Metsä Group Finance Academy: Analytics and Automation Track
Issued by
Hanken & SSE Executive Education
The Finance Academy covers an extensive portfolio of modules tailored to the needs of the Metsä Group finance and controlling professionals. The Analytics and automation track consists of three modules: Analytics and Python, Analytics and automation with Python and PowerBI and Machine learning and AI in Python. The tack allows the participant to gain skills in Python, Machine learning and AI.
Skills
- Analytics Tools
- Artificial Intelligence (AI)
- Automation
- Jupyter Notebook
- Python
Earning Criteria
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Analytics and Python module goals: Introduce and investigate the Python programming language, utilized through JupyterLab notebooks, as a tool for doing more advanced numerical analysis than is possible or convenient in Excel or PowerBI.
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Analytics and automation with Python & PowerBI module goals: advanced use of Python, focusing on the possibilities of automating the use of other applications, e.g., SAP and PowerBI and using Python extensions as personal software robots (RPA).
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Machine learning and AI in Python module goals: to explore how finance can make use of machine learning algorithms and generative AI to discover and create new possibilities.