『The Effective Data Scientist』のカバーアート

The Effective Data Scientist

The Effective Data Scientist

著者： Alexander Schacht and Paolo Eusebi
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Do you want to boost your career as a data scientist? Our podcast helps you in achieving this by teaching you relevant knowledge about all the different aspects of becoming a more effective data scientist.Alexander Schacht 博物学 科学 自然・生態学
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  • Using Frameworks for Prompts for Better Outcomes

    Using Frameworks for Prompts for Better Outcomes
    2026/06/12
    How can you get better, more reliable results from AI? In this episode, Paolo and Aziza explore why effective prompting is about much more than asking good questions. We discuss how structured prompting frameworks such as ROSES, CRISP, CARE, TRACE, and APE can help data scientists provide clearer instructions, reduce ambiguity, and improve the quality of AI-generated outputs. We also share practical examples of applying these frameworks to real-world data challenges and discuss why designing how AI should think is often more important than the answer itself.
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    21 分
  • Alexander and Team on What Leadership Means in Data Science

    Alexander and Team on What Leadership Means in Data Science
    2026/05/29
    31 分
  • Relaunching The Effective Data Scientist: Beyond Code to Influence, Impact & Career Growth

    Relaunching The Effective Data Scientist: Beyond Code to Influence, Impact & Career Growth
    2026/04/24
    The Effective Data Scientist Podcast is back—and this time, it’s bigger, broader, and more impactful than ever.
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    14 分
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