R PROGRAMMING WITH MACHINE LEARNING

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ESSENTIAL TO R PROGRAMMING

    • An Introduction to R
    • 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

CONTACT US

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