Data Analytics with Python (5cr)

Objective

The student acquires basic knowledge regarding data analysis libraries in programming. The student knows how to use data analysis libraries and statistical analysis to prepare data for machine learning algorithms.

Basic programming skills are required for this course.

Content

- Data preparation: loading, filtering, combination, classification
- Data visualization, exploration and analysis
- Using appropriate data analysis libraries in programming

Assessment criteria, satisfactory (1)

The student is able to prepare and modify a simple data set under instruction for machine learning algorithms or a cloud computing service.

Assessment criteria, good (3)

The student is able to choose appropriate data preparation methods independently to produce data for machine learning algorithms or a cloud computing service.

Assessment criteria, excellent (5)

The student is able to choose the most suitable data preparation methods independently to produce data for machine learning algorithms or a cloud computing service.