Data Analytics and Machine Learning (6op)
Toteutuksen tunnus: SY00CB89-3003
Toteutuksen perustiedot
- Ajoitus
- 01.01.2026 - 31.07.2026
- Toteutus on käynnissä.
- Opintopistemäärä
- 6 op
- Lähiosuus
- 0 op
- Virtuaaliosuus
- 6 op
- Toteutustapa
- Etäopetus
- Yksikkö
- 30 Ylemmät ammattikorkeakoulututkinnot
- Toimipiste
- Laurea Verkkokampus
- Opetuskielet
- englanti
- Koulutus
- Degree Programme in Managing Digital Transformation in the Health Sector (SYV9), Laurea Tikkurila
- Opettajat
- Mitha Jose
- Ryhmät
-
SYV925SJDegree Programme in Managing Digital Transformation in the Health Sector, yamk, virtual studies, S25, Tikkurila
-
NYV125SJDegree Programme in Managing Digital Transformation in the Health Sector, yamk, virtual studies, K25, Tikkurila
- Opintojakso
- SY00CB89
Tavoitteet
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.
Arviointiasteikko
H-5