From data to insight with AI
Step 1 / 3·Query data in natural language
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Learning objectives — after this module you will:
- Use AI to query and summarize HR data
- Check data quality before trusting it
- Tell a data story that leads to a decision
Query data in natural language
Use AI as an analyst assistant.
You don't need SQL or advanced statistics to start. With a (anonymized) data table, you can ask AI: 'which department has the highest attrition?', 'average tenure by level?', 'is any group's pay far off the band?'. AI helps compute, summarize, and suggest charts. But you must VERIFY important numbers and always anonymize data before putting it into a tool.
Garbage in, garbage out
Analysis is only as good as the input data. Before trusting any insight, ask: is the data complete? are there duplicates/missing values/format errors? is the sample large enough? AI can help spot anomalies, but you decide whether the data is trustworthy enough to act on.
Key takeaway: AI helps query and summarize data; always anonymize, check quality, and verify numbers.