Data Science Fundamentals introduces learners to the core principles of extracting insights from data using statistical methods, programming, and visualization tools. This course covers data collection, cleaning, and analysis techniques using accessible platforms like Python and R, without requiring prior technical expertise. Students explore real-world examples such as predicting trends or understanding customer behavior, all while learning ethical data handling practices. Emphasis is placed on critical thinking and clear communication of results to non-technical audiences. No advanced mathematics is required—only curiosity and a willingness to ask questions. By the end, learners will be able to interpret data visualizations, identify patterns, and make informed decisions based on evidence, laying a strong foundation for further study in analytics or related fields.