Data Analysis with R | Exploratory Data Analysis | R Programming

Explore and summarize data sets using R. Learn techniques for investigating relationships between variables and create your own data analysis.

Introduction

Data is everywhere and so much of it is unexplored. Learn how to investigate and summarize data sets using R and eventually create your own analysis.

Highlights

• Learn about exploratory data analysis (EDA) and why it is important
• Install RStudio and packages, learn the layout and basic commands of R, practice writing basic R scripts, and inspect data sets
• Learn techniques for exploring the relationship between variables in a data set, including scatter plots, line plots, and correlations
• Practice using multivariate exploration techniques to look at more complicated relationships between multiple variables
• Put it all together in a case study where we investigate the diamonds data set alongside Facebook Data Scientist, Solomon Messing

Recommendation

This course is suitable for anyone interested in learning how to analyze data using the R programming language. No prior experience is required, making it accessible to beginners. By the end of the course, you will have the skills to investigate and summarize data sets, and create your own data analysis.