Educational course data analysis


Data analysis (step 5) is an important activity within the eight step DATATEAM® procedure. At the same time, it can be a pretty daunting task to make sense out of the available data. Which is the best way to display the collected data and how does one analyse it to draw conclusions? Experience tells us that this part of the procedure raises a lot of questions in the data teams. The project team of the University of Twente offered a course on data analysis to further support the team members in their data analysis. The project team created several opportunities for the team members to be submerged into the world of data analysis in both October and November.

The course on data analysis consisted out of two parts. During the first part of the course, team members became acquainted with displaying data and with the first, summarizing analyses related to the problem statement and the hypothesis. This is also known as descriptive data analysis.

Part two of the course focused on inferential data analysis for drawing conclusions with regard to the hypothesis. This lead to the discussion of possible techniques that can be used; for example, to detect differences between groups of pupils and to study correlations within the data.

The course as a whole was application oriented. The examples were relevant and recognisable for the teams. Moreover, the data team members had ample opportunity to try to carry out the analyses themselves on a pc under the guide of the course instructors. The course included an extensive instruction on how to use Excel as a tool for displaying and analysing data, which was greatly appreciated by the course participants. All participants were handed a reader as a reference book.

A new task has been set; practise with these newly obtained skills and put them to good use within the scope of the teams.