The University Computer Centre regularly organises IT training courses for students by students for you. Courses on current software are held, including Excel and an R course.
On this page you will find an overview of currently offered IT courses and helpful information about them.
The Excel course (semester-long) provides students with an overview of programming skills for analysing data and visualising it with the Microsoft Excel 2019 programme, teaching technical skills in the Excel and Word programmes and a systematic approach to preparing and presenting work. In addition, the basics of spreadsheets and topics such as creating charts, using (complex) formulas, conditional formatting, data validation, PivotTable and PivotCharts, integrating content from Excel into Word and writing form letters are covered.
The Excel block course provides students with an overview of programming skills for analysing data and visualising it with the Microsoft Excel 2019 programme, teaching technical skills in the Excel and Word programmes and the systematic approach to preparing and presenting work. In addition, the basics of spreadsheets and topics such as creating charts, using (complex) formulas, conditional formatting, data validation, PivotTable and PivotCharts, integrating content from Excel into Word and writing form letters are covered.
The training course on the free programming language R is new in the programme. The course starts in April 2022 and offers a basic introduction to R.
No knowledge is assumed.
Participants will learn the basics of programming with R, how to use the programming environment RStudio with confidence, the basics of data management, how to expand the range of functions with packages, how to automate redundant workflows, how to create graphics that can be published, how to present results with RMarkdown, and they will be given an outlook on a wide range of other possible applications.
The application-oriented training on the free programming language R is offered alternately on two weekend dates and as a block course during the semester.
No programming knowledge is assumed. However, basic knowledge of statistics is an advantage.
Participants learn how to use the programming environment RStudio, the basics of data management, calculating descriptive statistics, setting up regression models and creating graphics.