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    R Programming Course Syllabus

    R Programming Training Syllabus

    Empower your data science skills with our industry-relevant R Programming Course Syllabus and prepare yourself for new-gen analytics jobs. Learn how to predict outcomes accurately through R Programming Course Curriculum as it covers important concepts such as Introduction to R, Data Manipulation Techniques with R, Statistical Application with R, and Probability and Distributions with R Programming. Get enhanced knowledge required for top companies through our R Programming Training Course in Chennai at SLA Institute.

    Essential To R Programming

    • Introduction To The R Language
    • Programming Statistical Graphics
    • Programming With R
    • Simulation
    • Computational Linear Algebra
    • Numerical Optimization

    Data Manipulation Techniques Using R Programming

    • Data In R
    • Reading And Writing Data
    • R And Databases
    • Dates
    • Factors
    • Subscribing
    • Character Manipulation
    • Data Aggregation
    • Reshaping Data
    Statistical Applications Using R Programming
    • Basics
    • The R Environment
    • Probability And Distributions
    • Descriptive Statistics And Graphics
    • One- And Two-Sample Tests
    • Regression And Correlation
    • Analysis Of Variance And The Kruskal–Wallis Test
    • Tabular Data
    • Power And The Computation Of Sample Size
    • Advanced Data Handling
    • Multiple Regression
    • Linear Models
    • Logistic Regression
    • Survival Analysis
    • Rates And Poisson Regression
    • Nonlinear Curve Fitting
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    Become a master in data analytics and application developments through our R Programming Training in Chennai. Book a free demo class to check out our R Programming Course Curriculum.

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