Data analysis Course code: OI0031 | 6 ECTS credits

Basic information

Level of Studies: Undergraduate applied studies

Year of Study: 3

Semester: 6

Requirements:

Goal:

Outcome:

Contents of the course

Theoretical instruction:

Practical instruction (Problem solving sessions/Lab work/Practical training):

Textbooks and References

Sinan Ozdemir,Principles of Data Science, Packt Publishing Ltd, Birminghem, 2016.
Joel Grus, Data Science from Scratch: First Principles with Python, 2nd Edition, O’Relly, 2019.
Wes McKinney, Python for Data Analysis, O'Reilly Media", 2012.
Mladen Varga, Upravljanje podacima, Element, 2012.
Upom Malik , Matt Goldwasser, Benjamin Johnston, SQL za analizu podataka, Kompjuter biblioteka, 2019.
Milan Galagoza, Marketing i menadžment istraživanja, MM Colege, 2005.
Dimić, G., Pecić, Lj., Analiza podataka – priručnik za laboratorijske vežbe.

Number of active classes (weekly)

Lectures: 3

Practical classes: 0

Other types of classes: 2

Grading (maximum number of points: 100)

Pre-exam obligations

Points

activities during lectures

activities on practial excersises

seminary work

colloquium

Final exam