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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
        Share Training And Course Content With Friends And Students
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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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