TU Wien:AKSTA Statistical Computing VU (Filzmoser)

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Vortragende Prof. Filzmoser Peter
Abteilung Stochastik und Wirtschaftsmathematik
Wann Sommersemester
Links tiss:107106
Master Data Science Pflichtmodul FDS/FD - Fundamentals of Data Science - Foundations
Bachelor Medizinische Informatik Wahlmodul Statistische Datenanalyse
Bachelor Software & Information Engineering Wahlmodul Statistische Datenanalyse

Mattermost: Channel "aksta-statistical-computing" Team invite & account creation link Mattermost-Infos


  • Programming in R (basics, and focus on solving problems related to statistical aspects of Data Science)
  • How to read in data from files, clean them, organize them.
  • some parts of the "tidyverse"
  • Data visualization with R (base, ggplot2)
  • basic SQL


This class makes use of the platform DataCamp. Students get (time-limited) access to the platform where they can (have to) take relevant courses, related to programming in R. Including how to read in, handle, visualize data, etc. The access allows also to do other classes, not related to R, such as for Python, SQL, and more, which is very nice!

There are also weekly classes where some material is discussed [I did not attend, so can't say anything, someone else please fill in ;-)]

Benötigte/Empfehlenswerte Vorkenntnisse[Bearbeiten]

Some knowledge in R will make the start easier, but there are at least two courses, namely "Introduction to R" and "Intermediate R" that will get you started from zero. These will teach you about the basic variables, data structures, etc., as well as porgramming, control flow, functions, etc. in R. More in-depth R classes follow then and should deepen your understanding.


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Prüfung, Benotung[Bearbeiten]

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Dauer der Zeugnisausstellung[Bearbeiten]

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Verbesserungsvorschläge / Kritik[Bearbeiten]

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