This course introduces students to essential programming concepts and tools required for data science. It focuses on developing proficiency in programming languages such as Python or R, commonly used for data analysis, visualization, and machine learning. Students will learn to write efficient code, manipulate data, perform exploratory data analysis, and create visualizations to uncover insights. Key topics include data structures, data cleaning, working with libraries like Pandas and NumPy, basic statistical programming, and integrating machine learning models. By the end of the course, students will have the skills to write robust code, automate workflows, and solve real-world data science problems using programming.