Machine Learning for Data Scientists

Advance R Programming

Mode of delivery: Instructor-led classroom or online training
Duration: 60 hours


Course Curriculum

Overview on R Programming
  • Introduction to R Programming and preliminaries
  • Simple manipulations; numbers and vectors
  • Arrays and matrices
  • Lists and data frames
  • Reading data from files

Inputs and Outputs
  • Output Formatting
  • The scan() function
  • Accessing built-in data sets
  • Editing data

Grouping, Loops and Conditional Execution
  • Grouped expressions
  • Control statements

Writing Your Own Functions
  • Function definitions
  • Function usage
  • Function examples

Special Topics
  • Statistical models in R
  • Graphical procedures
  • R Packages
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