24 July 2024
Data Analytics: Tools for Big Data
The course is designed as an interactive blend of lectures, in-class activities, and quizzes. It introduces data analytic techniques through the use of quantitative tools and sophisticated software, including R and Tableau. While R will be utilized, the course is not centered on coding. Instead, the emphasis will be on the data analytics process. The techniques we explore originate from fields such as machine learning, statistics, and optimization.
Course leader
Mamani Hamed, University of Washington, Seattle, United States
Target group
Master students (and Bachelor students in their final year) as well as recent graduates and young professionals who wish to acquire new knowledge in specific areas
Course aim
Our course goals are the following:
1. Students should be able to think critically about data analysis, which includes selecting
the right type of analysis for a given task.
2. Students should be able to identify opportunities of applying data analytics, in real
business settings.
Students should be well equipped to become data-savvy managers.
Credits info
7 EC
Certificate of Attendance: awarded at the end of the summer school to all students who complete the 3-week programme.
Transcript of records (with credits and grades): awarded only to students who complete all course obligations and pass the final examination.
Fee info
EUR 650: You can find more information on our website.
Scholarships
None.