Science - Course - Introduction to Data Science

This course provides students with a comprehensive introduction to the dynamic and rapidly evolving field of data science. Through a combination of theoretical lectures, hands-on exercises, and practical applications, students will gain a foundational understanding of key concepts and methodologies essential for working with data effectively. Topics include: data acquisition, data pre-processing, data preparation, feature extraction, data analysis, pattern recognition, data visualization, and data ethics and privacy.. Pre-req.: MATH242.