Data Science and Big Data

Course overview

The training program "Data Science and Big Data" provides comprehensive knowledge for processing, analyzing, and utilizing large data sets. The content combines statistical methods, data management, and analytical thinking. Data Understanding and Sources Classifying different types of data Identifying and evaluating data sources Analyzing data structures Assessing data quality Data Preparation Cleaning and transforming data Handling missing or erroneous values Merging data Documenting preprocessing steps Analytical Methods Conducting descriptive and exploratory analyses Recognizing patterns and relationships Applying basic statistical methods Critically interpreting results Handling Large Data Sets Classifying the processing of large data sets Differentiating tools and architectures Designing efficient analysis processes Providing scalable results The training enables structured analysis of extensive data sets and the derivation of well-founded insights.

Upcoming dates

• 2026-09-27T22:00:00.000Z · 2027-01-16T23:00:00.000Z · München · Hybrid Learning
• 2026-09-27T22:00:00.000Z · 2027-05-08T22:00:00.000Z · München · Hybrid Learning
• 2026-09-27T22:00:00.000Z · 2027-01-16T23:00:00.000Z · Wuppertal · Hybrid Learning
• 2026-09-27T22:00:00.000Z · 2027-05-08T22:00:00.000Z · Wuppertal · Hybrid Learning
• 2026-09-27T22:00:00.000Z · 2027-01-16T23:00:00.000Z · Wiesbaden · Hybrid Learning

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