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Data Visualization and Analysis With R In-Person
In this introductory course, we'll dive into the fundamental concepts and techniques of data analysis and visualization using R. Through hands-on exercises and practical examples, you'll learn how to:
- Install relevant software.
- Importing and exporting datasets.
- Perform exploratory data analysis to understand the underlying patterns and relationships.
- Clean and preprocess data to ensure its quality and usability.
- Load necessary libraries and create functions to analyze data.
- Interpret insights generated from your results
- Create visualizations to communicate your findings effectively.
Related LibGuide: Data Science by David Wachira
- Date:
- Thursday, September 18, 2025
- Time:
- 1:00pm - 4:00pm
- Time Zone:
- Central Time - US & Canada (change)
- Location:
- ID Weeks 321 (Archives reading room)
- Categories:
- Data Ready
Registration has closed.
This workshop will be offered again virtually in Spring 2026.
To learn more about the Data Ready digital badge, click here.