
Modern finance leaders must be fluent in data. This course develops the analytical mindset and technical toolkit needed to turn complex financial and economic data into actionable insights. Participants learn how to extract and structure data from diverse sources, apply statistical and econometric models, and present findings using Excel, Power BI, and Python. By the end of the course, learners can support high-stakes financial decisions with clarity, precision, and credibility.
If interested, add your email to the waiting list and we'll send you a notification when the course details are ready and registration is possible.
The course builds a strong foundation in analytical thinking and data literacy, enabling finance professionals to confidently navigate complex datasets, collaborate across functions, and contribute to strategic decision-making in a tech-driven business environment
This course is intended for finance professionals, auditors, business analysts, entrepreneurs, and career changers who want to strengthen their data-driven financial analysis, reporting, and decision-making skills using modern tools.
Digital tools and financial data sources—including APIs, databases, and reporting platforms—are used throughout the learning process. The course applies software tools such as Excel, Power BI, and Python (including the Pandas and Matplotlib libraries). Participants are expected to have a laptop with at least 8GB of RAM and the following installed: Microsoft Office (Excel required), Power BI Desktop (free), and a functioning Python environment with Pandas and Matplotlib libraries.
Participants who complete the course will receive a continuing education certificate with ECTS credits.
The course takes place between October 17 and December 12. The detailed schedule will be confirmed in June.
After the sessions, participants are expected to work independently to prepare and present their final report.
If interested, add your email to the waiting list and we'll send you a notification when the course details are ready and registration is possible.
Modern finance leaders must be fluent in data. This course develops the analytical mindset and technical toolkit needed to turn complex financial and economic data into actionable insights. Participants learn how to extract and structure data from diverse sources, apply statistical and econometric models, and present findings using Excel, Power BI, and Python. By the end of the course, learners can support high-stakes financial decisions with clarity, precision, and credibility.

