Data Science In Action: Session 5 | Mastering Linear Regression Analysis

Data Science In Action: Session 5 | Mastering Linear Regression Analysis

Date & Time: 4th, April 2026 | 2:30 PM CET Via Microsoft Teams

Regression is more than just "drawing a line through dots." It is the foundational language of predictive modeling and the secret behind how businesses forecast trends, evaluate risks, and make data-driven decisions.

In Session 5 of our Data Science In Action Bootcamp, we move from exploration to estimation. We will dive deep into the mechanics of Linear Regression, teaching you not just how to build a model, but how to ensure it is statistically sound and reliable.

What You Will Achieve:

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

* Understand the Concept of Regression Analysis: Grasp the theoretical framework behind predicting dependent variables.
* Apply the Ordinary Least Squares (OLS) Method: Master the mathematical engine that minimizes the sum of squared residuals.
* Develop and Interpret Regression Models: Build models from scratch and translate coefficients into business insights.
* Evaluate Model Fit and Statistical Significance: Use $R^2$, p-values, and F-statistics to prove your model actually works.
* Use Statistical Software for Regression Analysis: Execute professional-grade workflows using industry-standard tools (R Software).
* Interpret Residuals and Model Errors: Interrogate your "leftover" data to identify bias and improve accuracy.

Who Should Attend?
Linear Regression is the "gateway" to Machine Learning. Whether you are aiming to be a Data Scientist, a Financial Analyst, or a Researcher, mastering the OLS method and Residual Analysis is non-negotiable for building credible, defensible models.

Once Registered, Please Save:
Microsoft Teams meeting
Join: https://teams.microsoft.com/meet/36387064532691?p=f8PFV6Kkquz008rrGW
Meeting ID: 363 870 645 326 91
Passcode: HU6Lf6ZD