This course offers a comprehensive introduction to the world of data science, covering essential concepts such as data analysis, statistics, and machine learning. Students will learn about the data science workflow, including data collection, cleaning, visualization, and interpretation. The course will also introduce popular tools like Python and SQL, providing hands-on experience with libraries such as Pandas, NumPy, and Matplotlib. By the end of the course, learners will have a solid foundation in data science and be prepared to advance into more specialized areas such as machine learning and big data analytics.