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Data Manipulation in R Data Camp

Highlights
Tuition fee
Free
Free
Free
Unknown
Tuition fee
Free
Free
Free
Unknown
Duration
2 days
Duration
2 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 Data Manipulation in R course offered by Data Camp you will learn how to transform, sort, and filter your data, ready for quick analysis.

Overview

Context

The R packages dplyr and tidyr are essential tools for efficient data manipulation, providing a clear and concise way to wrangle messy real-world data. In this Data Manipulation in R course offered by Data Camp, you'll learn the key functions of these packages, enabling you to expertly extract, filter, and work with your data, setting the stage for smooth and effective analysis.

Become a Data Manipulation Expert

Through hands-on exercises, you'll learn how to:

  • Select, filter, and arrange data using dplyr's intuitive verb-based functions
  • Reshape data between wide and long formats with tidyr for easy analysis and visualization
  • Join multiple tables together to combine data and answer complex questions
  • Handle missing values and create tidy data that's analysis-ready

Solve Real Business Problems with dplyr

Put your skills into practice by working with real-world datasets. You'll analyze voting data from the United Nations to uncover insights and trends. By applying dplyr's powerful functions, you'll quickly manipulate the data, enabling you to focus on the important questions and deliver meaningful results.

Why dplyr and tidyr?

dplyr and tidyr are part of the renowned tidyverse collection of R packages. They've revolutionized data manipulation in R by providing a consistent and readable syntax. With dplyr and tidyr in your toolkit, you'll spend less time struggling with data formats and more time uncovering insights. These packages are essential for any R user working with data.

Advance Your Data Science Career

Proficiency in data manipulation is a critical skill for data analysts and data scientists. By mastering dplyr and tidyr, you'll be well-equipped to tackle the data wrangling challenges you'll face in your data career. You'll work more efficiently, write cleaner code, and be able to seamlessly collaborate with other tidyverse users.

Start Manipulating Data with Confidence

Whether you're a beginner looking to build a strong data science foundation or an experienced analyst seeking to upgrade your skills, this Track will help you become a data manipulation expert. Get ready to transform the way you work with data in R.

Programme Structure

Courses include:

  • Data Manipulation with dplyr 
  • Joining Data with dplyr 
  • Reshaping Data with tidyr
  • Case Study: Exploratory Data Analysis in R
  • Bonus: Identifying Flight Duration Trends in Air Travel

Key information

Duration

  • Part-time
    • 2 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

  • There are no prerequisites for this track
  • This Track is suitable for beginners. Although knowledge of R is useful, the courses are designed to be accessible to those with limited prior programming experience.
  • This Track is well-suited to individuals whose jobs involve extracting, manipulating, and analyzing data as part of their job responsibilities. Jobs in research, engineering, and finance, for instance, stand to benefit greatly from the skills developed in this Track.

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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