The Data Science and Analysis course is designed to help learners understand, analyze, and interpret data to make informed decisions. This course covers the complete data science workflow—from data collection and cleaning to visualization and predictive modeling. Students will gain hands-on experience using Python, Pandas, NumPy, and visualization tools such as Matplotlib and Power BI. The course introduces key concepts in statistics, machine learning, and data-driven decision-making, providing a balance between theory and practical application. Learners will also explore real-world datasets to uncover insights and build data-driven solutions. By the end of the course, participants will be able to clean and analyze raw data, visualize trends, build simple predictive models, and communicate findings effectively. This course is ideal for beginners and professionals seeking to develop practical data science skills applicable in business, research, and technology-driven industries.