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Compulsory Module 3: Data Engineering und Analytics (7.5 ECTS-credits, 4 hours)
Prerequisites for registration: none
Learning Outcome: Basic understanding of data engineering and data analysis; knowledge and application of the
dataset creation process, including collection, generation, cleansing, visualisation and
validation; knowledge and application of the basics of feature extraction and the derivation of meaningful features; knowledge and application of selected methods of data analysis and machine learning; evaluation and assessment of data engineering and analytics processes.
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OLAT ML
703504
VO Foundations of Data Engineering and Analytics (VO / 2h / 4,5 ECTS-AP)
Eva Zangerle
Details of this course
OLAT ML
703505
PS Foundations of Data Engineering and Analytics (PS / 2h / 3 ECTS-AP)
Amir Reza Mohammadi, Eva Zangerle
Details of this course

Notes:
  • There may still be changes in the courses offered as well as room allocation and course dates.
  • The course descriptions found in the English version of the course catalogue are for informational purposes only. Authoritative information can be found in the "Vorlesungsverzeichnis" (German version of the course catalogue).