A strong data science portfolio focuses on quality, clarity, and real-world impact, not just the number of projects. Employers are looking for evidence of problem-solving skills, clean and efficient code, effective communication, and a solid grasp of the entire data science workflow. Whether through end-to-end projects, compelling data storytelling, or well-documented GitHub repositories, your portfolio should highlight how you approach problems and the value you can deliver. Enrolling in a top
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