Background

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

Learning contents

• MATLAB basics
• Importing and exporting data
• Programming basics
• Datatypes
• Scripts
• Functions
• Basic plotting tools

Learning objectives

Learn how to use MATLAB 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)

• MATLAB installation and license
  • Please make sure, you have a functional current version of MATLAB including a valid license before the workshop

The Lecturers

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, Faculty of Business Studies and Economics.

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

This event is organized by