Cloud Data Analyst with Additional Qualification C++, Advanced Course

Course overview

The training for Cloud Data Analyst is aimed at individuals who work with Microsoft certification and Data Science in various professional and technical contexts. In many organizations, Microsoft certification and Data Science are integral parts of daily practice, which is why the course repeatedly refers back to Microsoft certification and Data Science. Introductory examples demonstrate how Microsoft certification and Data Science are embedded in typical areas of responsibility and how requirements related to Microsoft certification and Data Science can be systematically structured. In the further course of the content, it is explained how Microsoft certification and Data Science are taken into account in the planning, implementation, and documentation of specific work steps. Participants will see how Microsoft certification is used in various scenarios, while Data Science serves as a reference point for evaluations or configurations. Several practice sections explicitly address Microsoft certification and Data Science to clarify how decisions regarding Microsoft certification and Data Science impact the overall process. Another focus is on systematically addressing typical questions where Microsoft certification and Data Science must be considered together. It becomes evident how Microsoft certification serves as a foundation for certain work steps and how Data Science is used complementarily to structure or verify results. Participants have the opportunity to apply Microsoft certification and Data Science in different configurations and reflect on the role of Microsoft certification and Data Science in their respective areas of responsibility. In the next step, it will be brought together how Microsoft certification and Data Science are integrated into long-term developments. It will be shown how insights gained from Microsoft certification and information processed with Data Science can be used for further decisions. Finally, it will be reflected upon how Microsoft certification and Data Science will play a role in future projects and how a conscious approach to Microsoft certification and Data Science 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: 'C++, Advanced Course' deepens knowledge in the C++ programming language and conveys advanced concepts of software development. Participants learn to use more complex data structures, apply advanced techniques of object-oriented programming, and optimize programs efficiently. Upon completion, participants will be able to re…

Upcoming dates

• 2026-09-06T22:00:00.000Z · 2026-12-07T23:00:00.000Z · Eschborn, Taunus · Combined Learning
• 2026-09-06T22:00:00.000Z · 2027-03-09T23:00:00.000Z · München · Combined Learning
• 2026-09-06T22:00:00.000Z · 2026-12-07T23:00:00.000Z · München · Combined Learning
• 2026-09-06T22:00:00.000Z · 2027-03-09T23:00:00.000Z · Eschborn, Taunus · Combined Learning