22-Data Science and Analytics
Data Science and Analytics is a comprehensive course designed to equip students with the knowledge and skills necessary to extract meaningful insights from large datasets. The course covers key concepts such as data collection, cleaning, and preprocessing, along with exploratory data analysis. Students will learn to apply statistical methods, machine learning algorithms, and data visualization techniques to analyze complex data and make data-driven decisions. Emphasis is placed on practical applications using tools like Python, R, and SQL. By the end of the course, students will be capable of designing and implementing data-driven solutions across various domains.