Session 4 | Linear Regression Analysis with R Software

Beyond the Straight Line: Mastering Predictive Rigor.
In the fourth installment of our project-based bootcamp, we tackle one of the most powerful and widely used tools in a data scientist’s arsenal: Linear Regression. While many can run a basic model, few can master the statistical nuance required to drive high-stakes business decisions.

This session transitions from basic execution to critical mastery. You will learn to navigate the complexities of real-world data, diagnose model failures, and optimize your workflows using the industry-standard R environment.

🚀 Learning Outcomes: What You Will Master

By the end of this intensive session, you will be equipped to:

* Critically Evaluate Models: Assess the assumptions, limitations, and applicability of simple and multiple linear regression models across complex real-world datasets.
* Implement Robust Workflows: Design and implement statistically robust regression workflows in R, including data preprocessing, feature engineering, model specification, and validation.
* Interpret with Authority: Interpret and justify model coefficients, confidence intervals, effect sizes, and inferential statistics to support evidence-based decision-making
* Diagnose & Resolve Issues: Diagnose and resolve multicollinearity, heteroscedasticity, non-linearity, and influential observations using advanced diagnostic techniques in R.
* Optimize Performance: Compare, select, and optimize regression models using goodness-of-fit metrics, cross-validation, and information criteria (AIC/BIC).

🔍 Who Should Attend?
This session is designed for Intermediate Data Science Practitioners and Business Analysts who want to move beyond "black-box" modeling and develop a deep, defensible understanding of their data’s predictive power.

📅 Event Details
Date & Time : 26th Feb, 2026 | 2:30 PM CET Via Microsoft Teams

Tools Required: R and RStudio

⚡ Why This Session Matters
Linear regression is the foundation of predictive analytics. However, without proper diagnostics and optimization, models can lead to costly errors. This session ensures your models aren't just "accurate"—they are statistically sound and scientifically valid.

Don’t just run models. Master them.

Register Now : https://events.teams.microsoft.com/event/e0848c2f-f9e3-43c1-975f-d4b25096cc34@ed31f069-7ac4-4605-b9ce-8587fd96e4cc