The landscape of data science skills has evolved significantly over the past decade, transitioning from foundational tools like SQL and R to the dominance of deep learning and cloud computing. While some technologies, such as Hadoop and XgBoost, have seen their relevance wane, others like MLOps and responsible AI are here to stay. As datasets grow larger and more complex, mastering cloud skills becomes essential for any aspiring data professional.
