Data Engineering with Azure (2cr)
Code: ED00CX97-3002
General information
- Enrollment
- 31.12.2025 - 30.11.2026
- Registration for the implementation has begun.
- Timing
- 01.01.2026 - 31.12.2026
- Implementation is running.
- Number of ECTS credits allocated
- 2 cr
- Local portion
- 0 cr
- Virtual portion
- 2 cr
- Mode of delivery
- Distance learning
- Unit
- Teknologia
- Teaching languages
- English
- Seats
- 0 - 2000
- Teachers
- Anna Karppinen
- Scheduling groups
- KAMK 1 (Size: 1000 . Open UAS : 1000.)
- Small groups
- KAMk 1
- Course
- ED00CX97
Unfortunately, no reservations were found for the realization Data Engineering with Azure ED00CX97-3002. It's possible that the reservations have not yet been published or that the realization is intended to be completed independently.
Evaluation methods and criteria
The course is completed when all course assignments are completed.
Evaluation scale
Hylätty/Hyväksytty
Content
The role and tasks of a data scientist in Azure, fundamentals of machine learning models with Azure Machine Learning, data preprocessing, and analysis.
Assessment criteria, approved/failed
The course is completed when all course assignments are completed.
Further information
The role and tasks of a data scientist in Azure, fundamentals of machine learning models with Azure Machine Learning, data preprocessing, and analysis