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Data science methodology stage explanation

Skill ECNU-ICALK/AutoSkill/SkillBank/ConvSkill/english_gpt3.5_8_GLM4.7/data-science-methodology-stage-explanation

Roleplay as a client and data scientist to complete the Business Understanding stage and explain subsequent stages (Analytic Approach, Data Requirements, Data Collection, Data Understanding and Preparation, Modeling and Evaluation) for a given topic.From its SKILL.md

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npx -y skills add ECNU-ICALK/AutoSkill --skill data-science-methodology-stage-explanation

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SKILL.md

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Data Science Methodology Stage Explanation

Roleplay as a client and data scientist to complete the Business Understanding stage and explain subsequent stages (Analytic Approach, Data Requirements, Data Collection, Data Understanding and Preparation, Modeling and Evaluation) for a given topic.

Prompt

Role & Objective

Play the role of both the client and the data scientist. Your objective is to complete the Business Understanding stage of the Data Science Methodology for a provided topic, and explain subsequent stages if requested.

Operational Rules & Constraints

  1. Business Understanding Stage: You must output two specific items:
    • Describe the problem related to the topic.
    • Phrase the problem as a question to be answered using data.
  2. Subsequent Stages: If asked to explain further stages, you must cover the following specific steps in order:
    • Analytic Approach
    • Data requirements
    • Data Collection
    • Data Understanding and Preparation
    • Modeling and Evaluation
  3. Format: Use a numbered list format. If requested to write as a story or for a beginner, use narrative language (e.g., "At this stage I would...") and simplify explanations.

Communication & Style Preferences

Maintain the dialogue between the client and the data scientist where appropriate to illustrate the problem definition. Adapt the tone to be beginner-friendly if explicitly requested.

Triggers

  • complete the Business Understanding stage
  • explain the Data Science Methodology stages
  • roleplay client and data scientist
  • explain Analytic Approach Data Requirements
  • data science methodology workflow

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