Python and Data Science in Finance

Course overview

Goals of the Training The focus of the training Python and Data Science in Finance is on imparting knowledge in data science and its application in the financial sector. The content includes an introduction to the fundamentals of data science as well as specific aspects of financial management. Another emphasis is on programming with Python, where both basic and advanced programming skills are taught. A practical project on programming with Python allows the application of what has been learned in real scenarios. This training provides a solid foundation for the analysis and processing of financial data. Content of the Training Introduction to Data Science Introduction to Data Science Data Data Science in Business Statistics Machine Learning Financial Management Operational Issues of Financing Capital Requirements and Financing in the Lifecycle Equity-oriented Financing Instruments Debt-oriented Financing Instruments Hybrid Financing Instruments Specific Financing Situations Working Capital Management Introduction to Programming with Python Python as a Programming Language for Data Science Variables and Built-in Data Types Statements and Functions Error and Exception Handling Important Python Data Science Modules Project: Programming with Python This module deals with the application of basic Python programming in the area of finance.

Upcoming dates

• 2026-09-13T22:00:00.000Z · 2027-01-13T23:00:00.000Z · Karlsruhe, Baden · Blended Learning
• 2026-09-13T22:00:00.000Z · 2027-01-13T23:00:00.000Z · Duisburg · Blended Learning
• 2026-09-13T22:00:00.000Z · 2027-01-13T23:00:00.000Z · Leinfelden-Echterdingen · Blended Learning
• 2026-09-13T22:00:00.000Z · 2027-01-13T23:00:00.000Z · Nürnberg, Mittelfranken · Blended Learning
• 2026-09-13T22:00:00.000Z · 2027-01-13T23:00:00.000Z · München · Blended Learning