Data Science Foundations with Python & SQL

Deliver the Community Meter decision pack

Combine code, checks and a careful recommendation in a complete local project.

Sign in to read this chapter

Use your existing SmartInterviewPro account to continue.

Log in to continue

The curriculum

  1. Ask a question the data can answer — Free preview

    Define a decision, an observation and a useful denominator before writing code.

  2. Make invalid records visible — Free preview

    Parse a small dataset into validated records without hiding rejected observations.

  3. Turn an analysis into a reusable function — Sign-in access

    Separate a calculation from input/output and check its boundaries.

  4. Join tables without multiplying the story — Sign-in access

    Use keys, grouped queries and reconciliation checks to make SQL results trustworthy.

  5. Describe variation before choosing a headline — Free preview

    Distinguish typical values, unusual observations and uncertainty about the future.

  6. Design a chart that survives questions — Sign-in access

    Choose clear units, honest scales and a comparison that answers the decision.

  7. Build a pipeline that fails informatively — Sign-in access

    Connect validation, aggregation and a deterministic output with explicit failure behavior.

  8. Deliver the Community Meter decision pack — Sign-in access

    Combine code, checks and a careful recommendation in a complete local project.