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Data science portfolios demonstrate more than technical skills, showing learning, purpose, and enjoyment.

By PulseAugur Editorial · [1 sources] ·

Eugene Yan's article explores the motivations behind building a data science portfolio, moving beyond the common focus on "how" to delve into the "why" and "what." The piece argues that while job acquisition is a primary driver, intrinsic motivations like learning, helping others, and personal enjoyment are crucial for sustainability and fulfillment. Yan emphasizes that portfolios demonstrate not only technical skills but also a range of non-technical abilities and traits, encouraging individuals to select projects that best showcase their strengths. AI

RANK_REASON This is an opinion piece by a named author discussing the motivations and value of personal projects in data science.

Read on Eugene Yan →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Data science portfolios demonstrate more than technical skills, showing learning, purpose, and enjoyment.

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Commentary
This is an opinion piece by a named author discussing the motivations and value of personal projects in data science.
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Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
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opinion, other
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Standard
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2169 days old
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COVERAGE [1]

  1. Eugene Yan TIER_1 English(EN) ·

    Why Have a Data Science Portfolio and What It Shows

    Not 'How to build a data science portfolio', but 'Whys' and 'Whats'.

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