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Experiential Learning Opportunities
Data Science Methods- Period 5
Honors Program Program
Amsterdam, Netherlands
Dates: 1/30/25 - 5/31/25
Data Science Methods- Period 5
OVERVIEW
CEA CAPA Partner Institution: Vrije Universiteit Amsterdam
Location: Amsterdam, Netherlands
Primary Subject Area: Business
Instruction in: English
Course Code: E_EOR2_DSM
Transcript Source: Partner Institution
Course Details: Level 200
Recommended Semester Credits: 3
Contact Hours: 84
Prerequisites: Basic knowledge of probability, statistics and programing.
DESCRIPTION
This course covers:
(1) statistical methods for analyzing data;
(2) machine learning techniques;
(3) efficient numerical implementation of statistical and machine learning methods;
(4) validity and methodological aspect of data analysis
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.
(1) statistical methods for analyzing data;
(2) machine learning techniques;
(3) efficient numerical implementation of statistical and machine learning methods;
(4) validity and methodological aspect of data analysis
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.