Data Analysis 1

2019-2020

Course Objective

The main task of a data scientist is to extract relevant information
from data. Statistical knowledge together with a data manipulation and
statistical software play a key role in data analysis. This course
provides an introduction to the software R and to some data
visualization and data modeling techniques.
In this course, participants will:
(1) Become familiar with some basic concepts of data visualization and
modeling.
(2) Learn the data analysis software R.

Course Content

The course will present basic concepts of data analysis such as
summarizing and visualizing data. The course will also discuss some data
modeling methods. These concepts and methods will be applied using the
software R. In particular, the course will cover how to handle real
datasets, visualize data and implement some basic modeling techniques
with R.

Teaching Methods

Lectures and tutorials

Method of Assessment

Assignment and written exam.

General Information

Course Code E_EOR1_DA1
Credits 6 EC
Period P3
Course Level 100
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, Computer lab
Target audiences

This course is also available as: