This course provides an in-depth introduction to data science and machine learning. Students will explore key concepts such as data preprocessing, statistics, and probability, as well as a variety of machine learning techniques. The course covers supervised and unsupervised learning algorithms, deep learning, model evaluation, and deployment. By the end of the course, students will have the skills to build, evaluate, and deploy machine learning models in real-world applications.