The Programming Language Python

Course overview

Python is one of the most important programming languages for data analysis and data science. In this course, you will learn the basics of programming with Python, analyze and process data using common libraries, and visualize results in Jupyter Notebooks. Content: set up and use the Jupyter Notebooks development environment for Python projects securely apply basic data types, variables, and language concepts of Python structure and develop programs with conditions, loops, and functions read, understand, and prepare structured datasets for analysis filter, manipulate, and evaluate data using the Pandas library perform numerical calculations and data processing with NumPy create and interpret initial charts and visualizations with Matplotlib clean, transform, and prepare data for further analysis document the results of data analyses comprehensibly and present them in Jupyter Notebooks independently solve basic programming and analysis tasks with Python Perspectives: With this knowledge, you can analyze, prepare, and visualize data with Python, as well as implement initial data science and automation tasks. The skills acquired form a foundation for activities in the fields of data analysis, business intelligence, software development, automation, data science, and artificial intelligence, as well as for further qualifications in the Python environment. If you have any questions about this or other combination options, please feel free to contact our advisory service.

Upcoming dates

• 2026-12-02T23:00:00.000Z · 2026-12-15T23:00:00.000Z · Bamberg · Blended Learning
• 2026-12-02T23:00:00.000Z · 2026-12-15T23:00:00.000Z · Bayreuth · Blended Learning
• 2026-12-02T23:00:00.000Z · 2026-12-15T23:00:00.000Z · Berlin · Blended Learning
• 2026-12-02T23:00:00.000Z · 2026-12-15T23:00:00.000Z · Berlin · Blended Learning
• 2026-12-02T23:00:00.000Z · 2026-12-15T23:00:00.000Z · Berlin · Blended Learning