• Classroom
  • Online, Instructor-Led
Course Description

R is a functional programming environment for business analysts and data scientists. It's a language that many non-programmers can easily work with, naturally extending a skill set that is common to high-end Excel users. It's the perfect tool for when the analyst has a statistical, numerical, or probabilities-based problem based on real data, and they've pushed Excel past its limits. In this course, you will work in a hands-on environment, learning R and its ecosystem, and where it’s a better a tool than Excel.

Learning Objectives

  • Define basic data science processes
  • Identify and define R programming variables, types, loops, scalars, vectors, and matrices
  • Perform string and text manipulation in R
  • Identify and employ R lists & functions
  • Use R DataFrames and file I/O
  • Read data from files and perform data preparation
  • Perform data visualization using a range of plotting functions
  • Use Dplyr for data exploration
  • Create statistical models with R
  • Use linear and logistic regressions

Framework Connections

The materials within this course focus on the NICE Framework Task, Knowledge, and Skill statements identified within the indicated NICE Framework component(s):

Feedback

If you would like to provide feedback for this course, please e-mail the NICCS SO at NICCS@hq.dhs.gov.