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Data in applications

Course provider

Syddansk Universitet

Location

  • Odense

Description

The course introduces participants to basic common techniques for performing basic statistical, data mining and machine learning tasks. Participants will gain experience in recognizing the domain of application of the studied methods and will have the opportunity to experiment and apply the learnt techniques to selected problems and different types of data.

The following main topics will be covered:
- Statistics
- Descriptive statistics
- Basic parameters and estimation
- Probabilities and distributions
- Hypothesis testing
- Correlation and covariances
- Simple linear regression
- Data mining and machine learning
- Frequent Pattern Mining and Association Rule Mining
- Clustering
- Anomaly Detection
- Classification
- Practical data analysis

Participants are expected to have basic knowledge of programming (at an introductory level) e.g. in Python. No advanced programming experience is required.

Syddansk Universitet

Practical information

Course provider

Syddansk Universitet

Location

  • Odense

Course provider contact information

Contact the study administration
E-mail: lah@sam.sdu.dk

ECTS credits

10

About ECTS Credits
About ECTS points ECTS stands for European Credit Transfer System. This is a system that can be used for credit transfer within higher education abroad or in Denmark.

Course language

English

Offered to

Spring

Current level of education

Master/Kandidat

Course duration

We cannot specify the duration of the course, but go to the course providers to read more.

Syddansk Universitet

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