Data Analyst: Data Analysis with AI

Course overview

The training course Data Analyst: Data Analysis with AI imparts analytical, technical, and application-related skills for evaluating and interpreting data-driven questions. The content is structured around data structuring, AI-supported analysis, and result preparation. Data Understanding and Preparation Classify data sources and data formats professionally Clean, structure, and verify datasets Identify missing values, outliers, and inconsistencies Derive analysis goals from professional questions AI-Supported Analysis Use AI tools for pattern recognition and evaluation Analyze key figures, trends, and relationships Apply simple models for forecasts and classifications Compare analysis results with professional criteria Visualization and Reporting Prepare data in charts and tables Summarize analysis results clearly Structure dashboards and reports for decision-making processes Clearly present anomalies and deviations Quality and Interpretation Critically examine AI-generated results Consider data quality and potential biases Classify data protection and documentation requirements Derive action needs from analysis results The training enables AI-supported data analysis, structured result preparation, and professional evaluation of data-based insights.

Upcoming dates

• 2026-09-29T22:00:00.000Z · 2026-12-21T23:00:00.000Z · Berlin · Hybrid Learning
• 2026-09-29T22:00:00.000Z · 2027-03-15T23:00:00.000Z · Berlin · Hybrid Learning
• 2026-09-29T22:00:00.000Z · 2026-12-21T23:00:00.000Z · Bielefeld · Hybrid Learning
• 2026-09-29T22:00:00.000Z · 2027-03-15T23:00:00.000Z · Bielefeld · Hybrid Learning
• 2026-09-29T22:00:00.000Z · 2026-12-21T23:00:00.000Z · Bonn · Hybrid Learning