Data Analysis learning roadmap

Turn ambiguous questions and messy data into trustworthy, decision-ready products.

7 modules About 76 hoursFree curated resources

What you will learn

  1. 01

    Exploratory Data Analysis

    Translate a stakeholder question into defined metrics, profile the data, and produce a reproducible analysis plan.

    Question & metric framing · Data profiling · Analysis planning

    10h
  2. 02

    Data Visualization

    Choose honest visual encodings and produce accessible charts that make the comparison and uncertainty clear.

    Chart selection · Honest encoding · Accessible visualisation

    10h
  3. 03

    Dashboard Design

    Build a focused dashboard that answers three defined questions on desktop and mobile without hiding context or accessibility.

    Decision-led layout · KPI definitions · Accessible interaction

    10h
  4. 04

    Data Storytelling

    Turn analysis into a concise recommendation that separates evidence, uncertainty, limitations, and the decision required.

    Executive synthesis · Evidence & uncertainty · Recommendation delivery

    8h
  5. 05

    Governed BI Delivery

    Prepare data with Power Query, model facts and dimensions, write dependable DAX measures, and publish a governed report.

    Power Query · Semantic models & DAX · Security & refresh

    12h
  6. 06

    AI-Assisted Analysis

    Use AI to accelerate an analysis while preserving reproducibility, privacy, source traceability, and human accountability.

    AI-assisted workflow · Claim verification · Audit trail

    8h
  7. 07

    Decision Intelligence Capstone

    Release a cumulative development-outcomes decision product that joins public indicators, exposes uncertainty, and gives a real stakeholder a defensible next action.

    Reproducible evidence chain · Decision-ready product · Governed release

    18h