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Case Study - Exploratory Data Analysis in R Data Camp

Highlights
Tuition fee
Free
Free
Free
Unknown
Tuition fee
Free
Free
Free
Unknown
Duration
1 days
Duration
1 days
Apply date
Anytime
Unknown
Apply date
Anytime
Unknown
Start date
Anytime
Unknown
Start date
Anytime
Unknown
Taught in
English
Taught in
English

About

In this Case Study - Exploratory Data Analysis in R course offered by Data Camp you will use data manipulation and visualization skills to explore the historical voting of the United Nations General Assembly.

Overview

Context

In this Case Study - Exploratory Data Analysis in R course offered by Data Camp, 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.

Programme Structure

Chapters include: 

  • Data cleaning and summarizing with dplyr 
  • Tidy modeling with broom 
  • Data visualization with ggplot2 
  • Joining and tidying

Key information

Duration

  • Part-time
    • 1 days

Start dates & application deadlines

You can apply for and start this programme anytime.

Language

English

Delivered

Online

Campus Location

  • New York City, United States

What students do after studying

Join for free or log in to access our complete career info list.

Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

Prerequisites:

  • Introduction to Data Visualization with ggplot2

Tuition Fees

Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
  • International

    Non-residents
    Free
  • Out-of-State
    Free
  • Domestic

    In-State
    Free

Additional Details

This course can be accessed for free with the Data Camp Premium or Teams subscriptions

Funding

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