108 Data Analysis
108.10 Data Analysis - Phases of data analysis

Phases of data analysis

There are different opinions on the distinct phases of data analysis. Sources like 20200622 Wharton Customer Analytics and 20200623 Coursera John Hopkins Data Science have slightly different opinions. As such, these are not "rules" just suggestions.

My own experience is based on, but slightly different than, Wharton and John Hopkins, largely based on prior experience at Lucky8 20200706 Lucky8 notes (clustered). This page is organized from my own experiences, with strong doses of academia influence.

Timing for data analysis

108.10.05 Data Analysis - Timing for data analysis projects

Phases of data analysis

  1. Smart Questions & Good Data.
    108.10.10 Data Analysis - Step 1 smart questions and proper data
  2. Data Ingestion & Validation
    108.10.20 Data Analysis - Step 2 ingest clean validate
  3. Data Exploration & Structural Analysis
    108.10.30 Data Analysis - Step 3 exploration and structural analysis
  4. Model Creation & Predictions
    108.10.40 Data Analysis - Step 4 model creation and prediction
  5. Outputs: Spreadsheets and Presentations
    108.10.50 Data Analysis - Step 5 outputs and presentations
  6. Post-mortem: wrap up
  7. 108.10.60 Data Analysis - Project post-mortem

Best practices for data analysis

108.10.70 Data Analysis - More data analysis best practices

  • Me