DS301: Problem Framing & Exploratory Analysis

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SFIA Reference: DTAN Level 4/5

Data Scientist (Grade 3)

Competency Description

Frames analytical problems in collaboration with stakeholders and conducts exploratory data analysis to surface patterns, correlations, and anomalies.

Learning Outcomes

  • Define problem statements from business goals.
  • Perform data exploration using Python, SQL, or Power BI.
  • Identify trends, data gaps, and hypotheses to pursue.

Evidence Requirements

Level 4:

  • Created exploratory visuals or profiling reports for a business domain.
  • Demonstrated clear problem definition linked to data. Level 5:
  • Led an exploratory analysis initiative that informed modelling or business strategy.
  • Mentored others in EDA techniques or data storytelling.

Suggested Learning Activities

  • Internal workshop: EDA on a shared dataset using Jupyter or Power BI.
  • Reflection: Document how exploration shaped a business question.
  • Participate in a problem-framing design sprint.

Recommended Resources

  • KnowHow: “EDA Templates and Patterns”
  • Book: “Storytelling with Data” by Cole Nussbaumer Knaflic

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