Data Scientist Specialized in Data Quality and Data Preprocessing

The "Data Scientist Specialized in Data Quality and Data Preprocessing" certificate provides you with practical knowledge of the most important procedures for assessing and improving data quality for projects focusing on data analysis as well as the essential principles of modern data preprocessing for both tabular and image data.

A "Data Scientist Specialized in Data Quality and Data Preprocessing" is able to carry out data preprocessing in a structured and efficient manner in everyday life and to use data for data science projects.

Target group

• Domain experts (production, finance, pharmaceuticals, etc.) who want to evaluate and preprocess data for AI applications.
• Analysts who want to expand their data pre-processing skills.
• Software developers/architects who develop solutions for analytical problems.
• Interested parties from research looking for an orientation in the field of data science

• Types and properties of tabular and image data
• Quality characteristics and requirements of machine learning for tabular data
• Integration, synchronization and cleansing of tabular data
• Transformation and reduction of tabular data
• Augmentation and balancing of tabular data sets
• Evaluation of data quality and pre-processing methods for tabular data
• Types and properties of image data
• Data quality characteristics and requirements of deep learning for image data
• Analogies and differences between tabular data and image data
• Integration, annotation and cleaning of image data
• Image transformations for data reduction, augmentation and image optimization
• Balancing image data sets
• Evaluation of data quality and pre-processing methods for image data