Dr. Mohamed Metwaly El Khatib leads workshop on economic data analysis basics using Power BI

The Faculty of Economic Studies and Political Science hosted a notable workshop led by Dr. Mohamed Metwaly El Khatib on the basics of economic data analysis using Power BI, in a session that blended academic depth with hands-on application. The workshop focused on moving from static tables to interactive dashboards that help students, researchers, and institutions read economic indicators with greater speed and clarity.

At the heart of the session was a practical question that matters to anyone working with economic information: how can raw figures be turned into an analytical story that supports judgment and decision-making? The workshop therefore walked participants through data cleaning, model preparation, dashboard design, and the visual tracking of indicators such as inflation, growth, spending, and time-series comparisons.

The event also drew strength from Dr. El Khatib’s professional profile. His official website presents him as an academic, economist, and training specialist with experience in linking knowledge to labor-market needs. That background was visible in the workshop structure, which did not stop at theory but connected economic reasoning with digital presentation tools now used across universities, policy circles, and research institutions.

Participants followed applied examples showing how Power BI can simplify trend discovery, reveal bottlenecks, and build live dashboards that support both analysts and decision-makers. The session also highlighted an important point about future-ready economic skills: reading data well has become central to policy analysis, project evaluation, and the preparation of modern economic studies.

Taken together, the workshop reflected a broader academic shift toward integrating digital analysis tools into economics education. That matters because it strengthens the ability of graduates and researchers to work in the language of evidence rather than stand-alone figures. The result was an event that combined scientific substance, practical clarity, and a compelling vision for data-driven economic thinking.