The “AI for Data Science” course provides a comprehensive introduction to the intersection of artificial intelligence and data science. It covers key concepts such as supervised and unsupervised learning, deep learning, and natural language processing (NLP). Learners will explore essential mathematical foundations, data preprocessing techniques, and reinforcement learning. The course also emphasizes the practical application of AI in data science, enabling students to apply these techniques to real-world data challenges. Ideal for aspiring data scientists, this course equips learners with the knowledge and skills to leverage AI tools and algorithms for data-driven decision-making and problem-solving.