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Advanced Data ScienceLaajuus (5 op)

Opinnon tunnus: TO00CD64

Laajuus

5 op

Osaamistavoitteet

The student is able to
- utilise the fundamental concepts and principles of AI, machine learning and data science tools
- utilise technology to effectively visualise data, create interactive dashboards and communicate insights to stakeholders
- develop skills in programming for data analysis, manipulation, visualisation and implementation of machine learning models
- apply advanced AI and machine learning techniques and methodologies to analyse complex data sets and develop predictive models

Esitietovaatimukset

To participate in the study unit, you must have completed the study unit Data-driven IT or have equivalent knowledge.

Lisätiedot

The learning outcomes of the study unit/project are evaluated based on the requirement level 2 of Laurea's common evaluation criteria.

Ilmoittautumisaika

19.05.2025 - 25.05.2025

Ajoitus

01.08.2025 - 31.12.2025

Opintopistemäärä

5 op

Virtuaaliosuus

5 op

Toteutustapa

Etäopetus

Yksikkö

10 Liiketalous-, tietojenkäsittely- ja palvelualat

Toimipiste

Laurea Verkkokampus

Opetuskielet
  • Englanti
Paikat

20 - 40

Koulutus
  • Complementary competence, bachelor's studies in English (CCN2), Information and Communication Technologies (ICT)
Opettaja
  • Mitha Jose
Vastuuopettaja

Mitha Jose

Ryhmät
  • CCN225SY
    Complementary competence (bachelor’s studies in English), S25, Information and Communication Technologies (ICT)

Osaamistavoitteet

The student is able to
- utilise the fundamental concepts and principles of AI, machine learning and data science tools
- utilise technology to effectively visualise data, create interactive dashboards and communicate insights to stakeholders
- develop skills in programming for data analysis, manipulation, visualisation and implementation of machine learning models
- apply advanced AI and machine learning techniques and methodologies to analyse complex data sets and develop predictive models

Arviointiasteikko

H-5

Esitietovaatimukset

To participate in the study unit, you must have completed the study unit Data-driven IT or have equivalent knowledge.

Lisätiedot

The learning outcomes of the study unit/project are evaluated based on the requirement level 2 of Laurea's common evaluation criteria.