TU Wien:AKSTA Statistical Computing VU (Filzmoser)
Contents
Daten[edit]
| Lecturers | Prof. Filzmoser Peter |
|---|---|
| ECTS | 3 |
| Department | Stochastik und Wirtschaftsmathematik |
| When | summer semester |
| Links | tiss:107106 |
Mattermost: Channel "aksta-statistical-computing" • Team invite & account creation link • Mattermost-Infos
Inhalt[edit]
- 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
Ablauf[edit]
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[edit]
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 programming, control flow, functions, etc. in R. More in-depth R classes follow then and should deepen your understanding.
Vortrag[edit]
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Übungen[edit]
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Prüfung, Benotung[edit]
No exam, grading based exercises completed in DataCamp.
Dauer der Zeugnisausstellung[edit]
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Zeitaufwand[edit]
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Unterlagen[edit]
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Tipps[edit]
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Verbesserungsvorschläge / Kritik[edit]
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