After successful completion of the course, students are able to...
explain the central concepts in data science.
explain the different parts of a data analysis process..
explain selected data analysis methods and apply them in a python environment
explain the crucial aspects for acurate data visualisations.
interpret ans explain different typs of plots.
select the right type of plot for concrete applications,.
We wil address the following aspects of datenanalysis and visualisation via selected topics:
Central terms in the context of data analysis & visualisation
The Datenanalysis Process
Data Wrangling
Exploring Data
Supervised Learning
Unsupervised Learning
Accurate Visualisation of Data
The course contains classroom lectures and exercises.Exercises include the application of data analysis techniques with Python.
Kick-off: 05.10.2021 18:15 via Zoom (Link in TUWEL)
Contact: dav@list.tuwien.ac.at
The grading is based on
This course is exclusively for students of the program 045 006 "Digital Skills". Registrations with a different code unfortunately will be rejected.
Please also note that you have to successfully finished both, the STEOP in your main program and the course "Foundations fo programming and algorithms".
The student must have at least 1 of the course(s) completed listed below:
Python Programming
