Case Study: Exploratory Data Analysis in R

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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

Once you've learned data manipulation and visualization tools such as dplyr and ggplot2, it will be possible to apply these skills on a real dataset. You will also learn about the historical voting process at the United Nations General Assembly. Analyzing differences across countries and time will be a part of the course. Learn more about ggplot2 or dplyr packages. You will also be able use the broom package for tidying up your model output.

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 Visualization with ggplot2

What You Will Learn

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You'll explore the historical voting of the United Nations General Assembly, including analyzing differences in voting between countries, across time, and among international issues

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In the process you'll gain more practice with the dplyr and ggplot2 packages, learn about the broom package for tidying model output, and experience the kind of start-to-finish exploratory analysis common in data science

Course Instructors

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David Robinson

Principal Data Scientist at Heap

Dave is the Principal Data Scientist at Heap. He has worked as a data scientist at DataCamp and Stack Overflow, and received his PhD in Quantitative and Computational Biology from Princeton Universit...

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Course Cover

$12

$6

49% OFF

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