Introduction to Data Processing, Analysis and Visualisation (SZF_270)
About Study Course
Objective
The course aims to develop basic student skills in data preparation, descriptive analysis, and visualization to create correct summaries, clear visualizations, and simple interactive reporting (Dashboard) from the output data in Excel and BI tools (Power BI/tableau). During the course, students develop the skills to ensure data quality, correctness of calculations, reproducibility and responsible use of data and AI tools, including validation of results.
Prerequisites
High school math course. Basic skills for working in MS Excel are desirable.
Learning outcomes
1.Describes the importance of data, data breakdowns, types of data sources and data quality criteria
1.Imports data in Excel, structures it in a table, performs data cleaning and transformations, and creates summaries using PivotTables and PivotCharts
1.Organise work independently from formulating a goal to presenting results by choosing appropriate tools and techniques
Study course planning
| Study programme | Study semester | Program level | Study course category | Lecturers | Schedule |
|---|---|---|---|---|---|
| International Business and Start-up Entrepreneurship | 2 | Bachelor | Limited choice |
| Study programme | Study semester | Program level | Study course category | Lecturers | Schedule |
|---|---|---|---|---|---|
| International Marketing and Advertising | 3 | Bachelor | Limited choice | ||
| International Business and Sustainable Economy | 5 | Bachelor | Limited choice |
