Embarking on the path of mastering data science requires a robust understanding of both theoretical concepts and practical applications. A strong basis in statistics is essential, as these disciplines form the bedrock for data analysis and modeling. Furthermore, hands-on experience with programming tools such as Python or R is crucial for impleme