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๐ŸŽ‰ Event Announcement: UNILORIN R Users Group Meetup Series
๐Ÿ“Œ Event Theme: Predicting the Unpredictable: Regression for Real-World Problems
๐Ÿ“… Date: Friday, December 19, 2025
โฐ Time: 4:30 PM WAT
๐Ÿ“ Venue: Youtube Live

Join us for another insightful session in the Unilorin R User Group Meetup Series. This edition focuses on how to use R to explore relationships among variables and build predictive models that address real-world challenges. The session is designed to guide participants from foundational concepts to practical application, ensuring a smooth learning experience.

๐Ÿ” Audience Takeaways
Participants will gain hands-on understanding and practical skills for integrating AI tools into R. Key learning points include:

  • Correlation Analysis in R: Start with the basics by examining how two variables move together. Youโ€™ll learn how to compute and interpret correlation coefficients and understand when correlation can hint at predictive potential.
  • Introduction to Regression in R: Building on correlation, youโ€™ll be introduced to regression as a more powerful tool for quantifying relationships and making predictions. This section explains what regression is, why it matters, and how it improves on simple correlation.
  • Core Regression Techniques: Deepen your understanding through hands-on exploration of simple linear regression, multiple regression, and essential model diagnostics. Youโ€™ll learn how to check assumptions, measure model performance, and interpret outputs accurately.
  • Data Analysis Workflow for Predictive Modelling: See how everything fits together as you walk through a full workflow: importing data, cleaning and preparing it, exploring patterns, building models, and evaluating results using tidyverse tools.
  • Real-World Use Case: Predicting Outcomes with R: Finally, apply what you've learned to a real dataset. This case study demonstrates how regression models can address real-world questions and support data-driven decision making.

This session is designed to be practical, engaging, and accessible for participants at all levels. Youโ€™ll leave with a solid understanding of how to move from identifying relationships in data to building reliable predictive models using R.

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Big Data
Data Mining
Data Science using R
Applied Statistics
Programming in R

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