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CEA CAPA Partner Institution: Vrije Universiteit Amsterdam
Location: Amsterdam, Netherlands
Primary Subject Area: Computer Sciences
Instruction in: English
Course Code: XB_0014
Transcript Source: Partner Institution
Course Details: Level 300
Recommended Semester Credits: 3
Contact Hours: 84
Prerequisites: Programming experience in Python.
DESCRIPTION
Data wrangling is the process of gathering data in its raw form and molding it into a form that is suitable for its end use. This course is about how to gather the data that is available and produce an output that is ready to be used. There are a number of common steps in the data wrangling process that will be discussed: acquiring, cleaning, shaping and structuring the data, as well as feature engineering and visualization.
Vrije Universiteit Amsterdam (VU Amsterdam) awards credits based on the ECTS system. Contact hours listed under a course description may vary due to the combination of lecture-based and independent work required for each course therefore, CEA's recommended credits are based on the ECTS credits assigned by VU Amsterdam. 1 ECTS equals 28 contact hours assigned by VU Amsterdam.
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