Advanced Methods of Data ProcessingLaajuus (5 cr)

Objective

The goal of the course is to get to know the advanced methods of data processing, using the python libraries NumPy, Pandas, and Matplotlib. The course covers the calculation of data characteristics, data distributions, data visualization and the use of regular expressions (regex). The course also introduces data clustering.

Using these methods, the course creates a data processing chain (pipeline), which is used to perform feature engineering from the data.

Assessment criteria, excellent (5)

The course consists of several exercises. At least 92% of the course's practice points must be accumulated for a grade of 5.

Assessment criteria, satisfactory (1)

The course consists of several exercises. At least 50% of the course's practice points must be accumulated for grade 1.