ProobaTech
Fundamentals of machine learning for financial analysts
A practice-oriented course for data-driven decisions in the financial world.
About us
We offer specialized training for professionals in the financial sector who want to expand their knowledge of machine learning. Our course is designed to make complex concepts understandable and provide real-world applications for financial analysts. With a focus on real-world scenarios and modern tools, we help you to create well-founded analyses and forecasts.
Why you should choose us
Specially developed for financial analysts
Hands-on learning with real data sets
Personal support from experienced mentors
Access to tools such as Python, scikit-learn, Pandas
Available online and on-site in Germany
Our services
Introduction to machine learning: basics, algorithms, terms
Prepare & analyze financial data: Feature engineering & data cleansing
Creating & evaluating models: Regression, classification, decision trees
Practical projects:: Portfolio optimization, risk forecasting, creditworthiness analysis
Tool training: Jupyter Notebooks, Python, Matplotlib, sklearn
Our advantages
Teaching materials in German & English
Access to the online learning platform for 12 months
Certificate upon successful completion
Flexible course times – ideal for working professionals
Direct applicability in the financial sector
Customer ratings
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„A fantastic course! I can now build forecasting models myself – a real advantage in my day-to-day work.“
– Michael T., Investment Analyst, Frankfurt
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„Very structured and clearly explained. The module on credit risk assessment was particularly helpful.“
– Clara F., Risk Manager, Berlin
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„The combination of theory and practice was perfect. I recommend the course to every analyst!“
– Jonas L., Portfolio Manager, Munich
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“I had no prior knowledge of ML – the course built everything up step by step.”
– Sophie M., Junior Analyst, Hamburg
Our team
Dr. Hannah Berger - Data Scientist
Expert in statistical modeling and machine learning with experience in banks and FinTechs.
Lukas Meier - Financial Analyst & Lecturer
Specializes in quantitative financial analysis and Excel automation. Brings over 10 years of industry experience.
Daniel Hoffmann - Python developer
Teaches efficient data processing with Python and develops practical code examples for the course.