Social Networks and Data Science Basics

Course overview

Course Objective The course Social Networks and Data Science Basics provides an introduction to the analysis of social networks, incorporating data science fundamentals. The focus is on the collection, processing, and evaluation of data resulting from digital communication processes. Theoretical concepts are linked with the practical application of simple analytical methods. This continuing education course offers insights into the structures of social platforms and highlights methodological approaches to data integration. Content The course begins with an introduction to the functioning of social networks and the identification of data sources that can be used for the analysis of digital communication. The next section presents data collection methods as well as the processing and storage of data, while introducing the basics of statistical methods. Another thematic block is dedicated to the interpretation and visualization of datasets to recognize patterns and relationships within the networks. Finally, the combination of social network analysis with data science methods is explained to provide an overview of the possibilities for quantitative evaluation and processing. Learning Objectives - Analyze the structures of social networks based on collected datasets - Apply statistical methods in the evaluation of digital communication data - Identify relevant data sources from online platforms - Create visual representations using simple data analysis tools - Evaluate methods for data processing and integration Career Prospects The course content is applicable in fields such as social media management and data analysis. Typical areas of employment include positions in online marketing departments, where the development and evaluation of digital communication processes are central. Additionally, the connection to network analysis is also relevant for tasks in customer support and community management. Summary The course Social Networks and Data Science Basics covers the fundamentals of digital data collection and the analysis of social communication processes. This continuing education program presents theoretical approaches and practical methods that are applicable in fields such as social media management and data analysis. The content allows for a factual engagement with the procedures for the systematic collection and processing of digital information.

Upcoming dates

• 2026-11-01T23:00:00.000Z · 2027-02-28T23:00:00.000Z · Leipzig · Combined Learning
• 2026-11-01T23:00:00.000Z · 2027-02-28T23:00:00.000Z · Mannheim · Combined Learning
• 2026-11-01T23:00:00.000Z · 2027-02-28T23:00:00.000Z · Stuttgart · Combined Learning
• 2026-11-01T23:00:00.000Z · 2027-02-28T23:00:00.000Z · Freiburg im Breisgau · Combined Learning
• 2026-11-01T23:00:00.000Z · 2027-02-28T23:00:00.000Z · München · Combined Learning