R for Data Science: A Practical Introduction

R is one of the most popular platforms for data science, largely because you can be highly productive with only a little code. We'll start with a simulated data set from a company's sales force, and in almost no time we'll be mining the data for the knowledge that HR needs to hire the best employees. We'll learn how to get summary data for different subgroups of employees, as well as how to create simple graphs for quick insights. We'll also learn to create reports of our findings that we can easily update when the data changes.

You don't need any programming experience or prior statistics knowledge for this course. I'll even show you where to get R and RStudio, the two pieces of free software that we'll use.

• Lesson 1: Introduction, or Why R is Awesome
• Lesson 2: Installing R, RStudio, and Tidyverse
• Lesson 3: Importing the Data
• Lesson 4: Graphing with Quickplots
• Lesson 5: Summary Statistics by Group
• Lesson 6: Custom Subsets with Filter
• Lesson 7: Turning Characters to Factors
• Lesson 8: Reporting with R Markdown
• Lesson 9: Recap and Project