Track
Data Manipulation in R
Обновлено 03.2026
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RData Manipulation16 ч6,825
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Data Manipulation in R
Master Data Manipulation with dplyr and tidyr
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 Track, you'll learn the key functions of these packages, enabling you to expertly extract, filter, and transform 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.Предварительные требования
Для участия в этом курсе никаких предварительных требований нет.Course
Build Tidyverse skills by learning how to transform and manipulate data with dplyr.
Course
Transform almost any dataset into a tidy format to make analysis easier.
Course
Learn to combine data across multiple tables to answer more complex questions with dplyr.
Project
Exploring flight data from NYC using advanced data joining techniques in R.
Course
Use data manipulation and visualization skills to explore the historical voting of the United Nations General Assembly.
Data Manipulation in R
4 Courses
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