Data science is a highly sought-after career path due to its ability to extract valuable insights from large amounts of data. Despite its promising prospects, many aspiring data scientists face challenges. In this article, we explore five common difficulties and provide actionable solutions to overcome them.
Lack of Solid Foundation in Mathematics and Statistics

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Inadequate Practical Application and Projects

Skipping Foundational Concepts

Neglecting Soft Skills and Domain Knowledge

Conclusion
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