Data Literacy for Business Professionals

Instructor: Alaa Hady · Language: English or Arabic · Suggested duration: 3–6 hours · Level: Foundation (Level 100)

Objectives

• Build confidence in interpreting business data and common corporate metrics.
• Explain the difference between measures, dimensions, KPIs, targets, and benchmarks.
• Recognize common data quality issues, survivorship bias, and misleading visualizations.
• Encourage evidence-based questions and structured decision-making.

Outline and contents

1. Data in everyday business
   • Data, information, insight, and action value chain
   • Descriptive, diagnostic, predictive, and prescriptive analytics maturity
   • Common business data structures (transactional vs. snapshot data)
2. Understanding metrics
   • Measures versus dimensions (numerical facts vs. business context)
   • KPI definitions, targets, baselines, and period comparisons
   • Rates, percentages, weighted averages, medians, and totals
3. Reading charts and dashboards
   • Choosing and interpreting common chart types (bar, line, waterfall, scatter, combo)
   • Identifying trends, distributions, variance, and outliers
   • Spotting misleading scales, cherry-picked time frames, and visual clutter
4. Data quality and responsible use
   • Accuracy, completeness, consistency, timeliness, and lineage
   • Correlation versus causation in business performance
   • Data privacy, sensitivity labels, access, and responsible handling
5. Turning evidence into action
   • Framing testable business questions
   • Separating objective observations from subjective assumptions
   • Communicating findings and next steps in team meetings

Target audience

All employees who consume reports or use data in daily work, including managers, team leaders, operational staff, and non-technical professionals.

Expected outcomes

Participants can interpret basic business metrics, question data constructively, identify common analytical pitfalls, and use evidence more confidently in daily decisions.