Building a career in data science requires continuous learning and practical skill development. Beginners can start with Python and SQL before moving on to data visualization, statistical analysis, and machine learning. Exploring real-world use cases and completing hands-on projects can help learners understand industry requirements and strengthen their professional profiles.With the right...
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