Data Sciences.

Catalog description

In this course, students will receive a comprehensive introduction to data science, covering key topics such as data collection, cleaning, exploration, and visualization. Students will learn the Python programming language and its practical applications in data science, gaining hands-on experience with real-world datasets. Through a series of projects, students will practice building predictive models, extracting insights, and effectively communicating their findings. By the end of the course, students will have a solid foundation in data analysis and data-driven decision-making, preparing them for careers in data science and analytics across a wide range of industries. Prerequisite: EG1294 or EG1213.