AI Course for Data Science with AI Data and Data Agent Practice

Course overview

This AI course for Data Science with AI Data and Data Agent Practice combines data analysis, machine learning, and the use of data agents that perform individual steps of analysis within ongoing data processes. Artificial intelligence is considered throughout the entire data science chain: from data preparation to models and forecasts to automated evaluation. You will learn how AI-supported analysis and data analytics interconnect within a company. Learning objectives in the Data Science course Classify basic concepts of artificial intelligence, its technologies, and typical application areas Understand data-driven decisions and the process of a data science project Prepare data and use it as a basis for data analytics and model building Understand the fundamental principles of machine learning, recognize patterns, and create forecasts Build and control AI agents for analysis processes Automate recurring evaluations with data agents and integrate them into workflows Structure projects from planning to handover into operation From Data Preparation to Data Agent The AI course starts with the basic concepts: what defines artificial intelligence, how data science works, and where AI applications fit in business and analysis. The next step focuses on data preparation, data analysis, and machine learning, with pattern recognition and forecasts as central applications. The practical part on data agents shows how agent-supported data processes are built, integrated into existing systems through process integration, and scaled to further evaluations. Finally, it addresses the implementation of data science projects: project planning, a structured path from the question to the result, as well as standards and procedures for ongoing operations. Career Profiles in Data Science and Analytics Fields of application include roles such as Data Scientist, Data Analyst, Data Analyst with an AI focus, or Business Analyst. Tasks in business analytics, IT, and development are also included, where AI agents take over analysis and automation tasks. Thus, the course covers both data analytics and an introduction to data science with artificial intelligence.

Upcoming dates

• 2026-11-15T23:00:00.000Z · 2027-02-12T23:00:00.000Z · Virtuelles Klassenzimmer
• 2026-11-15T23:00:00.000Z · 2027-05-13T22:00:00.000Z · Virtuelles Klassenzimmer
• 2026-11-15T23:00:00.000Z · 2027-02-12T23:00:00.000Z · Berlin · Combined Learning
• 2026-11-15T23:00:00.000Z · 2027-05-13T22:00:00.000Z · Berlin · Combined Learning
• 2026-11-15T23:00:00.000Z · 2027-02-12T23:00:00.000Z · München · Combined Learning

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