Data Science - Feature Engineering

Course overview

This training provides you with practical knowledge in the field of Data Science with a focus on Feature Engineering. 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 Python and Machine Learning, which will support you in professional tasks related to your field. Data foundations and analysis objectives in the context of Data Science with a focus on Feature Engineering distinguish relevant data sources, data types, and analysis questions professionally assess data structures, data quality, and significance derive key figures, metrics, and evaluation objectives from requirements plan and document analysis processes in a comprehensible manner Methods and tools for data preparation and evaluation purposefully use methods and tools 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 in a verifiable way and interpret them professionally 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 categorize typical tasks and requirements in the respective work field document and present professional results appropriately for the audience reflect on work methods and transfer them to your own professional situations derive the next implementation steps for everyday work in a structured manner This training supports you in handling typical tasks in the field of Data Science with a focus on Feature Engineering more confidently and efficiently. You will combine professional knowledge with practical methods and tools from the areas of Python and Machine Learning. This will strengthen your confidence in professional tasks related to Data Science with a focus on Feature Engineering, allowing you to apply the content directly in your daily work.

Upcoming dates

• 2026-08-09T22:00:00.000Z · 2026-11-01T23:00:00.000Z · Recklinghausen, Westfalen · Blended Learning
• 2026-08-09T22:00:00.000Z · 2026-11-01T23:00:00.000Z · Heilbronn, Neckar · Blended Learning
• 2026-08-09T22:00:00.000Z · 2026-11-01T23:00:00.000Z · Erfurt · Blended Learning
• 2026-08-09T22:00:00.000Z · 2027-01-24T23:00:00.000Z · Berlin · Blended Learning
• 2026-08-09T22:00:00.000Z · 2026-11-01T23:00:00.000Z · Bochum · Blended Learning