Mathematics for Data Science & AI

🌟 Course Overview

This program provides the mathematical foundations essential for every data scientist and AI engineer. By focusing on linear algebra, probability, statistics, and calculus, the course connects theory directly to machine learning applications. You will learn how to apply math to algorithms like regression, PCA, and neural networks, and gain confidence in building data-driven solutions.

📚 What You’ll Learn

• Linear algebra for vectors, matrices, eigenvalues in ML

• Probability & statistics for data modeling and inference

• Calculus for optimization and gradient descent

• Information theory: entropy, KL divergence

• Applications: PCA, regression, classification models

🎯 Who Is It For?

Data analysts, aspiring data scientists, ML engineers, and students entering AI fields.

Duration: 6 weeks | Format: Online, self-paced |