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Statistical Data Analysis - Period 4+5 Honors Program Program Spring 2020 Semester - Amsterdam

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Statistical Data Analysis - Period 4+5

Statistical Data Analysis - Period 4+5 Course Overview

OVERVIEW

CEA Partner Institution: Vrije Universiteit Amsterdam
Location: Amsterdam, Netherlands
Primary Subject Area: Mathematics
Instruction in: English
Course Code: X_401029
Course Details: Level 300
Recommended Semester Credits: 3
Contact Hours: 84

DESCRIPTION

This is an advanced level statistical data analysis course that builds on an introductory course on statistics, e.g. Statistics (Algemene Statistiek). The course introduces the students to several widely used statistical models and methods, and the students are taught how to apply these tools to real data with the use of the statistical software package R. The following subjects are covered:
- summarizing data;
- investigating the distribution of data;
- robust methods;
- nonparametric methods;
- bootstrap;
- two-sample problems;
- contingency tables;
- multiple linear regression.
The course is a combination of theory (in the lectures) and practice (in the computer classes) in such a way that the theory is explicitly linked to the practice of statistical 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.

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