Web Data Structuring for Data Analysts

Course overview

This training provides you with practical knowledge in the field of web data structuring. 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 databases as well as HTML and CSS, which will support you in your role as a Data Analyst or in comparable professional tasks. Technical fundamentals and system relationships in the context of web data structuring categorize technical requirements, architectural components, and interfaces understand the roles of systems, applications, data, and users systematically capture functional and non-functional requirements consider security, quality, and maintainability aspects in implementation Methods and tools for development, configuration, or technical implementation use methods and tools for creating, adapting, or analyzing technical solutions systematically process code, interfaces, systems, or digital processes identify sources of errors and systematically test solutions document technical results and make them comprehensible for collaboration Practical projects, testing, and quality assurance translate requirements into concrete technical work steps verify results with appropriate tests, reviews, or feedback loops consider performance, usability, or security depending on the context of use clearly justify and document technical decisions Professional application as a Data Analyst categorize typical tasks and requirements as a Data Analyst document and present technical 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 web data structuring more securely and efficiently. You will combine professional knowledge with practical methods and tools from the areas of databases as well as HTML and CSS. This will strengthen your confidence in your role as a Data Analyst and allow you to apply the content directly in your professional life.

Upcoming dates

• 2026-08-09T22:00:00.000Z · 2026-11-29T23:00:00.000Z · Recklinghausen, Westfalen · Blended Learning
• 2026-08-09T22:00:00.000Z · 2026-11-29T23:00:00.000Z · Berlin · Blended Learning
• 2026-08-09T22:00:00.000Z · 2027-03-21T23:00:00.000Z · Erfurt · Blended Learning
• 2026-08-09T22:00:00.000Z · 2026-11-29T23:00:00.000Z · Erfurt · Blended Learning
• 2026-08-09T22:00:00.000Z · 2027-03-21T23:00:00.000Z · Augsburg, Bayern · Blended Learning