The course is structured in 3 modules.
This module will prove a condensed introduction to the “Data Science Pipeline”, introducing students to methods, techniques, and workflows in applied data analytics and machine learning, including data acquisition, preparation, analysis, visualization, and communication.
Focuses on analyzing a variety of unstructured data sources. Particularly, students will learn how to explore, analyze, and visualize natural language (text) as well as relational (network) data.
Introduces to the most recent developments in machine learning, which are deep learning and artificial intelligence applications. The module will provide a solid foundation for this exciting and rapidly developing field. Students will learn whether and how to apply deep learning techniques for business analytics, and acquire proficiency in new methods autonomously.