Setting Up Your Analytics Workspace
Before diving into datasets, it helps to have a consistent workspace so every analysis doesn't start from a blank slate. This reading covers the minimal setup used in this course.
Keep Raw Data Separate From Working Data
Never edit a raw data file directly. Copy it into a working version first, so you can always trace back to the original if something looks wrong later.
Document Your Cleaning Steps as You Go
Write down every filter, join, and transformation as you apply it — not from memory afterward. Six months later, this log is the only way to reproduce your own analysis.
One Place for Finished Charts and Dashboards
Keep a single folder or dashboard tool where finished, trusted outputs live, separate from exploratory scratch work. Stakeholders should never stumble onto an unfinished chart.
Practical Review Checklist
Before moving on, confirm that you can:
- State the primary objective in one clear sentence
- Identify the assumptions that still need evidence
- Choose a small set of meaningful success measures
- Explain the process to another person without hidden steps
- Record what should be reviewed during the next iteration
Conclusion
None of this requires expensive tooling — a clear separation between raw, working, and finished data will save more time than any single analytics tool will.