403039 VU Data Analytics
winter semester 2021/2022 | Last update: 04.10.2021 | Place course on memo listUniv.-Prof. Dr. Achim Zeileis Univ.-Prof. Dr. Achim Zeileis, +43 512 507 70403
Ability to independently work out statistical problems based on applied
questions, using statistical software, and communicating the results.
Statistical modeling using supervised and unsupervised learning.
Presentation of lecture slides by lecturer.
Preparation, presentation, and discussion of exercises and empirical case studies by participants.
Online tests (30%), short presentations of empirical case studies (30%), written exam (40%).
(Wiwi:) Positive Beurteilung der Pflichtmodule Einführung in die Betriebswirtschaft und Einführung in die Volkswirtschaft
(DISC:) Keine
The module uses the statistical software environment R (https://www.R-project.org/) for the empirical case studies.
Prior knowledge in R and statistical methods, respectively, is not strictly necessary but helpful for making the materials more accessible.
Students in the bachelor programme "Management and Economics" are recommended to attend the module "Statistical Data Analysis" before.
Students in the programme "Digital Science" are recommended to attend the module "Introduction to Programming with R" before.
Group 0
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Date | Time | Location | ||
Tue 2021-10-05
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16.00 - 17.45 | eLecture - online eLecture - online | ||
Thu 2021-10-07
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08.00 - 09.45 | eLecture - online eLecture - online | ||
Tue 2021-10-12
|
16.00 - 17.45 | eLecture - online eLecture - online | ||
Tue 2021-10-19
|
16.00 - 17.45 | eLecture - online eLecture - online | ||
Thu 2021-10-21
|
08.00 - 09.45 | eLecture - online eLecture - online | ||
Thu 2021-11-04
|
08.00 - 09.45 | eLecture - online eLecture - online | ||
Tue 2021-11-09
|
16.00 - 17.45 | eLecture - online eLecture - online | ||
Tue 2021-11-16
|
16.00 - 17.45 | eLecture - online eLecture - online | ||
Thu 2021-11-18
|
08.00 - 09.45 | eLecture - online eLecture - online | ||
Tue 2021-11-23
|
16.00 - 17.45 | eLecture - online eLecture - online | ||
Thu 2021-11-25
|
08.00 - 09.45 | eLecture - online eLecture - online | 1. Onlineklausur / Online exam 1 | |
Tue 2021-11-30
|
16.00 - 17.45 | eLecture - online eLecture - online | ||
Thu 2021-12-02
|
08.00 - 09.45 | eLecture - online eLecture - online | ||
Tue 2021-12-07
|
16.00 - 17.45 | eLecture - online eLecture - online | ||
Tue 2021-12-14
|
16.00 - 17.45 | eLecture - online eLecture - online | ||
Thu 2021-12-16
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08.00 - 09.45 | eLecture - online eLecture - online | ||
Tue 2022-01-11
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16.00 - 17.45 | eLecture - online eLecture - online | ||
Thu 2022-01-13
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08.00 - 09.45 | eLecture - online eLecture - online | ||
Tue 2022-01-18
|
16.00 - 17.45 | eLecture - online eLecture - online | ||
Tue 2022-01-25
|
16.00 - 17.45 | eLecture - online eLecture - online | ||
Thu 2022-01-27
|
08.00 - 09.45 | eLecture - online eLecture - online | ||
Tue 2022-02-01
|
16.00 - 17.45 | eLecture - online eLecture - online | 2. Onlineklausur / Online exam 2 |