Data Visualization with Python

Catalog description

This is a course designed to equip students with the skills and knowledge needed to create compelling and insightful visual representations of data using Python. This course covers the principles and best practices of data visualization, offering hands-on experience with popular Python libraries such as Matplotlib, Seaborn, and Plotly. Throughout the course, students will learn to transform raw data into meaningful charts, graphs, and interactive visualizations that facilitate data-driven decision-making. Key topics include data preprocessing, exploratory data analysis, visualization techniques for different types of data, and storytelling with data. This course is ideal for students in data science, analytics, and related fields who want to enhance their ability to present data in a clear and impactful manner. Prerequisites include basic knowledge of Python programming and familiarity with data analysis concepts.