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