Beginners should start by learning Python programming and data handling libraries (pandas, NumPy). Grasp essential mathematics (statistics, probability), then move into data analysis and visualization. This course can introduce these core concepts, guiding students through hands-on projects using real datasets and tools like Jupyter Notebooks, making the learning process interactive and practical.