Data Science Methods
Vrije Universiteit Amsterdam
Amsterdam, The Netherlands
Area of Study
Computer Programming, Statistics
Taught In English
Course Level Recommendations
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.
Recommended U.S. Semester Credits3
Recommended U.S. Quarter Units4
Hours & Credits
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.
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
Lectures and tutorials
TYPE OF ASSESSMENT
Exam and group assignment
Basic knowledge of probability, statistics and programing.
Courses and course hours of instruction are subject to change.
Some courses may require additional fees.