Delve into the course contents and find out about the faculty members.
1,200.00 EUR (tax exempt)
Alexander Wenz, PhD (University of Mannheim)
Florian Keusch, PhD (University of Mannheim)
Jennifer Sinibaldi, PhD (National Science Foundation)
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This course is part of the Mannheim Data Science Certificate: Introduction to Survey and Data Science.
Book this course or the entire certificate here!
In order to book the course with alumni conditions, please get in touch with Manon Pfeifer directly.
Short Course Description
This course introduces the student to a set of principles of survey and data science that are the basis of standard practices in these fields. The course exposes students to key terminology and concepts of collecting and analyzing data from surveys and other data sources to gain insights and to test hypotheses about the nature of human and social behavior and interaction. It will also present a framework that will allow the student to evaluate the influence of different error sources on the quality of data.
Students are expected to be familiar with basic statistical concepts, such as mean, standard deviation, variance, and distributions (at the level of an undergraduate course) and have exposure to elements of social science perspectives on human behavior.
By the end of the course, students will…
This is a 6 ECTS course that runs for 12 weeks. The content of the course is broken down into twelve units:
Learning and Teaching Methods
In this course, you are responsible for watching video-recorded lectures and reading the required literature for each unit prior to participating in mandatory weekly one-hour online meetings where students have the chance to discuss the materials from a unit with the instructor. In addition, students are required to post questions or comments about the materials covered in the videos or readings of the week in the forum before the meetings. Just like in an on-site course, assignments will be assigned and graded, and there will be a final exam at the end of the course.
Grading will be based on:
The Mannheim Master of Applied Data Science & Measurement program is certified according to the regulations of the ZFU (Staatliche Zentralstelle für Fernunterricht).
Online dispute resolution according to Art. 14 Sect. 1 ODR-VO: The European Commission provides a platform for online dispute resolution (ODR). You can find more information under http://ec.europa.eu/consumers/odr/