Data-analytiikkaLaajuus (5 op)

Osaamistavoitteet

The student knows the features of selected data analysis libraries and knows how to apply them in data preparation and statistical analysis. The student knows how to prepare data for machine learning algorithms.

Sisältö

- Data preparation
- Data visualization
- Data analysis
- Data management
- Data analytics libraries and modules

Arviointikriteerit, tyydyttävä (1)

The student knows how to prepare and modify example data for machine learning algorithms.

Arviointikriteerit, hyvä (3)

The student can select pertinent data preparation methods for given data and modify the data so that it can be used by machine learning algorithms.

Arviointikriteerit, kiitettävä (5)

The student can select the most pertinent data preparation methods for given data and modify the data so that it can be used by machine learning algorithms.