Students will learn the basics of data analytics and become familiar with the use of specialized software solutions solving practical problems, as well as acquire knowledge in the following areas:
- analyzing data from different sources,
- data manipulation in Python,
- preparation of the reports in Excel (Power Pivot),
- data visualization,
- connecting the traditional work environment with the virtual work environment.

1. Data analytics and decision making in business
2. Data analytics process
3. Introduction to data bases
4. Introduction to Python
5. Basics of Manipulation of data in Python
6. Exploratory data analysis with Python
7. Preparing data for analysis with MS Excel (Power Pivot)
8. Introduction to visualisation and preparation of reports
9. Using modern technologies for data analytics (e.g. VR headset)