Data Analysis with R

Exploratory data analysis is an approach for summarizing and visualizing the important characteristics of a data set. Promoted by John Tukey, exploratory data analysis focuses on exploring data to understand the data’s underlying structure and variables, to develop intuition about the data set, to consider how that data set came into existence, and to decide how it can be investigated with more formal statistical methods.

If you're interested in supplemental reading material for the course check out the Exploratory Data Analysis book. (Not Required)

This course is also a part of our Data Analyst Nanodegree.

Prerequisites and Requirements: A background in statistics is helpful but not required. Consider taking and prior to taking this course. Relevant topics include: Familiarity with the following CS and Math topics will help students: See the for using Udacity.