Fundamentals of Survey and Data Science

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Fundamentals of Survey and Data Science - Course Details

Delve into the course contents and find out about the faculty members.

Single Course Price:

1,200.00 EUR (tax exempt)

 

Instructor:

Alexander Wenz, PhD (University of Mannheim)

Video lecture by

Florian Keusch, PhD (University of Mannheim)
Jennifer Sinibaldi, PhD (National Science Foundation)

 

Course Dates

To see all courses in the upcoming term click here.

 

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.
 

 

 

Course Description

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.

Prerequisites
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.

Course Objectives
By the end of the course, students will…

  • be able to apply the key terminology used by survey methodologists and data scientists.
  • be able to assess the quality of data from different sources based on a data quality framework.
  • be able to select an appropriate data source to answer different types of research questions.
  • understand the influence of coverage, sampling, and nonresponse on data quality and know how to deal with deficiencies of the data.
  • have a clear understanding of the steps involved in data preparation, data processing, data analysis, and data visualization.
  • be able to comply with ethical standards in survey research and data science.

Course Composition
This is a 6 ECTS course that runs for 12 weeks. The content of the course is broken down into twelve units:

  1. Introduction – How to do survey research and data science
  2. Quality of Data
  3. Coverage
  4. Modes of Survey Data Collection
  5. Data Generation from Other Sources
  6. Sampling I
  7. Sampling II
  8. Questionnaires and Interviewing
  9. Nonresponse
  10. Data Preparation, Data Processing, and Data Base Management
  11. Data Analysis and Data Visualization
  12. Survey and Research Ethics

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
Grading will be based on:

  • Participation in discussion during the weekly online meetings and contributions to the forum demonstrating understanding of the required readings and video lectures (10% of the final grade).
  • Ten online quizzes reviewing specific aspects of the material covered (60% of the final grade).
  • A final, open-book, online exam (30% of the final grade).

ZFU Certification and Online Dispute Resolution

ZFU Certification

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

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/

 

MANNHEIM BUSINESS SCHOOL (MBS)

Located in the heart of the German and European economy, Mannheim Business School (MBS), the umbrella organization for management education at the University of Mannheim, is considered to be one of the leading institutions of its kind in Germany and is continuously ranked as Germany’s #1.

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