<ul><li>Establishing a career in data science is an exciting yet overwhelming journey, and many people struggle to stay on track, often skipping important steps along the way.</li><li>Beginners in data science often make the mistake of jumping into technicalities without fully understanding foundational knowledge, causing confusion and frustration.</li><li>Neglecting the importance of math and statistics is a common mistake made by beginner data scientists, as these concepts are fundamental to data science.</li><li>To avoid mistakes, it is essential for data aspirants to develop a strong foundation in math and statistics and continuously improve their skills in these areas.</li></ul>

5 Mistakes Every Data Aspirant Makes in the Beginning & How to Avoid Them

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