Further Education R - Software and Tools for Financial Data Analytics // University of Oldenburg

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From the Gaussian test to simulations - create and visualise statistical analyses

The free statistical software R is used for data analyses in the financial sector. The module teaches the basic tools and how they can be expanded through self-research and supplementary infrastructure. Participants gain practical experience with the implementation of basic methods of applied statistics in R. The focus is on the selection and adaptation of models, exploratory data analysis and simulations as well as testing and estimation. The module teaches how data and results can be visualised and reported and provides an initial insight into programming and machine learning.

Lecturer

Prof Dr Peter Ruckdeschel

Professor of "Mathematics with a focus on applied statistics"
University of Oldenburg

Your gain in expertise

The participants can ...

implement statistical methods in R.

work with R-Studio and shiny apps and create reports with knitR.

Import data from external databases and other sources.

implement basic concepts of the module Quantitative Methods in R.

Further education at a glance

Certificate

University certificate

Dates

Coming soon

Time required and scope

5-8 hours per week, 6 credit points

Teaching format

Part-time, internet-based, compact practical workshops at the weekend

Prerequisites

None

Costs

1,200 euros for enrolled students or 1,500 euros for guest students plus university fee

Who is the programme aimed at?

The module is aimed at the self-employed and employees in the financial sector. It can be taken as certified further education or as part of the part-time degree programme Risk Management and Financial Analysis. The university certificate is fully recognised for the degree course. This means you can start your studies without enrolment!