
Ready to turn numbers into strategy? The Financial Modelling course takes you deep into Excel and Power BI to build dynamic, data-driven financial models. You’ll learn to create integrated financial statements, perform sensitivity and scenario analyses, and support decisions in investment, capital structure, and M&A. Combining financial theory with hands-on tools, ethics, and ESG insights, this course equips you with the mindset and skills of a forward-thinking finance leader.
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 Financial Modelling course takes you beyond theory, immersing you in hands-on Excel and Power BI work to create dynamic models that inform high-stakes decisions—from investment strategy to capital structure and ESG-aligned leadership. This is more than just learning tools – it's about mastering financial thinking.
The course is suitable for finance professionals, analysts, entrepreneurs, and graduate students aiming to build practical skills in financial modelling and data-driven decision-making. It is especially valuable for those interested in Excel, Power BI, and strategic financial management.
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 is delivered over two full days, with sessions running from 10:00 to 17:15 each day and a 45-minute break included. The course takes place between October 17 and December 12. After the sessions, participants are expected to work independently to prepare and present their final report. The detailed schedule will be confirmed in June.
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.
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