Data Science Fundamentals

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.