Mathematics-Basics to Advanced for Data Science And GenAI

Build Strong math foundation with linear algebra,stats,probability,differential calculus for mastering data science

4.6 ★★★★★25,439 studentsCreated by Krish Naik, KRISHAI Technologies Private LimitedLast updated Dec 12, 2025🌐 English

What you'll learn

✓Master Calculus: Understand derivatives and integrals, and apply them in optimizing machine learning algorithms and data analysis tasks.

✓Learn Linear Algebra: Grasp vectors, matrices, and eigenvalues, essential for building and understanding advanced data science models.

✓Understand Probability: Dive into probability theory, crucial for making informed predictions and working with uncertainty in data.

✓Apply Statistics: Gain practical skills in statistical analysis, helping you make data-driven decisions and interpret results effectively.

Requirements

•Basic Understanding of High School Math: Familiarity with basic algebra, geometry, and arithmetic operations will help you grasp the course material more effectively.

•Curiosity About Data Science: A keen interest in learning how mathematics is applied in data science will enhance your engagement with the content.

•No Prior Programming Experience Required: While some familiarity with programming is helpful, it's not mandatory. Mathematical concepts will be the main focus.

•Willingness to Practice: Be ready to work through exercises, quizzes, and projects to reinforce your understanding and gain practical experience.