This course equips Data Science students with the skills to identify, define, and explore various data science challenges. Students will engage with practical projects and expert guidance throughout the course, preparing them for the capstone project. This course includes advanced data handling, machine learning algorithms, model evaluation, and ethical considerations in data science, culminating in real-world project presentations. Prerequisite: DATA 3402, DATA 3421. DATA 3461 or current enrollment in DATA 3461, or permission of the instructor.