Smart Products & Solutions PT
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Data Analytics & Visualization

level of course unit

second cycle, Master

Learning outcomes of course unit

The graduate / student:* can describe the contents, results/applications and working methods of Data Science
* can convert "questions" into requirements in the context of Data Science
* can define the process and tools based on these and implement / use them
* knows a software with libraries for implementing data analysis and evaluation
* can use appropriate software
* can carry out suitable evaluations and analyses using the software for defined examples

prerequisites and co-requisites


course contents

* Introduction (data, information, knowledge, temporal components, objectives)
* Data process (collection, preparation, analysis, presentation)
* Data preparation (cleansing, transformation, rescaling, storage)
* Approaches for the analysis of data
* Presentation/visualization of results
* Software (open source and proprietary software)
* Machine Learning - process, approaches, implementation
* Introduction to the software used e.g. Python
* Collecting and preparing data using software
* Analysis and presentation of sample data using various approaches (e.g. regression, decision trees, etc.)

recommended or required reading

Runkler Th.; Information Mining; vieweg; 2000
Langit L.; Smart Business Intelligence Solutions with Microsoft SQL Server; Microsoft Press; 2008
Petersohn H.; Data Mining; Oldenbourg; 2005
Provost F., Fawcett T.; Data Science for Business; O’Reilly; 2013
Milton M.; Head First Data Analysis; O’Reilly; 2009

assessment methods and criteria


language of instruction


number of ECTS credits allocated


eLearning quota in percent


course-hours-per-week (chw)


planned learning activities and teaching methods

Lecture, individual work with software, group work, presentation and discussion of tasks

semester/trimester when the course unit is delivered


name of lecturer(s)

Dipl.-Ing. Christoph Fröschl

course unit code


type of course unit

integrated lecture

mode of delivery