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How crucial is hands-on experience and personal projects for a Data Science newcomer to stand out to employers?

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Hands-on experience and personal projects are crucial for gaining practical knowledge and standing out as a fresher in Data Science. They demonstrate a candidate's ability to apply theoretical concepts, problem-solve, and work independently. Such projects showcase practical skills to potential employers, making you a more attractive candidate and helping bridge the gap between academic learning and real-world applications in the field.

If you are interested in getting into this field, then check out this video about Bhavana and how she easily learned data science being a fresher with the help of Intellipaat’s Advanced Certification in Data Science and AI.

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