Business Analytics - Tools for Analyzing Big Data

online course

The course is divided into the following four main modules under two topic areas of Descriptive Analytics (using Tableau as software) and Predictive Analytics (using R and Rattle as software):

Visualization (Descriptive Analytics)
Unsupervised Learning: Clustering (Descriptive Analytics)
Supervised Learning: Prediction (Predictive Analytics)
Supervised Learning: Classification (Predictive Analytics)

Our course goals are the following:

Students should be able to think critically about data analysis, which includes selecting the right type of analysis for a given task
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

Course leader

Hamed Mamani

Target group

Bachelor's level

Fee info

EUR 687: Exchange students: No Fee

Freemovers, EU/EEA: 687 EUR

Freemovers, NON-EU/EEA: 1579 EUR

Books, course materials, social programme, and housing are not included in the fee.

Scholarships

No scholarships available