4 prompts
Analyze this data and tell me what decisions it supports. Summarise the key trends, anomalies, and comparisons, then give 3 recommended actions with the evidence for each and what additional data would increase confidence. Data: [paste data]
Turns a data export into insights and recommended decisions.
Act as a data analyst using Python and pandas. Data: [file type and columns with example values] Questions I want answered: [list] Issues I know about: [missing values, inconsistent formats] Write a script or notebook steps to: 1. Load and inspect the data 2. Clean it (types, missing values, duplicates, outliers) 3. A…
Load, clean, analyse and chart your data with pandas, with explanations for each step.
Act as a coding mentor. What I want to learn: [language/framework] My experience: [none / other languages] Goal: [job, side project, data analysis, game dev] Time: [hours per week] Create a 12-week roadmap: weekly topics, key concepts, one small project per week, free resources to look for (types, not specific links i…
A structured, project-based learning path for any language or framework, matched to your goals and available time.
Act as a SQL expert. Database: [MySQL / PostgreSQL / SQLite / SQL Server] Tables: [table_name](column1 type, column2 type, ...) [table_name](...) What I want: [describe the result in plain English, e.g. "top 10 customers by total spend in 2025, with their order count"] Please: 1. Write the query with clear aliases and…
Describe the data you need in normal words and get a correct, readable SQL query with an explanation and performance tips.