BI305: Advanced Analytics & Forecasting

SFIA Reference: DTAN Level 4/5

Data Analyst / Report Writer (Grade 3)

Competency Description

Applies forecasting and advanced analytics techniques to deliver deeper business insights using BI tools and code.

Learning Outcomes

  • Use DAX, R, or Python for trend analysis and modelling.
  • Apply time series forecasting in Power BI.
  • Explain assumptions and outcomes of analytical models.

Evidence Requirements

Level 4:

  • Built a forecast visual or trend analysis using DAX.
  • Explained KPI variation using statistical tools. Level 5:
  • Delivered a predictive model with measurable business value.
  • Combined BI visuals with code-based models.

Suggested Learning Activities

  • Forecasting with DAX workshop.
  • Python/R notebook lab for KPI modelling.
  • Reflection on forecast accuracy vs actuals.

Recommended Resources

  • KnowHow: “Forecasting in Power BI”
  • Book: “Practical Time Series Forecasting” by Galit Shmueli

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