38-Data Science and Analytics
A data science and data analytics course provides a comprehensive overview of the methods and tools used to analyze large datasets and derive meaningful insights. The course typically covers topics such as statistical analysis, machine learning, data visualization, and programming languages like Python and R. Students learn how to process, clean, and interpret data to support decision-making in various industries. The curriculum often includes hands-on projects and case studies to develop practical skills in analyzing real-world data.