192.103 Fundamentals of Data Analysis and Visualization
This course is in all assigned curricula part of the STEOP.
This course is in at least 1 assigned curriculum part of the STEOP.

2023W, VU, 2.0h, 3.0EC
TUWELLectureTube

Properties

  • Semester hours: 2.0
  • Credits: 3.0
  • Type: VU Lecture and Exercise
  • LectureTube course
  • Format: Blended Learning

Learning outcomes

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 and explain different typs of plots.

  • select the right type of plot for concrete applications,.

Subject of course

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

Teaching methods

The course contains classroom lectures and exercises.
Exercises include the application of data analysis techniques with Python.

Mode of examination

Immanent

Additional information

Contact: dav@list.tuwien.ac.at

Lecturers

Institute

Course dates

DayTimeDateLocationDescription
Tue18:00 - 19:0003.10.2023EI 8 Pötzl HS - QUER Vorbesprechung
Tue18:00 - 20:0023.01.2024EI 8 Pötzl HS - QUER Repetitorium

Examination modalities

The grading is based on

  • number and evaluation of solved exercises
  • grading of the test

Course registration

Begin End Deregistration end
18.09.2023 00:00 20.10.2023 23:59 20.10.2023 23:59

Registration modalities

This course is exclusively for students of the program 045 006 "Digital Skills". Registrations with a different code unfortunately will be rejected (this also holds for ERASMUS students).

Please also note that you have to have successfully finished both, the STEOP in your main program and the course  "Foundations fo programming and algorithms".

Precondition

The student must have at least 1 of the course(s) completed listed below:

Curricula

Study CodeObligationSemesterPrecon.Info
045 006 Digital Skills MandatorySTEOP
Course requires the completion of the introductory and orientation phase

Literature

No lecture notes are available.

Previous knowledge

Basics in Python Programming

Preceding courses

Language

German