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Exploratory Data Analysis in R

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5

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$12

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Course Features

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Duration

4 hours

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Mobile, Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Intermediate

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Teaching Type

Self Paced

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Video Content

4 hours

Course Description

If your data is presented in a table or database, it's difficult to see beyond the types and size of the variables. This course will show you how to use both numerical and graphic techniques to discover the structure of your data. What variables are indicative of interesting relationships? What are the most surprising observations? These questions will be answered at the end of the course. Beautiful graphics will also be possible.

Course Overview

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Virtual Labs

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International Faculty

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Case Based Learning

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Post Course Interactions

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Case Studies,Hands-On Training,Instructor-Moderated Discussions

Skills You Will Gain

Prerequisites/Requirements

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Introduction to Data in R

What You Will Learn

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In this course, you'll learn how to use graphical and numerical techniques to begin uncovering the structure of your data

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You will learn how to create graphical and numerical summaries of two categorical variables

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You will learn how to graphically summarize numerical data

Course Instructors

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Andrew Bray

Assistant Professor of Statistics at Reed College

Andrew Bray is an assistant professor of statistics at Reed College. His interests are in computing, differential privacy, environmental statistics, and statistics education. He is a co-author of the infer package for tidy statistical inference.

Course Reviews

Average Rating Based on 3 reviews

5.0

100%

Course Cover

$12

$6

49% OFF

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