Course topics include data quality, governance, process automation using solutions like RPA, and statistical techniques such as regression analysis and hypothesis testing. The curriculum covers time series analysis, forecasting methods, and explores linear and nonlinear optimization, including integer programming. Decision support through data analytics is addressed, covering areas like customer segmentation, supply chain analytics, and spatial analytics. A/B testing, key metrics for AI projects, and a review of Business Intelligence tools are included, along with an examination of the latest advancements in business analytics.
- ECTS credits: 6 ECTS
- Places available: 10
- Format: On-site
- Language: Lithuanian
- Target: ICT graduates
- Price: Free of charge
- Contact: simona.ramanauskaite@vilniustech.lt
- More information here.