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Data Manipulation in R

Take the pain out of data manipulation using dplyr and tidyr. Learn how to transform, sort, and filter your data, ready for quick analysis.
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RData Manipulation16 hours4,164

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Track Description

Data Manipulation in R

Real-world data is messy. That’s why packages like dplyr and tidyr are so valuable. Using these packages, you can take the pain out of data manipulation by extracting, filtering, and transforming your data, clearing a path for quick and reliable data analysis. If you want to improve your data wrangling skills, this is the track for you. You’ll learn how to prepare real-world data for analysis and grow your expertise as you work with multiple tables. You’ll also gain hands-on experience of how to combine, merge, and create visualizations. You'll apply your new-found data manipulation skills using dplyr to analyze voting data from the United Nations. Start this track and discover how dplyr and tidyr can save you time manipulating data.

Prerequisites

There are no prerequisites for this track

  • Course

    1

    Data Manipulation with dplyr

    Build Tidyverse skills by learning how to transform and manipulate data with dplyr.

  • Course

    3

    Joining Data with dplyr

    Learn to combine data across multiple tables to answer more complex questions with dplyr.

  • Project

    bonus

    Identifying Flight Duration Trends in Air Travel

    Exploring flight data from NYC using advanced data joining techniques in R.

Data Manipulation in R
4 courses
Track
Complete

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