Data Analytics and Machine Learning (6cr)
Code: SY00CB89-3001
General information
- Timing
- 01.01.2025 - 31.07.2025
- Implementation has ended.
- Number of ECTS credits allocated
- 6 cr
- Local portion
- 6 cr
- Mode of delivery
- Contact learning
- Unit
- 30 Ylemmät ammattikorkeakoulututkinnot
- Campus
- Laurea Virtual Campus
- Teaching languages
- English
- Seats
- 20 - 30
- Degree programmes
- Degree Programme in Managing Digital Transformation in the Health Sector (SYV9), Laurea Tikkurila
- Teachers
- Mitha Jose
- Teacher in charge
- Mitha Jose
- Groups
-
SYV924SJDegree Programme in Managing Digital Transformation in the Health Sector, yamk, S24, Tikkurila
-
NYV124SJDegree Programme in Managing Digital Transformation in the Health Sector, yamk, S24, Tikkurila
- Study unit
- SY00CB89
Learning outcomes
Student is able to:
- Apply and understand various stages within the realm of machine learning.
- Recognize and locate crucial data points.
- Employ imputation techniques for data replacement and establish appropriate metrics.
- Identify and employ supervised and unsupervised algorithms suitable for health data analysis.
- Evaluate and interpret the performance of the various machine-learning algorithms on health data.
- Implement a machine learning pipeline in an ML toolkit.
Evaluation scale
Approved/Failed