R

R

R is a programming language and software environment for statistical computing and graphics. It was developed for the R project for statistical computing and has become a popular choice for data analysis, statistical modeling, and data visualization. R provides a wide range of statistical and graphical techniques, including linear and nonlinear modeling, classical statistical tests, time-series analysis, classification, clustering, and more. It also has a large and active community of contributors and users, providing a wealth of packages and tools for data analysis and visualization. R is known for its user-friendly syntax, easy-to-use data structures, and powerful graphics capabilities, making it a great choice for both beginners and experienced data analysts.

Our R programming language courses are educational programs designed to teach individuals the skills and knowledge needed to work with the R programming language for data analysis and statistical modeling. These courses typically cover the fundamentals of R programming, including data structures, functions, control structures, and programming best practices. They also cover the specific features and functionality of R, such as its powerful data analysis and visualization tools, and its wide range of statistical and graphical techniques.

Our R programming language courses are designed for a range of skill levels, from beginner to advanced, and are often tailored for individuals with a background in mathematics, statistics, or computer science. They may be offered online or in-person, and can range from short tutorials to comprehensive programs that provide hands-on experience working with real-world data.

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  • WSQ - Bioinformatics Data Analysis with R Bioconductor

    • WSQ
    • SkillsFuture Credit
    • PSEA
    • UTAP
    • SFEC
    • Absentee Payroll
    • MCES
    7 Review(s)
    This WSQ Bioinformatics Data Analysis with R Bioconductor course equips learners with essential bioinformatics skills, focusing on using R Bioconductor to analyze biological data. Participants will explore sequence alignment, structural bioinformatics, and variant calling, while applying statistical techniques to uncover trends and interpret complex datasets. The course also covers statistical tests for data acceptab....
    $2,000.00 (GST-exclusive)
    $2,180.00 (GST-inclusive)

    before funding and GST

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