Description
This course introduces students to the use of Python programming for data analytics, enabling them to collect, process, analyze, and visualize data effectively. Students will learn Python fundamentals, data structures, libraries, and tools commonly used in data analysis, including Pandas, NumPy, Matplotlib, Seaborn, and Jupyter Notebooks. Through hands-on exercises and projects, students will develop practical skills to analyze real-world datasets and communicate findings effectively. Prerequisites: COMP 3322. You must have earned 60 credit hours before registering for this course.