Data Science with Large Datasets

Course overview

The training program "Data Science with Large Datasets" combines Data Science, modeling and forecasting, and Big Data. The focus is on data foundation and preparation as well as the practical application of the associated terminology and work steps. Data Science • Process of a Data Science project from the question to the evaluation using practical examples • Data preparation, modeling, and evaluation of models with accompanying exercises • Use of Python and statistical methods including documentation of results • Presentation of results for departments in successive work steps Modeling and Forecasting • Overview of statistical models and machine learning methods with reference to typical application cases • Creation of training and test data as well as analysis of common sources of error • Evaluation and comparison of models • Interpretation of forecasts for decision-making Big Data • Characteristics of Big Data and areas of application • Processing and storage of large datasets • Tools and methods for Big Data analysis • Data protection and quality assurance for large datasets Data Foundation and Preparation • Data sources, data formats, and data provision • Cleaning and checking data quality • Structuring and transforming data for evaluation • Documentation of data provenance and work steps The training program connects Data Science and modeling and forecasting, providing knowledge in Big Data as well as data foundation and preparation. The professional relationships are addressed in the context of Data Science with large datasets.

Upcoming dates

• 2026-11-08T23:00:00.000Z · 2027-03-07T23:00:00.000Z · Aachen · Blended Learning
• 2026-11-08T23:00:00.000Z · 2027-03-07T23:00:00.000Z · Berlin · Blended Learning
• 2026-11-08T23:00:00.000Z · 2027-03-07T23:00:00.000Z · Hannover · Blended Learning
• 2026-11-08T23:00:00.000Z · 2027-03-07T23:00:00.000Z · Duisburg · Blended Learning
• 2026-11-08T23:00:00.000Z · 2027-03-07T23:00:00.000Z · München · Blended Learning

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