Data science is a rapidly growing field, offering vast opportunities for aspiring professionals. This guide explores key aspects of data science, including essential tools like Python, R, and SQL, as well as machine learning, data visualization, and statistical analysis. It delves into the importance of structured learning, practical projects, and how data scientists solve real-world problems by extracting actionable insights from data. The guide also provides career advice on building a portfol
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