling missing values, reformatting variables), introduction to dplyr package for dataset manipulation, filters, sorting, grouping, column calculations.
Descriptive statistics (mean, median, standard deviation), simple correlation analyses, introduction to statistical tests, graph creation with ggplot2 (histograms, boxplots, scatter plots), customization and saving visualizations. Exporting results (tables and visuals).
Target audience
Analysts, students, professionals, or anyone wishing to discover the R language for data analysis.
Prerequisites
Comfort with basic computer environment. Basic statistics knowledge recommended but not required.
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