Use methods applied by data journalists to collect and evaluate information using computational techniques.

Produce basic journalistic articles based on data.

Collect information from the internet and combine it with other sources.

Ensure that a story is fact-based and be able to cross-check sources and data from the internet and social media.

Become familiar with modern scientific concepts and terminology, as well as with methodologies and techniques from Data Science and Statistics.

Understand the core concepts and principles of data journalism.

Recognize the role and significance of big data in journalistic investigation.

Become familiar with Python and basic programming principles.

Learn to use pandas DataFrames for data management and analysis.

Understand the basics of web scraping and API usage for data retrieval.

Develop skills in cleaning and preparing unstructured numeric and textual data.

The course is assessed in the English language.

The assessment includes weekly lab assignments (30%), a written project (60%), and a public presentation of the written project (10%).

The assessment methods, procedures, and criteria are communicated to students during the first lecture. Relevant announcements and materials are posted on the e-class online platform.