Data Science with Python

This course provides an in-depth introduction to data science using Python, a powerful programming language widely used in the field. Students will learn how to acquire, clean, analyze, and visualize data to derive meaningful insights. Key topics include Python programming basics, data manipulation with libraries like Pandas and NumPy, data visualization with Matplotlib and Seaborn, and an introduction to machine learning with Scikit-Learn. The course emphasizes hands-on practice through real-world datasets and projects, enabling students to apply data science techniques to solve practical problems. By the end of the course, students will have a solid foundation in data science and be able to utilize Python to analyze and interpret complex data sets. Prior experience with basic programming concepts is recommended.