Cloud Data Analyst with Additional Qualification in Microsoft Excel PowerPivot

Course overview

The training for Cloud Data Analyst is aimed at individuals who work with Python and C# in various professional and technical contexts. In many organizations, Python and C# are integral parts of daily practice, which is why the course frequently revisits Python and C#. Introductory examples demonstrate how Python and C# are embedded in typical areas of responsibility and how requirements related to Python and C# can be systematically structured. As the content progresses, it explains how Python and C# are considered in the planning, implementation, and documentation of specific work steps. Participants will see how Python is used in various scenarios, while C# serves as a reference point for evaluations or configurations. Several practice sections explicitly address Python and C# to clarify how decisions regarding Python and C# impact the overall process. Another focus is on systematically addressing typical questions that require a joint consideration of Python and C#. It becomes evident how Python serves as a foundation for certain work steps and how C# is used complementarily to structure or verify results. Participants will have the opportunity to apply Python and C# in different configurations and reflect on the roles that Python and C# play in their respective areas of responsibility. In the next step, it will be brought together how Python and C# are integrated into long-term developments. It will be shown how insights gained with Python and information processed with C# can be used for further decision-making. Finally, there will be a reflection on how Python and C# will play a role in future projects and how a conscious approach to Python and C# 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 conclusion of the training, the following module is the focus: "Microsoft Excel PowerPivot" provides participants with the fundamental knowledge and skills to use PowerPivot in Microsoft Excel. Participants will learn how to efficiently analyze large data sets, create data models, and develop interactive reports to make informed decisions.

Upcoming dates

• 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
• 2026-07-26T22:00:00.000Z · 2027-01-23T23:00:00.000Z · München · Combined Learning
• 2026-07-26T22:00:00.000Z · 2026-10-24T22:00:00.000Z · München · Combined Learning
• 2026-09-06T22:00:00.000Z · 2026-12-07T23:00:00.000Z · Eschborn, Taunus · Combined Learning