R is rapidly becoming the leading language in data science and statistics. Today, R is the tool of choice for data science professionals in every industry and field. Whether you are full-time number cruncher, or just the occasional data analyst, R will suit your needs. Learn the R programming language for data analysis and visualization. This software programming language is great for statistical computing and graphics.
Course Curriculum :
Section 1: Introduction to Basics Take your first steps with R. Discover the basic data types in R and assign your first variable.
Section 2: Vectors Analyze gambling behavior using vectors. Create, name and select elements from vectors.
Section 3: Matrices Learn how to work with matrices in R. Do basic computations with them and demonstrate your knowledge by analyzing the Star Wars box office figures.
Section 4: Factors R stores categorical data in factors. Learn how to create, subset and compare categorical data.
Section 5: Data Frames When working R, you’ll probably deal with Data Frames all the time. Therefore, you need to know how to create one, select the most interesting parts of it, and order them.
Section 6: Lists Lists allow you to store components of different types. Section 6 will show you how to deal with lists.
Section 7: Basic Graphics Discover R’s packages to do graphics and create your own data visualizations.