Data Science Fundamentals provides a clear and practical introduction to the core concepts, tools, and techniques of data science. Designed for students and beginners, this textbook covers essential topics such as data collection, cleaning, visualization, statistical analysis, and machine learning. With real-world examples, Python-based implementations, and hands-on exercises, it bridges theory and practice, making it ideal for classroom learning or self-study. The book also explores ethical considerations and the role of data science in various industries, offering a well-rounded foundation for anyone entering the field.
