discdown.org Open in urlscan Pro
138.232.16.219  Public Scan

Form analysis
0 forms found in the DOM

Text Content

 * Home
 * About

Introduction to Programming with R




Introduction to Programming with R is a learning resource for programming
novices who want to learn programming using the statistical programming language
R. One of the mayor strengths of R is the large variety of packages and methods
for data analysis. However, the aim of this resource is to learn and practice
basic programming and to learn and understand the basic concepts of programming
using base R. Only few additional packages will be used and/or briefly discussed
for special tasks.

This book is specifically taylored to participants of the course Introduction to
Programming: Programming in R offered by the Digital Science Center (DiSC) at
Universität Innsbruck.



Open course
Data Analytics




Data Analytics is a new course organized jointly for the bachelor curriculum
Wirtschaftswissenschaften and the complementary subject area Digital Science at
Universität Innsbruck and its Digital Science Center (DiSC).

The topics covered encompass multivariate analysis, cluster analysis,
independence (A/B) testing, (generalized) linear models, flexible regression.

The main teaching resources are provided in an OLAT course (open to guests).
Here, a growing list of accompanying R tutorials will be provided.



Open course
Flexible Regression Models




This course is about Flexible Regression Models. The course provides detailed
knowledge of methods for the analysis and modeling of complex data using modern
semiparametric methods. The course aims at being able to independently handle
complex regression questions, using the statistical software R, and to
communicate the results. The course includes a variety of applied and simulated
examples and offers dozens of helpful code snippets that can be used to work on
your own problems.



Open course
Scientific Coding in Julia




Scientific Coding in Julia is a learning resource for all those who are
interested in getting a brief glimpse into Julia, Data Science and/or Parallel
Computing. It is designed to fill roughly twelve hours of in-classroom teaching
and was prepared for a workshop at the DK CIM & DP DOCC Summerschool 2022 in
Obergurgl. However, the material is self-contained and therefore also suitable
for self-study.



Open course
Applied Microeconometrics with R




Applied Microeconometrics with R is an project that will gradually turn the
course materials for the Econometrics and Statistics: Microeconometrics course
at Universität Innsbruck into an online book.

The topics covered roughly follow the book Analysis of Microdata by Winkelmann &
Boes (2009, Springer-Verlag) and encompass: models for categorical responses
(binary, multinomial, ordered), count data, limited dependent variables, and
duration models.



Open course
Meteo API




The Meteo API provides access to a large climatological data set with decades of
observations across Germany. Allows to request data in different formats to
practice the interaction with APIs and encoding XML/JSON data.

This resource is used in introductory courses to data management (R/Python) such
as Introduction to Data Management: Management of Unstructured, Semi-Structured
and Structured Data offered by the Digital Science Center at Universität
Innsbruck.



Open resource
 * Website Universität Innsbruck
 * DiSC, Universität Innsbruck