Background

Programming language (like Python, R oder MATLAB) skills are a necessary prerequisite for working with big data and applying advanced data science methods.

Learning contents

• R Basics
• Importing and Exporting Data
• Programming Basics
• Datatypes
• Scripts
• Functions
• Basic Plotting Tools

Learning objectives

Learn how to use R to apply data science methods and turn data into insight.

Prior knowledge

none

Technical requirements

• Own laptop

• Connection to Wifi via eduroam or equivalent access (see: https://www.uni-bremen.de/en/zfn/wifi/overview-wifi)

• Installations will be done in the workshop

The Lecturer(s)

Dr. Gerrit Liedtke Dr. Gerrit Liedtke is a postdoc at the University of Bremen, Faculty of Business Studies and Economics.	Tobias Neumaier Tobias Neumaier is PhD Candidate and Research Assistant at the University of Bremen

Find out more about the Data Train lectures on our website.

This event is organized by