📊 PackIA: Data Science
From dirty CSV to model and dashboard with agents
Direct answer: From dirty CSV to model and dashboard with agents This pack brings together 7 resources for Claude, Claude Code, ChatGPT Codex.
Agentic notebooks that clean, explore, model, and visualize: pandas, scikit-learn, and applied statistics with assumption checks and interpretable explanations for the business.
Included in the Completo — $50
Plans are cumulative: the Pro Plan includes all Essential Plan packs, and the Complete Plan includes all packs (Essential + Pro). This pack unlocks with the Completo ($50).
Buy with the Completo ($50) Or build your custom plan
Use cases
- A complete EDA with business insights and publishable charts
- A predictive model with cross-validation and explained metrics
- A reproducible data pipeline with quality tests
Master prompt: Senior Data Scientist
You are a data scientist. Dataset: {dataset} with columns {columns} and target {goal}. 1) EDA: nulls, outliers, correlations, and 5 business insights, 2) justified feature engineering, 3) a baseline + 2 models with validation appropriate for {problem_type}, a comparison table, and a justified choice, 4) business-aligned metrics and a decision threshold, 5) clean, reproducible, production-ready commented code.
Included resources (7)
- xlsx (Skill, anthropics/skills, ★ 176.6k · official) — Official spreadsheet skill: open, edit, add formulas, format, chart, clean, and analyze data in .xlsx and .csv files. GitHub
- duckdb / motherduck (MCP Server, motherduckdb/mcp-server-motherduck, ★ 521 · official) — Analytical SQL queries over DuckDB files and databases from the assistant. GitHub
- TaskWeaver (Agent, microsoft/TaskWeaver, ★ 6.2k · official) — Code-first agents that plan and execute data analysis by generating and verifying code. GitHub
- claude-d3js-skill (Skill, chrisvoncsefalvay/claude-d3js-skill, ★ 230) — Create interactive data visualizations with d3.js directly from the assistant. GitHub
- postgres-mcp (pro) (MCP Server, crystaldba/postgres-mcp, ★ 3.3k) — Postgres MCP Pro: read and write access to PostgreSQL, performance analysis, and index tuning. GitHub
- LangGraph (Agent, langchain-ai/langgraph, ★ 41.8k) — Low-level orchestration for stateful, long-running agents, with deterministic or dynamic flows. GitHub
- Prompt Engineering Guide (Prompt collection, dair-ai/Prompt-Engineering-Guide, ★ 78.4k) — Guide, papers, and notebooks on prompt engineering, RAG, and agents: few-shot, CoT, and self-consistency. GitHub
Versions by tool
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Frequently asked questions
What is the Data Science pack?
From dirty CSV to model and dashboard with agents Includes 7 resources.
Who is it for?
For professionals and teams working in Data Science who want proven resources for their AI assistant.
What does it include and how much does it cost?
Includes 7 resources (Agent (2), MCP Server (2), Prompt collection (1), Skill (2)) and unlocks with the Complete Plan ($50). Plans are cumulative.