Lesson 1 of 16 • 31 upvotes • 2:34mins
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. This introduction to R programming course will help you master the basics of R. In 15 lectures, we will cover its basic syntax, making you ready to undertake your own first data analysis using R. Starting from variables and basic operations, you will eventually learn how to handle data structures such as vectors, matrices, data frames and lists. In the final section, you will dive deeper into the graphical capabilities of R, and create your own stunning data visualizations. No prior knowledge in programming or data science is required.
16 lessons • 2h 20m
Course Overview
2:34mins
Basic Building Blocks
9:44mins
Workspace and Files
8:23mins
Sequences and Numbers
6:12mins
Vectors
9:53mins
Missing Values
5:35mins
Subsetting Vectors
11:32mins
Matrices and Data Frames
8:19mins
Logic
9:39mins
Functions
11:36mins
Lapply and Sapply
9:05mins
Vapply and Tapply
9:08mins
Looking at Data
9:20mins
Simulation
9:49mins
Date and Time in R
8:31mins
Base Graphics
10:57mins