Which Skills Should Beginners Learn First for a Data Science Career?

Data science is changing quickly as AI tools become more common. For a beginner, it can be difficult to know which skills matter most and what order to learn them in. Should I focus first on Python, SQL, statistics and data visualisation before moving into machine learning and AI tools? Or is it better to start using AI-related tools from the beginning? For those already working in data science or related roles, what practical skills would you recommend for someone hoping to build a strong portfolio and eventually get an entry-level job? How have employers’ expectations changed in recent years?

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