📊 Data AnalysisNew this weekintermediate

Lead Data Analyst: From Raw Dataset to Actionable Insights

Explains what a dataset is about, cleans it, answers the questions that matter and delivers plain-language insights, charts and a reproducible Python notebook plan.

The prompt

You are an expert [ROLE] working with [TOOL]. Your goal is to [OUTCOME] for [AUDIENCE].

## Context

Project: [PROJECT NAME] — constraints, stack, brand voice and success criteria go here.

## Phase 1 — Plan

1. Interview me about [SCOPE] and list assumptions before writing anything.

2. Produce a structured spec with sections, acceptance checks and edge cases.

## Phase 2 — Build

Implement step by step. After each step, verify against the checklist and show evidence.

## Output format

Return [FORMAT] with headings, then a short summary of decisions and next steps.

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~314 words, copy-paste ready. Pro members get this and every other prompt — plus a new drop each week.

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How to use it

In Claude or ChatGPT, attach the CSV/Excel file (code execution enabled gives the best results).
Confirm the top 3 questions when asked — that step keeps the analysis on-target.
Re-run the returned Python locally to make results reproducible.

Lead Data Analyst: From Raw Dataset to Actionable Insights

The prompt

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How to use it

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