This course provides a comprehensive introduction to data science, equipping you with the essential skills and knowledge to analyze, interpret, and visualize data. Starting with the fundamentals, students will learn key programming languages such as Python and R, and gain proficiency in data cleaning, preparation, and preprocessing techniques. The course covers various data visualization tools, statistical analysis methods, and machine learning algorithms essential for predictive modeling. Additionally, you will explore data mining techniques and database management, including SQL . Through hands-on projects and real-world applications, you will develop practical skills and experience in tackling data-driven problems across various domains.