Python

Course overview

Python is the programming language on which a large part of today's data analysis is based. This course introduces the Python programming language and directly connects the first programming steps with the three core libraries for data work: Pandas for preparation and transformation, NumPy for numerical calculations and statistics, and Matplotlib for charts. Competency Goals Learn Python with variables, data types, loops, and functions Read datasets and access data sources via SQL Filter, reshape, and merge tables with Pandas Implement numerical calculations and statistical metrics with NumPy Create charts with Matplotlib and prepare them for reports Link the libraries into a continuous analysis pipeline Topics and Connections The introduction to Python begins with the steps of data analysis and the basic elements of programming. Pandas then brings structure to the imported datasets: columns are selected, values are transformed, and data structures are reshaped. NumPy takes over the numerical calculations on which statistical methods and metrics are based, while Matplotlib visualizes the results in line, bar, and scatter plots. In the end, these Python tools are connected into an analysis pipeline: data extraction as the starting point, transformation with Pandas, calculation with NumPy, and visual representation with Matplotlib as preparation for dashboards. Learning Python here means using the Python programming language from the very beginning as a tool for Data Analytics and Business Intelligence. Career Perspectives Application fields arise in all areas where data is read, analyzed, and presented using Python. Python Programmer for data analysis and scripts Junior Data Analyst with Python skills BI Specialist for the preparation of metrics and charts Clerk with a focus on data-driven evaluations

Upcoming dates

• 2026-11-22T23:00:00.000Z · 2027-01-02T23:00:00.000Z · Heilbronn, Neckar · Hybrid Learning
• 2026-11-22T23:00:00.000Z · 2027-01-02T23:00:00.000Z · Leinfelden-Echterdingen · Hybrid Learning
• 2026-11-22T23:00:00.000Z · 2027-01-02T23:00:00.000Z · Nürnberg, Mittelfranken · Hybrid Learning
• 2026-11-22T23:00:00.000Z · 2027-01-02T23:00:00.000Z · Karlsruhe, Baden · Hybrid Learning
• 2026-11-22T23:00:00.000Z · 2027-01-02T23:00:00.000Z · Virtuelles Klassenzimmer

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