AI + Programming: Python for Students with AI

Course overview

Course Name: Python Programming - Python for Python Students This course is specifically designed for students who want to learn Python in a solid and practical way - for studies, projects, and student jobs. The course provides a solid foundation in programming, data-oriented work, and initial steps into the scientific application of Python. Exercises and mini-projects ensure that what is learned is directly applied. Target Group Students from all disciplines, especially Computer Science, Business Informatics, Data Science, Natural Sciences, and Engineering. Also suitable for career changers who want to use Python in their studies or side jobs. Course Level Beginners to Advanced (foundation-centered). Prerequisites and Recommended Preliminary Courses No programming knowledge required; a basic understanding of mathematics is helpful. --- *Module 1: Programming Basics with Python - Establishing a Solid Foundation** In this module, participants learn the syntax, data structures, and control logic of Python and develop their first small applications. Practical example: Automating study life - script for grade and credit point calculation. Development environments and project structure Data types, variables, operators Control structures (If, For, While) Functions, modules, error handling Clean code and documentation --- *Module 2: Data Analysis and Scientific Work with Python** Focus on data-driven work in studies: loading, preparing, analyzing, and visualizing data - including a brief introduction to Jupyter Notebook. Practical example: Analyzing a research dataset with Pandas and visualizing the results. Reading/writing files (CSV, Excel) NumPy and Pandas - data structures and transformation Descriptive statistics and simple evaluations Visualization with Matplotlib Reproducible notebooks and result presentation --- *Module 3: Project Work and Study Practice** At the end, participants implement a small study project - from problem formulation to data preparation to presentation. Practical example: Mini-project for evaluating survey data including a short report creation. Topic finding and planning Modular structure and versioning Result preparation (diagrams, tables) Short project documentation Outlook: Deepening in OOP and advanced courses --- *Similar Courses** Advanced Programming Techniques with Python Microsoft AI-900 - Azure AI Fundamentals Python for Security Analysts The course is AZAV certified and eligible for funding through education vouchers and the Qualification Opportunities Act (QCG). Participation is possible for individuals and companies. Conducted by New Horizons (Munich, Stuttgart, Nuremberg) as well as learn2program.de. All courses can be taken online throughout Germany. Many of our courses are offered in German and/or English.

Upcoming dates

• 2026-08-02T22:00:00.000Z · 2026-09-04T22:00:00.000Z · Würzburg · Combined Learning
• 2026-08-02T22:00:00.000Z · 2026-09-04T22:00:00.000Z · München · Combined Learning
• 2026-08-02T22:00:00.000Z · 2026-08-17T22:00:00.000Z · München · Combined Learning
• 2026-08-02T22:00:00.000Z · 2026-09-04T22:00:00.000Z · München · Combined Learning
• 2026-08-02T22:00:00.000Z · 2026-08-17T22:00:00.000Z · München · Combined Learning