Python Programming, Data Science, and Digital Transformation

Course overview

In the continuing education course on Python Programming, Data Science, and Digital Transformation, you will engage with central technologies and concepts from IT. The focus is on data-driven approaches, the development of digital business models, and the application of Python in data-driven analysis. Digital Business Models and Innovation Fundamentals of digital competencies in a business context Use of the DVC Framework for analyzing digital business models Development steps and value orientation of digital solutions Introduction to Value Proposition Design and customer-centered strategies Agile Working and Project Methods Overview of values and principles of the Agile Manifesto Application of the Scrum Framework in IT projects Role distribution and work processes in agile teams Importance of meetings, sprints, and goal definitions Fundamentals of Digitalization Technological developments and their operational impacts Societal and economic changes due to digital processes Action areas for companies, politics, and the working world Strategic Transformation Management Structure and use of the Digital Transformation Management Framework Management roles and steering of change processes Maturity models and their significance in the change process Adjustment of corporate culture and business models Data Analysis and Artificial Intelligence Statistical fundamentals for data analysis Methods of structured data processing in companies Introduction to the CRISP-DM model Aspects of trustworthiness and fairness in AI systems Basic considerations for the ethical evaluation of data-driven systems Python in Data Processing Installation and use of Python in the analysis context Working with variables, loops, and functions Structuring programs using object-oriented and procedural approaches Handling file systems and applying typical Python methods Fundamentals of data visualization with Python With this continuing education course, you will develop a practical understanding of data-driven methods, programming logic in Python, and strategic concepts of digital transformation in companies.

Upcoming dates

• 2026-08-09T22:00:00.000Z · 2027-03-22T23:00:00.000Z · Augsburg, Bayern · Blended Learning
• 2026-08-09T22:00:00.000Z · 2027-03-22T23:00:00.000Z · Berlin · Blended Learning
• 2026-08-09T22:00:00.000Z · 2027-03-22T23:00:00.000Z · Eberswalde · Blended Learning
• 2026-08-09T22:00:00.000Z · 2027-03-22T23:00:00.000Z · Bergisch Gladbach · Blended Learning
• 2026-08-09T22:00:00.000Z · 2027-03-22T23:00:00.000Z · Erfurt · Blended Learning