Web Data Processing with Python for Data Analysts

Course overview

This training provides you with practical knowledge in the field of web data processing. 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, databases, and online marketing, which will support you in your role as a Data Analyst or in similar professional tasks. Data fundamentals and analysis objectives in the context of web data processing 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 Python for data preparation and evaluation specifically use Python for queries, calculations, or analysis steps clean, transform, and prepare data for evaluations systematically and transparently implement recurring work steps prepare results in a verifiable manner and interpret them professionally Visualization, reporting, and decision support present evaluation results in tables, charts, or dashboards structure reports according to 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 Analyst categorize typical tasks and requirements as a Data Analyst document and present professional results appropriately for the audience reflect on work methods and transfer them to your own professional situations systematically derive next implementation steps for everyday work This training helps you to handle typical tasks in the field of web data processing more securely and efficiently. You will combine professional knowledge with practical methods and tools from the areas of Python, databases, and online marketing. This will strengthen your confidence in your role as a Data Analyst and allow you to apply the content directly in your professional life. You will work with Google Analytics 4, Google Search Console, and Canva.

Upcoming dates

• 2026-09-06T22:00:00.000Z · 2027-08-08T22:00:00.000Z · Recklinghausen, Westfalen · Combined Learning
• 2026-09-06T22:00:00.000Z · 2027-02-21T23:00:00.000Z · Eberswalde · Combined Learning
• 2026-09-06T22:00:00.000Z · 2027-08-08T22:00:00.000Z · Eberswalde · Combined Learning
• 2026-09-06T22:00:00.000Z · 2027-02-21T23:00:00.000Z · Heilbronn, Neckar · Combined Learning
• 2026-09-06T22:00:00.000Z · 2027-08-08T22:00:00.000Z · Berlin · Combined Learning