Data Management in R
Mastering Data Handling, Analysis, and Visualization with R Programming
Created by Sage Publishing Limited, Martin Elff
Explore practical data management and analysis techniques using R programming. Build confidence in handling, cleaning, and visualizing a wide range of data types, from simple tables to complex survey and spatial data. Gain hands-on experience with popular R packages for real-world applications.
Sage Publishing | Mar 2026 | 272 min
What You Will Learn
You will start by working with basic data structures and gradually move on to more advanced topics like managing survey and spatial data. Through practical examples and hands-on exercises, you will use R packages such as tidyr and quanteda to apply best practices in data cleaning, transformation, and visualization.
Key Features
- Manipulate and clean data efficiently using R's core functions and popular packages
- Work confidently with survey, spatial, and time series data for deeper analysis
- Visualize and summarize data to uncover insights and support decision making
Target Audience
Designed for data professionals, researchers, and analysts who have some programming experience and want to deepen their skills in R. If you are looking to manage, analyze, and visualize complex datasets more effectively, especially for statistical or research projects, you will find this course especially valuable.
