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Course details

BI Analyst

Learn the job of a business intelligence analyst: pin down the real business question, define KPIs everyone computes the same way, design dashboards that tell a clear story, check the data is fit to trust, and model it in facts and dimensions. The whole course follows Weftwise, one online home-textile store.

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Course curriculum

Introduction to Business Intelligence3 lessons

Meet Weftwise and its first BI problem: three teams, three answers to one question. Learn what business intelligence is for, how the BI analyst differs from engineers, analysts and scientists, and the loop of work that fills a BI analyst's week.

  1. What BI Is and Why It Matters12 min
  2. BI Analyst vs Other Roles12 min
  3. Skills and Responsibilities12 min
Business Questions and KPIs4 lessons

Separate KPIs from ordinary metrics, write KPI definitions that everyone computes the same way, find every stakeholder behind a request, and turn a vague ask into a business question tied to a real decision.

  1. Metrics vs KPIs12 min
  2. Defining a KPI Precisely14 min
  3. Finding Your Stakeholders12 min
  4. From Request to Business Question14 min
Business Functions and BI Levels4 lessons

Compute the numbers finance, marketing, operations and HR steer by, using one month of Weftwise data, then match every BI request to its level: operational for today, tactical for the quarter, strategic for the years ahead.

  1. Finance KPIs14 min
  2. Marketing KPIs14 min
  3. Operations and HR KPIs14 min
  4. Operational, Tactical and Strategic BI12 min
Dashboards and Storytelling5 lessons

Pick the chart from the comparison a question needs, catch the tricks that make charts lie, use colour with purpose and for every reader, lay out a dashboard that passes the five-second test, and write the executive summary that gets a decision.

  1. Choosing the Right Chart12 min
  2. Spotting Misleading Charts12 min
  3. Colour and Accessibility12 min
  4. Designing a Dashboard14 min
  5. Storytelling and Executive Summaries14 min
Data Quality and Lineage3 lessons

Test data against six quality dimensions, reconcile two revenue totals rupee by rupee, and trace a broken KPI upstream to its cause and downstream to everyone it affects.

  1. Six Tests of Data Quality12 min
  2. Accuracy and Coherence: Reconciling Numbers14 min
  3. Data Lineage14 min
Modelling Data for BI4 lessons

See where BI data lives, why reporting tables are denormalized, how facts and dimensions form a star schema, and how calculated fields and measures keep ratios such as margin correct however the data is sliced.

  1. Warehouse, Lake and Mart12 min
  2. Normalization vs Denormalization14 min
  3. Facts, Dimensions and the Star14 min
  4. Calculated Fields and Measures15 min