Study Guide

Objective

After completing the course, the student
-can analyze and interpret data
-can pre-process and prepare tabular data for analysis
-can evaluate the possibilities of using the principles of algorithmic thinking and machine learning in terms of their own work
-can define the central principles of ethics related to the use of data

Content

- Principles of algorithmic thinking
- Basics of machine learning
- Basics of data literacy
- Preparation and pre-processing activities required by data analysis
- Data analysis and visual review
- Interpretation of text and structural data

Assessment criteria, approved/failed

The assessment focuses on working during the study period and the achievement of competence goals. In order to complete the course, the required areas must have been successfully completed. The student can analyze and interpret data and evaluate the possibilities of using the principles of algorithmic thinking and machine learning.