This course introduces students to real-world data science and artificial intelligence through Python programming and hands-on projects. Students will explore industry-relevant tools such as Jupyter Notebooks and Kaggle, the world's largest platform for data science competitions. With guidance, they’ll learn how to build their own machine learning models—from simple decision trees to introductory neural networks—and apply them to real datasets.

By the end of the course, students will understand how AI can be used to analyze patterns, make predictions, and solve meaningful problems. Whether working on individual projects or submitting as a team to Kaggle’s beginner competitions, students will gain both technical and soft skills such as data literacy, logical thinking, and teamwork.

This is an excellent introduction for students interested in data science, AI, or competitive coding.