Analysis of business data aims at developing skills of using statistical population characteristics and constructing and using data mining for data analysis. The goal of the subject is also perfecting the knowledge of classic and modern techniques of data analysis on the example of financial data. The following topics are planned to realize: 1. Gathering, development and graphic presentation of data. 2. Elements of business data descriptive analysis. 3. Analysis of phenomena interdependence, correlation and regression. 4. Use of technical and fundamental analyses for financial data analysis. 5. Use of issues connected with Fibonacci and Pivot levels. 6. Use of neural networks for business data analysis. Aim of the classes is educating students’ skills of using the most important methods used in data mining.
- Teacher: Przybyła-Kasperek Małgorzata