Exploratory Data Analysis in R

Next Tech
Virtual Lab
Now offers labs

In this guided lab by Next.Tech, we will take a deeper dive into R in order to conduct some exploratory data analysis to convert structured data into usable models/charts for analysis. This will cover critical topics in R and data science such as data set extraction, data partitions, and data visualization

Time
5 hours
Difficulty
Intermediate
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Description

In this course, you'll learn to perform exploratory data analysis in R.

By the end of this course, you will have the skills you need in R to convert structured data to charts and plots for analysis. This course covers:

Creating standard data summaries, Extracting a subset of a dataset, Splitting a dataset, Creating random data partitions, Generating standard plots, such as histograms, boxplots, and scatterplots, Generating multiple plots on a grid, Creating plots with the lattice package, Creating charts that facilitate comparisons, Creating charts that help to visualize possible causality

Prerequisites

Prior programming experience is not required! However, you may get more out of this course if you've already learned the basics of R and have taken Acquiring and Preparing Data in R.

Provider
Next Tech
Course Components
Reading Activities to provide background knowledge and key concepts crucial to the course
Virtual Labs to gain hands on experience and apply what you learned
Certificate of Completion
Certificate Of Completion

Complete this entire course to earn a Exploratory Data Analysis in R Certificate of Completion