Hands On Training

Case Study: Exploratory Data Analysis in R

DataCamp

(3)

Course Features

Duration

4 hours

Delivery Method

Online

Available on

Limited Access

Accessibility

Mobile, Desktop, Laptop

Language

English

Subtitles

English

Level

Intermediate

Teaching Type

Self Paced

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

Virtual Labs

International Faculty

Case Based Learning

Post Course Interactions

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

Skills You Will Gain

Prerequisites/Requirements

Introduction to Data Visualization with ggplot2

What You Will Learn

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

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 Content

Expand all sections

Module 1: Data cleaning and summarizing with dplyr

Module 2: Data visualization with ggplot2

Module 3: Tidy modeling with broom

Module 4: Joining and tidying

Course Instructors

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...

Course Reviews

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