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Home » Programming & Development » R Programming

Course Skill Level:

Intermediate

Course Duration:

6 day/s

  • Course Delivery Format:

    Live, instructor-led.

  • Course Category:

    Programming & Development

  • Course Code:

    RPROGRL21E09

Who should attend & recommended skills:

Data analysts with basic IT experience

Who should attend & recommended skills

  • Those who need to solve practical data analysis problems using the R language and tools, want a crash course in statistics, and deal with messy and incomplete data that are difficult to analyze using traditional methods
  • Skill-level: Foundation-level programming skills for Intermediate skilled team members. This is not a basic class
  • IT Skills: Basic to Intermediate (1-5 years’ experience)
  • No prior experience with R or computer programming required

About this course

Focusing on practical solutions, offers a crash course in statistics and covers elegant methods for dealing with messy and incomplete data that are difficult to analyze using traditional methods.
R teaches you how to use the R language by presenting examples relevant to scientific, technical, and business developers. Focusing on practical solutions, the course offers a crash course in statistics, including elegant methods for dealing with messy and incomplete data. You’ll also master R’s extensive graphical capabilities for exploring and presenting data visually. And this expanded includes new lessons on forecasting, data mining, and dynamic report writing.

Skills acquired & topics covered

  • Master R’s extensive graphical capabilities for exploring and presenting data visually
  • Expanded edition includes new lessons on time series analysis, cluster analysis, and classification methodologies, including decision trees, random forests, and support vector machines.
  • Complete R language tutorial
  • Using R to manage, analyze, and visualize data
  • Techniques for debugging programs and creating packages
  • OOP in R
  • Over 160 graphs

Course breakdown / modules

  • Basic Syntax
  • Data Types
  • Program Flow (loops, conditionals)
  • Functions

  • Structures
  • Enumerations
  • Classes
  • Arrays

  • Basics of Object-Orientation
  • Classes and objects
  • Properties
  • Fields
  • Functions
  • Aggregation/Uses
  • Inheritance Polymorphism
  • Abstract Classes
  • Interfaces

  • Throwing
  • Catching
  • Custom Exceptions

  • I/O classes
  • Collections
  • Dates, Times, and Time zones

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