822033 :Journalistic Data Mining (DJ/BDM/CD)


Voertaal Engels
Werkvorm: Formal lectures, in-class tutorials, guest lectures (Geen informatie over collegetijden bekend)
Tentamenvorm: In-class exercises, report on a data journalistic research (Geen informatie over tentamendata bekend)
Studielast:6 ECTS credits
Inschrijving:Enrolment from October 1 to October 20
Blackboard informatieniet beschikbaar in Blackboard


drs. H.A.F.J. van der Kaa MBA

N.J.E. van Noord MA

Doel van de cursus

In this practical course you learn how to handle the most common easy-to-use data mining tools (no programming skills are needed!) With these tools you will be able to extract, clean, analyze and visualize data. Students will learn how to distract a journalistic story from a data set. By doing this, students will conduct a full journalistic investigative data research during this course

Inhoud van de cursus

Journalistic data mining is the process of finding correlations or patterns among dozens of fields in large relational databases. It is the process of analyzing data from different perspectives and summarizing it into useful information. A crucial skill for the data journalist of the future and / or marketeers who will work with big data.
Students will have a general introduction in data journalism first and will learn about the core principles of investigative journalism. They learn how to distract journalistic stories from datasets. We will dig deep into some Pulitzer prize winning stories from The New York Times to illustrate these principles.
Hereafter, students learn practical skills to make data accessible. They will be introduced in the world of scraping. This course will be an extreme journalistic data mining boot camp. During the course, students will work with real datasets and conduct real journalistic research. The work will be published.


Students need to do a small compulsory assignment for every tool and need to take a final exam.

Recommended for:
Anyone who is interested in investigative journalism, especially students from the Data Journalism master.
Compulsory for students who like to enroll into the data journalism traineeship offered in the course Data Journalism Practice.
Students with an interest in working with big data in marketing.

Verplichte literatuur

  1. Selected academic articles and online tutorials will be provided via Blackboard.

Gewenste voorkennis

Prior familiarity with journalism and/or data mining methods are welcome

Vereiste voorkennis

A basic knowledge of Excel (if you haven't any, please learn to make a Pivot Table in Excel upfront (basic tutorials can be found online)