CEU DNDS offers a teaching scheme of data science-oriented quantitative methods courses to respond to the data science revolution. Specifically, this certificate is an introductory track providing a solid starting point in data-oriented skills, with a special focus on applications to practical social problems.
Students enrolled in the Data Analysis certificate program will be able to use introductory empirical methods and theoretical approaches to address data-driven phenomena in the social and economic sciences. Either in an academic career or in a career in government or business, we see a definitive advantage for students with training in data analysis.
The main aims of this certificate program are:
- to provide students with cutting-edge knowledge and skills that are highly demanded in any field of the current job market; and
- to increase learning and teaching efficiency by clarifying the structure of prerequisites in data science-oriented methods courses.
|Python Programming, Visualization and Data Analysis||2||Mandatory|
|Empirical Research Methods Workshop||1||Mandatory|
|Introduction to Computational Social Science||2||Mandatory-elective|
|Introduction to Machine Learning and Data Mining||2||Mandatory-elective|
|Coding for Economists||2||Mandatory|
|Data and Network Visualization||2||Mandatory-elective|
|Agent Based Models||2||Mandatory-elective|
|Ethics of Big Data||2||Mandatory-elective|
TOTAL CREDITS: 9 (3+2 mandatory; 2+2 Mandatory-elective)