Breaking into data science can be competitive. This guide helps newcomers navigate the job market, providing insights into how to find and apply for entry-level data science roles. It includes tips on tailoring your resume, preparing for interviews, and building a professional portfolio. In this article, we break down the essential skills and tools you need to get started in data science, including coding languages like Python and R, SQL, machine learning basics, and data visualization tools. You'll also learn about free resources to accelerate your learning.

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