Data Analytics

PhD students at LUSEM with expertise knowledge in a broad range of quantitative applications and software, including Mathematics, Statistics, Econometrics, Quantitative Research Methods, Python, R, Excel, Java, Stata, MATLAB, Eviews, and Gretl.

They are available at the Data Science Lab in the LUSEM library room B:307 every Thursday at 14-16 to give help regarding research design and data analysis, for example for the Bachelors or Masters thesis.

Presents the first comprehensive encyclopedic overview of big data.
Encompasses relevant research-based and practice-based topics.
Springer

New developments in computer science and information technology research and teaching.
Springer

A bibliographic database that covers scientific literature in the fields of Electrical Engineering, Physics, Electronics and Computer Science.
Hosted on the Engineering Village platform.

A free distribution service and an open-access archive for scholarly articles in the fields of physics, mathematics, computer science, quantitative biology, quantitative finance, statistics, electrical engineering and systems science, and economics. Materials on this site are not peer-reviewed by arXiv.

This is an R Shiny app to search for economic articles that have provided data and code for replication purposes.
Created by Sebastian Kranz, Ulm University

The part Datasets -
Master quantitative and qualitative data analysis with step-by-step guides and sample data