Free Course

Data Analysis with R

by
Facebook

Visually Analyze and Summarize Data Sets

Nanodegree Program

Data Analyst

byKaggle

Become a Data Analyst

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

About this Course

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.

Course Cost
Free
Timeline
Approx. 2 months
Skill Level
intermediate
Included in Product

Rich Learning Content

Interactive Quizzes

Taught by Industry Pros

Self-Paced Learning

Student Support Community

Join the Path to Greatness

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

Free Course

Data Analysis with R

byFacebook

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

Icon steps 54aa753742d05d598baf005f2bb1b5bb6339a7d544b84089a1eee6acd5a8543d
 
 

Course Leads

Moira Burke

Moira Burke

Instructor

Chris Saden

Chris Saden

Instructor

Solomon Messing

Solomon Messing

Instructor

Dean Eckles

Dean Eckles

Instructor

Prerequisites and Requirements

A background in statistics is helpful but not required. Consider taking Intro to Descriptive Statistics and Intro to Inferential 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.

Our Nanodegrees are packed with much more
Nanodegree Certitification

Rich Learning Content

Interactive Quizzes

Self Paced Learning

Taught by Industry Professionals

1-1 Coaching and Mentorship

See Nanodegree
Free Courses

Rich Learning Content

Interactive Quizzes

Self Paced Learning

Taught by Industry Professionals

 

See Free Courses

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

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