Data Analyst Controlling (m/f/d)

Course overview

Course Description The training course "Data Analyst Controlling (m/f/d)" imparts practical skills at the intersection of controlling, data analysis, and business intelligence. The goal is to prepare participants for the role of a Data Analyst in controlling, with solid knowledge in statistics, databases, programming, cloud computing, and data protection. In addition to classic controlling tools such as key figure systems and reporting, there is a special focus on the application of modern data science methods, professional handling of Python, and data visualization with Power BI. Additionally, the fundamentals of cloud computing and GDPR-compliant data processing are covered. Course Content Overview Data Science and Analysis Methods - Linear, multiple, and polynomial regression - Decision Trees, K-Means, and hierarchical clustering - Introduction to neural networks and signal processing - Project definition and data science standards - Agile vs. traditional working, certifications, and leadership styles Programming with Python - Python scripts, sequences, sets, and generators - Object-oriented programming, GUI design - CGI/WSGI web development, parallel data processing Controlling and Reporting - Tasks, goals, and instruments of controlling - Key figure analysis, departmental and participatory controlling - Visualization with Power BI - Report creation and suitable visualization types SQL and Databases - Basics of relational databases and physical modeling - Transactions, SQL functions, and client programming Cloud Computing and Virtualization - Introduction to IaaS and Kubernetes - Basics of virtualization technologies Data Protection and Big Data - GDPR requirements in the corporate context - Data protection organization and practical implementation Conclusion The course "Data Analyst Controlling (m/f/d)" is aimed at professionals who want to actively shape data-driven decision-making processes in controlling. It combines strategic controlling know-how with modern methods of data analysis and business intelligence. Graduates are capable of creating meaningful analyses, making forecasts using machine learning, and implementing data-driven projects securely and in compliance with data protection regulations.

Upcoming dates

• 2026-07-29T22:00:00.000Z · 2026-11-28T23:00:00.000Z · Augsburg, Bayern · Combined Learning
• 2026-07-29T22:00:00.000Z · 2027-04-02T22:00:00.000Z · Augsburg, Bayern · Combined Learning
• 2026-08-01T22:00:00.000Z · 2026-12-01T23:00:00.000Z · Ingolstadt, Donau · Combined Learning
• 2026-08-01T22:00:00.000Z · 2027-04-05T22:00:00.000Z · Ingolstadt, Donau · Combined Learning
• 2026-08-02T22:00:00.000Z · 2026-12-02T23:00:00.000Z · Landshut, Isar · Combined Learning