HD1
Business Intelligence II
Lær at anvende Machine Learning til at analysere komplekse data og skabe bedre beslutningsgrundlag. Kurset giver dig praktiske værktøjer til at arbejde med Big Data, Deep Learning og Business Intelligence i erhvervs- og samfundsøkonomiske sammenhænge.
Start: Uge 1, 2027
About the course
Fra data til bedre beslutninger
Virksomheder og organisationer har adgang til stadigt større datamængder (Big Data), men har ofte behov for medarbejdere, der kan omsætte komplekse datasammenhængen til beslutningsrelevant viden (Deep Learning). På Business Intelligence II lærer du, hvordan Machine Learning kan bruges til at identificere mønstre og sammenhænge, som kan understøtte intelligent og effektiv udnyttelse af data i praksis (Business Intelligence).
Kurset giver en anvendelsesorienteret introduktion til centrale Machine Learning-metoder og deres anvendelse på erhvervs- og samfundsøkonomiske problemstillinger. Du arbejder med konkrete datasæt og opnår praktisk erfaring med at vælge relevante modeller, gennemføre analyser og fortolke resultater.
Undervisningen tager udgangspunkt i softwareprogrammet R, men kræver ikke forudgående programmeringserfaring. Samtidig får du indsigt i modellernes muligheder og begrænsninger, så du kan vurdere, hvornår forskellige metoder er relevante at anvende.
I faget får du en introduktion til en række af de mest anvendte metoder inden for Machine Learning. Metoderne gør det muligt at analysere data, identificere mønstre og udvikle modeller, der kan bruges til at forudsige og understøtte forretningsmæssige beslutninger. Du arbejder blandt andet med logistisk regression, decision trees, random forests, neurale netværk og andre centrale Machine Learning-teknikker.
Dette kursus er relevant for dig, hvis du gerne vil:
- arbejde mere datadrevet i analyse-, udviklings- eller beslutningsprocesser.
- forstå, hvordan Machine Learning kan skabe værdi i virksomheder og organisationer.
- styrke dine kompetencer inden for Big Data, Deep Learning og Business Intelligence.
- kunne gennemføre analyser i softwareprogrammet R uden nødvendigvis at have den store programmeringserfaring.
- blive bedre til at omsætte data til indsigt, der kan understøtte beslutninger i praksis.
Dit udbytte:
- Lær at anvende centrale Machine Learning-metoder til at analysere konkrete erhvervs- og samfundsøkonomiske problemstillinger.
- Du kan identificere og vælge relevante analysemodeller ud fra en given problemstilling og det tilgængelige datagrundlag.
- Vil kunne argumentere for de vigtigste forudsætninger, styrker og begrænsninger ved forskellige Machine Learning-teknikker.
- Får kompetencer til at vurdere analysers robusthed og følsomhed over for ændringer i data og metodevalg.
- Formidle resultater og konklusioner fra Machine Learning-analyser på en struktureret måde med fokus på deres praktiske anvendelse i organisationer
Facts
Læs om priser
Forårssemester 2027
| Tilmeldingsfrist: | 17. december 2026 |
| Undervisningsperiode: | Uge 1 - 10 |
| Online undervisning: | Onsdag kl. 17.10 - 20.40 |
| Eksamen: | Se semesterplan |
Fagansvarlig
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Til dig som ønsker at være med til at drive den bæredygtige udvikling inden for rammerne i den virksomhed, hvor du arbejder.
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Design af undersøgelser og analyser
Efter kurset vil du være kvalificeret til at planlægge og gennemføre analyser og ikke mindst vurdere kvaliteten af data og undersøgelser, som du selv eller andre har gennemført.
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Lær at omsætte data til indsigt og bruge den aktivt i forretningsmæssige beslutninger. Gennem analyseværktøjer og AI lærer du at skabe et stærkere grundlag for beslutninger i en datadrevet virkelighed.
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