UX & Data Visualization

Course overview

The course UX & Data Visualization teaches the connection between user-centered design and data-driven representation in digital products. It covers concepts of User Experience, Information Architecture, and visualization methods for quantitative and qualitative data. The goal is to systematically derive visualization decisions from user requirements, use cases, and data structures. The course is positioned at the intersection of UX design, Human-Computer Interaction, and Information Visualization. Content Fundamentals of UX: Requirement analysis, user research, personas, use cases, and user journeys, as well as deriving information architecture and interaction patterns. Data basis and data preparation: Data types, metrics and dimensions, data quality, aggregation, normalization, and selection of appropriate key figures for visualization. Design principles of data visualization: Encoding through color, shape, size, and position, types of diagrams and their fields of application, readability, scaling, and accessible representation. Prototyping and interaction: Wireframes and low/high-fidelity prototypes for dashboards and reports, interaction concepts such as filters, drilldowns, tooltips, and state changes. Evaluation and measurement: Heuristic evaluation, usability tests, analysis of usage data, interpretation of metrics, and iteration of visualizations. Documentation and handover: Style guides, annotation of visualizations, handover to development teams, and versioning of artifacts. Learning objectives - Analyze user requirements and data sources to derive visualization needs - Identify suitable types of diagrams depending on data type, question, and usage context - Create wireframes and interactive prototypes for dashboards and reports - Conduct usability tests and heuristic evaluations for data-driven interfaces - Assess readability, accessibility, and information density based on defined criteria - Integrate interaction patterns such as filters, drilldowns, and highlights into visualization concepts Career prospects The course content is applicable in fields such as UX design and Interaction Design with a focus on data-driven interfaces and dashboards. Typical job roles include Data Visualization Designer or Information Designer in teams for Business Intelligence and product development. The course addresses content for roles such as Product Designer with a focus on analytics and Business Intelligence developments with responsibility for frontend visualizations. Summary The course UX & Data Visualization addresses the design of user-centered, data-based interfaces and the selection of appropriate visualizations for different data types and questions. In this training, methods of UX, principles of information visualization, prototyping, and evaluation are taught. The content can be applied in fields such as UX design, Data Visualization Design, and Business Intelligence.

Upcoming dates

• 2026-11-01T23:00:00.000Z · 2027-04-21T22:00:00.000Z · Leipzig · Combined Learning
• 2026-11-01T23:00:00.000Z · 2027-01-25T23:00:00.000Z · Leipzig · Combined Learning
• 2026-12-06T23:00:00.000Z · 2027-05-26T22:00:00.000Z · Leipzig · Combined Learning
• 2026-12-06T23:00:00.000Z · 2027-03-01T23:00:00.000Z · Leipzig · Combined Learning

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