Certified Data & BI Analyst (CDBIA)

Empowering Managers to Lead with Data-Driven Insights

Duration: 10 Weeks – 2 live sessions per week, 90 minutes each (via Zoom)

Trainer: Highly experienced lecturer with proven BI expertise

Certificate: Certified Data & BI Analyst (CDBIA)

In today’s business world, data is the new leadership currency. Managers who can understand, analyze, and leverage data are better equipped to make smarter decisions, drive innovation, and lead organizations into the future.

The Certified Data & BI Analyst (CDBIA) program provides the skills and mindset needed to transform raw data into strategic value. Over 10 weeks, with live, interactive sessions, participants will learn how to use Power BI and other leading BI techniques to uncover trends, optimize processes, and communicate insights that influence company strategy.

Guided by a highly experienced lecturer, this hands-on course combines real-world case studies and practical exercises to ensure participants can apply what they learn immediately in areas such as finance, HR, operations, and marketing.

Why This Course Matters for You

Future-Proof Your Career: Data-driven leadership is essential for modern management.

Make Smarter Decisions: Use analytics to guide strategy and operational excellence.

Lead Digital Transformation: Gain skills to drive innovation and efficiency across teams.

Key Learning Outcomes

Master Power BI to build interactive dashboards and automate reporting

Understand the data lifecycle, from sourcing to actionable insights

Identify patterns and opportunities for business growth

Create compelling data stories for clear communication

Apply ethical and effective data management practices

Outcome: Graduates will receive the Certified Data & BI Analyst (CDBIA) credential, positioning them as leaders ready to shape the future of management through data-driven decision-making

  • Use Power BI to prepare, transform, and visualize large data sets

  • Build real-time dashboards and automated reporting systems

  • Apply statistical methods and AI-driven forecasting for business planning

  • Interpret key performance indicators (KPIs) across departments

  • Implement data storytelling techniques for executive decision-making

  • Understand data privacy, ethics, and compliance in analytics

  • Use DAX, Power Query, and AI features in Power BI to gain actionable insights