Data Science
This course provides a comprehensive introduction to the principles and practices of Data Science and Analytics. It covers key concepts, tools, and techniques used to collect, analyze, and interpret large volumes of data to derive actionable insights. Students will explore data manipulation, statistical analysis, data visualization, and machine learning. The curriculum emphasizes both theoretical understanding and hands-on experience with real-world datasets. By the end of the course, students will be proficient in using popular programming languages such as Python or R, as well as data analytics tools like SQL, Excel, and visualization platforms like Tableau or Power BI.