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Course module: 300512-B-6
300512-B-6
Skills: Communicating with Data
Course info
Course module300512-B-6
Credits (ECTS)6
CategoryBA (Bachelor)
Course typeCourse
Language of instructionEnglish
Offered byTilburg University; Tilburg School of Economics and Management; TISEM Other;
Is part of
B Economics and Business Economics
Contact persondr. L.B.D. Raes
Lecturer(s)
Lecturer
prof. dr. D. Brounen
Other course modules lecturer
Lecturer
dr. L.B.D. Raes
Other course modules lecturer
Starting block
SM 2
Course mode
Full-time
RemarksThis information is not up to date. Check the Course Catalog 2019 or select the course via “Register”.
Registration openfrom 10/01/2019 up to and including 31/07/2019
Aims
In this course, students learn to combine modern analytical skills and the possibilities of data in order to create a compelling story. We teach students how to look critically at common beliefs and stories about economics and business. Students need to be able to detect what could be true and what not. After this course they can quickly dissect data stories. They are also able to tell a story themselves using data. This means that they can collect the (raw) data and transform this into a message which is visually appealing and convincing. 

Required Prerequisites

Introduction to data-analysis (or equivalent)
 
Recommended Prerequisites
 
Some experience with R or Python
Content
This course provides a broad introduction to data communication. The teaching activities comprise two blocks which run in parallel. At the one hand there is a technical component. How can you find data? How to get it into R? How do we make data tidy? etc.
At the other hand, there is a more soft component. How do we tell a story? How to engage an audience? How do we not that a story is correct?



Type of Instruction

Lectures, tutorials, practica

Type of exams

Permanent evaluation + final assignment(s)
 
Recommended Reading
  1. Kieran Healy, Data Visualization: A practical introduction. socviz.co
Timetable information
300512-B-6|Skills: Communicating with Data
Required materials
-
Recommended materials
Manual
In dit vak maken we gebruik van wetenschappelijke artikelen en slides die door de docenten beschikbaar worden gemaakt. Voor de computersessies maken we veelvuldig gebruik van het handboek van Kieran Healy: socviz.co
Tests
Final grade

Paper

Presentation

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