Data Science Methods

2018-2019

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 analysis

Teaching Methods

Lectures and tutorials

Method of Assessment

Exam and group assignment

Entry Requirements

Basic knowledge of probability, statistics and programing.

General Information

Course Code E_EOR2_DSM
Credits 6 EC
Period P5
Course Level 200
Language of Tuition English
Faculty School of Business and Economics
Course Coordinator dr. P. Gorgi
Examiner dr. P. Gorgi
Teaching Staff dr. P. Gorgi

Practical Information

You need to register for this course yourself

Last-minute registration is available for this course.

Teaching Methods Lecture, Study Group
Target audiences

This course is also available as: