Social Media Marketing and Data Science Basics

Course overview

Course Objective The course provides the fundamentals of social media marketing in conjunction with statistical analysis methods. The content focuses on developing concepts for creating and managing digital communication measures. Methods for data collection and their evaluation are integrated into the context of social media. The goal is to illustrate the relationship between the creation of online content and the analysis of interaction data. Content The course first presents the basic principles of social media marketing. In the first section, the development of content and the structuring of posts in social networks are addressed. This is followed by a section explaining methods for collecting and statistically evaluating usage and interaction data. Another section deals with the presentation of data in the form of reports and visualizations. Additionally, the legal framework and the use of digital tools in the analysis process are highlighted. Finally, the connection between digital communication strategies and data-driven methods for managing online activities is established. Learning Objectives - Recognizing important metrics in social networks - Analyzing datasets for evaluating digital interactions - Conducting statistical evaluations in a marketing context - Creating reports using data visualization techniques Career Prospects The course content is applicable in fields such as social media management, data analysis in digital marketing, content management, and roles in digital communication. The topics covered provide a foundation for activities in online marketing and media-based analyses. Summary The course Social Media Marketing and Data Science Basics conveys concepts for designing digital communication measures and for the statistical evaluation of interaction data. In this training, content is developed that can be applied in fields such as social media management, data analysis, and content management. The course offers a factual basis for linking online communication and data-driven processes.

Upcoming dates

• 2026-11-01T23:00:00.000Z · 2027-01-29T23:00:00.000Z · Leipzig · Combined Learning
• 2026-11-01T23:00:00.000Z · 2027-01-29T23:00:00.000Z · Mannheim · Combined Learning
• 2026-11-01T23:00:00.000Z · 2027-01-29T23:00:00.000Z · Stuttgart · Combined Learning
• 2026-11-01T23:00:00.000Z · 2027-01-29T23:00:00.000Z · Freiburg im Breisgau · Combined Learning
• 2026-11-01T23:00:00.000Z · 2027-01-29T23:00:00.000Z · München · Combined Learning