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Course Description
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Course Name
Data Science Methods
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Host University
Vrije Universiteit Amsterdam
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Location
Amsterdam, The Netherlands
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Area of Study
Computer Science, Statistics
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Language Level
Taught In English
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Course Level Recommendations
Upper
ISA offers course level recommendations in an effort to facilitate the determination of course levels by credential evaluators.We advice each institution to have their own credentials evaluator make the final decision regrading course levels.
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ECTS Credits
6 -
Recommended U.S. Semester Credits3
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Recommended U.S. Quarter Units4
Hours & Credits
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Overview
COURSE OBJECTIVE
This course introduces a number of methods and techniques devoted to the analysis of large data sets.With a special focus is on methodology, this course give the technical tools for performing valid and competent data analysis in the subsequent applied data science courses.
COURSE CONTENT
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 analysisTEACHING METHODS
Lectures and tutorialsTYPE OF ASSESSMENT
Exam and group assignmentENTRY REQUIREMENTS
Basic knowledge of probability, statistics and programing.
Course Disclaimer
Courses and course hours of instruction are subject to change.
Some courses may require additional fees.