Short Course Description
In the digital era, commercial, consumer and social processes are carried out on a broad scope in a digital environment. Operational and managerial systems, along with Internet websites and cellular devices enable routine collection of data concerning all activities performed in this environment. The ability to combine information concerning the consumer allow companies to build a complete picture of the consumption journey, from understanding consumer preferences, through analyzing business activities to the consumption decision making.
In spite of the richness of data collected, the ability to leverage advanced data analysis is not optimally utilized by companies to make decisions and achieve a significant business contribution.
The goal of the course is to develop data driven business thinking though an understanding of the tools and technologies that allow firms to address the business questions and challenges in the digital era.
The course deals with data driven business solutions and focuses on data mining methods and their applications using real world cases. Students will learn data analytics methodologies with a big data analytics tool ? Microsoft Azure ML Studio. During the course, we will review examples of data challenges from various domains and discuss the uses of data analytics to support managerial decisions.