Data Analytics II

Catalog description

The course provides a comprehensive overview of data mining. Students will learn different methods, such as data collection and selection, data cleaning and transformation, pattern discovery and knowledge extraction, including traditional statistical analysis and basic machine learning techniques. Students will analyze large data sets and learn to develop modeling solutions to support decision-making in a professional domain. In so doing, students will gain insight into how data analytics is applied in professional fields.