# Data Analysis with R

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Visually Analyze and Summarize Data Sets

### Data Analyst

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Become a Data Analyst

Accelerate your career with the credential that fast-tracks you to job success.

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.

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###### Included in Product

Rich Learning Content

Interactive Quizzes

Taught by Industry Pros

Self-Paced Learning

Student Support Community

#### Join the Path to Greatness

This course is your first step towards a new career with the Data Analyst Program.

#### Data Analysis with R

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Enhance your skill set and boost your hirability through innovative, independent learning.

Instructor

Instructor

Instructor

### Dean Eckles

Instructor

#### Prerequisites and Requirements

A background in statistics is helpful but not required. Consider taking Intro to Descriptive Statistics prior to taking this course. Relevant topics include:

• Mean, median, mode
• Normal, uniform, and skewed distributions
• Histograms and box plots

Familiarity with the following CS and Math topics will help students:

• Variable assignment
• Comparison and logical operators ( <, >, <=, >=, ==, &, | )
• If else statements
• Square roots, logarithms, and exponentials

See the Technology Requirements for using Udacity.

#### Why Take This Course

You will...

• Understand data analysis via EDA as a journey and a way to explore data
• Explore data at multiple levels using appropriate visualizations
• Acquire statistical knowledge for summarizing data
• Demonstrate curiosity and skepticism when performing data analysis
• Develop intuition around a data set and understand how the data was generated.
###### What do I get?
Instructor videosLearn by doing exercisesTaught by industry professionals