Start with clean data

Before machine learning, organize your data in spreadsheets or databases. Fix duplicate rows, inconsistent dates, unclear categories, and missing values.

Use AI for analysis support

AI can summarize trends, explain formulas, generate dashboard ideas, create report drafts, and suggest questions to investigate. This is often enough for early business use cases.

What to learn next

  • Spreadsheet formulas and pivot tables.
  • Basic charting and dashboard design.
  • SQL for structured data.
  • Python only when analysis needs automation or larger datasets.

FAQ

Do I need Python to start data analysis?

No. Many useful business workflows can start with spreadsheets, clean data, and AI-assisted summaries.