Big Data: Visualization and Fundamentals of Data Science

Course overview

The training provides fundamental competencies in handling large data sets as well as in methodological data analysis and visualization. The focus is on processing extensive data collections, basic statistical methods of data science, and the clear representation of complex relationships. The goal is to make big data structures analytically usable and to prepare results in a comprehensible manner. Module 1: Fundamentals of Big Data Module 2: Overview of Data Science Methods Module 3: Data Preparation and Exploratory Analysis Module 4: Visualization of Large Data Sets Module 1: Fundamentals of Big Data !Structures and Challenges *Characteristics and Dimensions of Large Data Sets *Structured, Semi-Structured, and Unstructured Data *Scalable Data Processing *Data Quality and Governance Module 2: Overview of Data Science Methods !Analytical Basic Procedures *Descriptive and Inferential Statistical Approaches *Basics of Regression and Classification Models *Clustering Methods *Evaluation of Analysis Results Module 3: Data Preparation and Exploratory Analysis !Systematic Investigation of Large Data Sets *Data Cleaning and Transformation *Detection of Patterns and Trends *Identification of Outliers *Documentation of Analytical Steps Module 4: Visualization of Large Data Sets !Structured Representation of Complex Relationships *Selection of Appropriate Visualization Forms *Design Principles for Clear Dashboards *Interactive Analysis Functions *Avoidance of Typical Representation Errors Graduates are able to structure large data sets, apply basic data science methods, and visualize results clearly. They are capable of analytically assessing complex relationships and methodically supporting data-driven decision-making processes.

Upcoming dates

• 2026-08-09T22:00:00.000Z · 2026-10-17T22:00:00.000Z · München · Hybrid Learning
• 2026-08-09T22:00:00.000Z · 2026-10-17T22:00:00.000Z · Aachen · Hybrid Learning
• 2026-08-09T22:00:00.000Z · 2026-10-17T22:00:00.000Z · Berlin · Hybrid Learning
• 2026-08-09T22:00:00.000Z · 2026-10-17T22:00:00.000Z · Berlin · Hybrid Learning
• 2026-08-09T22:00:00.000Z · 2026-10-17T22:00:00.000Z · Berlin · Hybrid Learning