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