Data Analyst / Data Scientist

Course overview

The training program for Data Analyst / Data Scientist imparts solid competencies in data preparation, analysis, and interpretation. Participants learn to transform large data sets into meaningful insights and support data-driven decisions in companies. Practical tools, statistical methods, and fundamentals of machine learning form the core of this qualification. !Fundamentals of Data Analysis and Data Science *Role of the Data Analyst and Data Scientist in the company *Types of data, data structures, and data sources *Basics of statistical analysis and visualization methods *Data ethics, data protection, and responsible handling of data !Data Preparation and Management *Data collection, data selection, and data quality assessment *Data cleaning, transformation, and feature engineering *Basics of databases and SQL *Working with large data sets (basic understanding of Big Data) !Analysis Methods and Tools *Descriptive and exploratory data analysis *Introduction to programming languages for Data Analysts and Data Scientists (e.g., Python, R) *Data visualization and dashboard creation *Application of statistical and analysis tools in practice !Machine Learning and Practical Transfer *Basic understanding of supervised and unsupervised learning *Applications of machine learning in the field of Data Science *Evaluation and interpretation of models *Best practices from business, marketing, production, and research Upon completion of the training, participants will be able to competently fulfill the role of a Data Analyst or Data Scientist. They can professionally prepare, analyze, and visualize data, classify machine learning approaches, and communicate results appropriately. Thus, they are empowered to develop data-driven strategies and support informed decisions in companies.

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