Learn how to program in R and use it for effective data analysis. This three-day course gives an overview of R, and covers setup, data types, data reshaping, different file types, regression, and more.
Prerequisites
Prior programming experience with an object-oriented language. Familiarity with basic statistics concepts is necessary for the third day of the course.
Class Outline
Day 1
- Overview
- Environment Setup
- Basic Syntax
- Data Types
- Variables
- Operators
- Decision Making
- Loops
- Function
- Strings
- Vectors
- Lists
- Matrices
- Arrays
- Factors
- Data Frames
- Packages
Day 2
- Data Reshaping
- Csv Files
- Excel File
- Binary Files
- Xml Files
- Json File
- Web Data
- Databases
- Pie Charts
- Bar Charts
- Boxplots
- Histograms
- Line Graphs
- Scatterplots
Day 3
- Mean, Median & Mode
- Linear Regression
- Multiple Regression
- Logistic Regression
- Normal Distribution
- Binomial Distribution
- Poisson Regression
- Analysis Of Covariance
- Time Series Analysis
- Nonlinear Least Square
- Decision Tree
- Random Forest
- Survival Analysis
- Chi Square Test
