Model Evaluation with Python for Data Scientists

Course overview

This training provides you with practical knowledge in the field of model evaluation. You will learn to categorize typical tasks confidently, apply suitable methods and tools, and prepare results in a comprehensible manner. The focus is on practical applications from the areas of machine learning and Python, which will support you in your role as a data scientist or in comparable professional tasks. Data Foundations and Analysis Goals in the Context of Model Evaluation Differentiate relevant data sources, data types, and analysis questions Professionally assess data structures, data quality, and significance Derive key figures, metrics, and evaluation goals from requirements Plan and document analysis processes in a comprehensible manner Python for Data Preparation and Evaluation Purposefully use Python for queries, calculations, or analysis steps Clean, transform, and prepare data for evaluations Implement recurring work steps in a structured and comprehensible manner Prepare results for verification and professional interpretation Visualization, Reporting, and Decision Support Present evaluation results in tables, charts, or dashboards Structure reports appropriately for the target audience and highlight key messages Derive anomalies, patterns, and deviations from data Use data analyses as a basis for operational or strategic decisions Transfer to Data-Related Tasks as a Data Scientist Classify typical tasks and requirements as a data scientist Document and present professional results appropriately for the audience Reflect on work methods and transfer them to your own professional situations Structurally derive next implementation steps for everyday work This training supports you in handling typical tasks in the field of model evaluation more confidently and efficiently. You will combine professional knowledge with practical methods and tools from the areas of machine learning and Python. This will strengthen your confidence in your role as a data scientist and allow you to apply the content directly in your professional life.

Upcoming dates

• 2026-08-02T22:00:00.000Z · 2026-11-22T23:00:00.000Z · Eberswalde · Blended Learning
• 2026-08-02T22:00:00.000Z · 2026-11-22T23:00:00.000Z · Recklinghausen, Westfalen · Blended Learning
• 2026-08-02T22:00:00.000Z · 2026-09-27T22:00:00.000Z · Eberswalde · Blended Learning
• 2026-08-02T22:00:00.000Z · 2026-09-27T22:00:00.000Z · Heilbronn, Neckar · Blended Learning
• 2026-08-02T22:00:00.000Z · 2026-11-22T23:00:00.000Z · Berlin · Blended Learning