



Alexander Schmidt
This Data Analytics course provides 540 hours of instruction, including hands-on tasks, 1:1 feedback sessions, and guidance from two experienced coaches. The program covers essential analytical skills, including data visualization, data processing, and machine learning using Python. Additionally, participants are trained in Agile methodologies, Kanban, stress management, and presentation techniques. The final four weeks of the course are dedicated to a digital capstone project, allowing students to apply their knowledge in a practical setting.
This course is designed for individuals with a university degree or relevant work experience who enjoy problem-solving. A background in mathematics, physics, or familiarity with business tools like CRM or ERP software can be beneficial. Experience with Excel and basic programming skills are also helpful. The program embraces diversity and welcomes all motivated learners, regardless of gender, background, or orientation.
In this 12-week course, students will learn to identify business problems and solve them using data. Working with stakeholders to translate business challenges into mathematical tasks is a key focus. Participants will gain proficiency in tools like Tableau for data visualization, APIs and SQL for data processing, and Python for implementing machine learning.
Skills / Knowledge
- python
- Tableu
- SQL
- Agile Methodologies
- Pandas
- Unix
- Git
- Github
- APIs