Data Analyst - Power BI and AI

Course overview

The training program "Data Analyst - Power BI and AI" imparts practical skills in handling data, focusing on visualization and the use of AI in modern data environments. Participants learn to evaluate data in a structured manner, present results understandably, and use visualization purposefully. Additionally, the fundamentals of AI are taught to analyze data efficiently and recognize new relationships. The goal is to connect data, visualization, and AI to make them usable for data-driven decisions. The training also includes manufacturer certificates from Microsoft, which formally confirm competencies in data, visualization, and AI. Program The training is modular and covers central topics related to data, visualization, and AI: - Modern Data Analysis with SQL Server: Structured processing of data as a basis for further visualization and analysis. - Power BI Basics: Fundamentals of visualization for preparing data and initial insights into AI-supported evaluations. - Power BI Advanced: Advanced methods of visualization for representing complex data structures and analysis results. - Python for Data Science, Machine Learning & Visualization: Use of AI for data analysis as well as the combination of AI methods and visualization. - DP-900: Microsoft Data Fundamentals: Central concepts related to data as a basis for visualization and AI applications. - PL-300: Microsoft Power BI Data Analyst: Analysis and visualization of data with a focus on practical application and integration of AI functions. - IntelliLAB - AI Literacy: Introduction to the fundamentals of AI and their significance for handling data and visualization. - Application Training: Preparation for applications in the field of data, visualization, and AI. Throughout the training, data, visualization, and AI are consistently linked. Practical exercises support the development of competencies in data analysis as well as in the visualization of results. AI is used to evaluate data efficiently and recognize patterns. The combination of data, visualization, and AI enables a practical entry into data-driven activities.

Upcoming dates

• 2026-10-11T22:00:00.000Z · 2027-01-18T23:00:00.000Z · München · Combined Learning
• 2026-10-11T22:00:00.000Z · 2027-04-27T22:00:00.000Z · München · Combined Learning
• 2026-11-01T23:00:00.000Z · 2027-01-03T23:00:00.000Z · München · Combined Learning
• 2026-11-01T23:00:00.000Z · 2027-04-30T22:00:00.000Z · München · Combined Learning