Data Science: Complete End-to-End Guide Table of Contents Introduction What Is Data Science and Why Does It Matter? The Data Science Lifecycle: From Raw Data to Insights Python for Data Science: Essential Libraries and Tools Data Analytics, EDA, and Data Visualization Machine Learning: Regression, Classification, and Clustering Feature Engineering and Model Evaluation Real-World Applications of Data Science Data Science Projects: Turning Theory into Practice Data Science Care