Image for
Naslovnica

Data Analysis in Social Science

  • Predavanje 30
  • Vježbe 30
  • Samostalni rad 90
Ukupno 150

Naziv predmeta

Data Analysis in Social Science

Oznaka predmeta

21-02-586

Semestar

2

ECTS

5

Sadržaj i cilj

This master'ls level statistics and data analysis course introduces methods for harnessing data to answer questions of cultural, social, economic, and policy interest. It begins with essential notions of probability and statistics and proceeds to cover techniques in modern data analysis: estimation, regression and econometrics, prediction, experimental design, randomized control trials (and A/B testing), machine learning, and data visualization. We will illustrate these concepts with applications drawn from real world examples and frontier research.

Minimalni ishodi učenja

  • Demonstrate understanding of reasoning logic in probability and statistical models
  • From selected use case, formulate summary and describe data sample
  • Demonstrate understanding of selected methods of evaluating social programs
  • From selected use case, demonstrate presenatation of results in a compelling and thruthful way
  • From selected tool/program language, demonstrate data analysis concepts and techniques

Željeni ishodi učenja

  • -
  • -
  • -
  • -
  • -
Preuzmi vodič za studente
Podijeli: Facebook Twitter