Department of Business Administration

Business Analytics

Department of Business Administration

Course outline

(1)    General Information:

School

Economics & Social Sciences

Department

Business Administration

Level of Studies

Undergraduate

Course code

509

Semester

5ο

Course title

Business Analytics

INDEPENDENT TEACHING ACTIVITIES

Weekly teaching hours
-

ECTS

 

4

5

 

  

Type of course

 

Prerequisite course

 

Language of instruction and exams

 

The course is offered to Erasmus students

 

Course URL

 

(2)    Learning outcomes:

Learning outcomes

 

 

 

 

 

 

 

General Skills

 

 

 

 

 

 

 

 

 

 

 

(3)    COURSE CONTENT

The course attempts to lay the foundations for Data Analysis in business. It introduces students to the basic concepts of data analysis, business intelligence, and machine learning, while encouraging a critical understanding of the hypotheses underpinning these methodologies and the ethical and legal implications of data analysis.

Introduction to Data Analysis, Data Analysis Models and BI / DA Tools, Ethical and Legal Dimensions of Data Analysis, Problematic Data, Introduction to Business Intelligence, Statistical Tools, Data Visualization, Introduction to Machine Learning, Regression Use, Discrimination and Trade-Discrimination / Overfitting, data analysis in Excel (Descriptive Statistics Toolbox, Vlookups / Match & Index, Pivot Tables, Regression Analysis, Using Excel Macros, VBA Scripting

 

 

(4)    TEACHING AND LEARNING METHODS - EVALUATION

TEACHING METHOD

 

USE OF INFORMATION AND COMMUNICATION TECHNOLOGIES

Use of ICT in Teaching, in Laboratory Education, in Communication with students

TEACHING ORGANIZATION

Activity

Semester Workload

Lectures

13

Practical Exercise

26

Publications study

40

Assignments

40

Exams’ Preparation

40

Final Examination

2

  

Course Total Effort

161

STUDENT EVALUATION

 

 

(5)    BIBLIOGRAPHY

 

 

 

 

 

 

 

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