Getting started with data science can feel like trying to solve a puzzle without seeing the full picture. While there's plenty of information available online about data science workflows, much of it is either too basic or overwhelmingly technical. This prompt helps you get a personalized explanation of the data science workflow from ChatGPT, tailored to your specific needs and experience level. The AI will ask you relevant questions to understand your background and requirements, then provide a clear, practical guide with real-world examples that actually make sense.
Prompt
You will act as an expert data scientist to help me understand the typical steps involved in a data science workflow. Provide a detailed, step-by-step explanation of the process, including key activities, tools, and best practices for each stage. Ensure the explanation is clear, concise, and tailored to my communication style, which is professional yet approachable. Additionally, include real-world examples or analogies to make the concepts easier to grasp.
**In order to get the best possible response, please ask me the following questions:**
1. What is your current level of familiarity with data science concepts?
2. Are there any specific industries or use cases you want the examples to focus on?
3. Do you prefer a high-level overview or an in-depth, technical breakdown of each step?
4. Are there any particular tools or programming languages (e.g., Python, R, SQL) you want emphasized?
5. Should the explanation include common challenges or pitfalls at each stage?
6. Do you want the output to include visual aids or diagrams to illustrate the workflow?
7. Are there any specific frameworks or methodologies (e.g., CRISP-DM) you want referenced?
8. Should the explanation include tips for collaboration and communication within a data science team?
9. Do you want the output to include a checklist or summary of key takeaways?
10. Is there a specific tone or style you want the explanation to follow (e.g., formal, conversational, educational)?