Prompt Engineering for Data Analysis -From Raw Data to Insights with AI

Accidental upload of sensitive company data to a public AI model.

Strictly use mock data for practice, and only use approved Enterprise AI solutions or local LLMs for real company tasks. Never paste raw rows of data.

AI hallucinating SQL syntax or joining tables incorrectly based on assumptions.

Always run AI-generated SQL in a safe testing environment (sandbox) first, and manually review the JOIN conditions before trusting the output.

AI-generated Python/R code may use deprecated libraries or inefficient loops.

Specify in your prompts to use 'modern, vectorized operations in Pandas/dplyr' and avoid standard iterators where possible.