Cloud Data Analyst with Additional Qualification in Project Management 4.0 - Kanban & AI

Course overview

The training for Cloud Data Analyst is aimed at individuals who work with Power BI and Data Analyst in various professional and technical contexts. In many organizations, Power BI and Data Analyst are integral parts of daily practice, which is why the course repeatedly focuses on Power BI and Data Analyst. Introductory examples demonstrate how Power BI and Data Analyst are embedded in typical areas of responsibility and how requirements related to Power BI and Data Analyst can be systematically structured. As the content progresses, it explains how Power BI and Data Analyst are considered in the planning, implementation, and documentation of specific work steps. Participants will see how Power BI is used in various scenarios, while Data Analyst serves as a reference point for evaluations or configurations. Several practice sections explicitly address Power BI and Data Analyst to clarify how decisions regarding Power BI and Data Analyst impact the overall process. Another focus is on systematically addressing typical questions where Power BI and Data Analyst must be considered together. It becomes evident how Power BI serves as a foundation for certain work steps and how Data Analyst is used complementarily to structure or verify results. Participants will have the opportunity to apply Power BI and Data Analyst in different configurations and reflect on the roles Power BI and Data Analyst play in their respective areas of responsibility. In the next step, it will be brought together how Power BI and Data Analyst are integrated into long-term developments. It will be shown how insights gained from Power BI and information processed with Data Analyst can be used for further decisions. Finally, there will be a reflection on how Power BI and Data Analyst will play a role in future projects and how a conscious approach to Power BI and Data Analyst contributes to making processes comprehensible and transparent. Agenda: 1. Classification of roles and areas of responsibility 2. Overview of typical work processes 3. Structuring of professional and technical requirements 4. Approaches to analysis, planning, and implementation 5. Use of supporting tools and platforms 6. Documentation and traceability of workflows 7. Collaboration with adjacent roles and areas 8. Long-term development of structures and processes At the end of the training, the following module is the focus: "Project Management 4.0 - Kanban & AI" conveys practical knowledge on the combination of classical agile methods with AI-supported applications in the project context. Participants will learn how Kanban boards can be linked with intelligent assistance systems to increase transparency, prioritization, and efficiency in project management.

Upcoming dates

• 2026-07-26T22:00:00.000Z · 2027-01-23T23:00:00.000Z · München · Combined Learning
• 2026-07-26T22:00:00.000Z · 2026-10-24T22:00:00.000Z · München · Combined Learning
• 2026-07-26T22:00:00.000Z · 2027-01-23T23:00:00.000Z · Eschborn, Taunus · Combined Learning
• 2026-07-26T22:00:00.000Z · 2026-10-24T22:00:00.000Z · Eschborn, Taunus · Combined Learning
• 2026-09-06T22:00:00.000Z · 2027-03-09T23:00:00.000Z · München · Combined Learning