Frequently Asked Questions
Data Culture is a general term for a set of skills and ways of working with data. The key goal of the project is to expand students' digital skills, develop their programming and data analysis skills.
The world is changing. If you think that only programmers need to know programming, you are wrong. Programming is becoming a new alphabet, and the importance of knowing Python is compared to the importance of knowing English.
Even such fields as philology, psychology and cultural studies are increasingly relying on mathematical methods. For example, you may need to find all mentions of a particular politician in all news articles for 2018. You can either do it manually within six months or write a Python script in 15 minutes that will process all the texts and provide the exact answer in seconds. Which option would you prefer?
The assessment is carried out for undergraduate students who entered HSE in 2021 and later. Students may be assessed in different blocks at different times. For e.g. you may finish Digital Literacy already in the first year, and the courses of Data Analysis can be included into your educational program up to the fourth year. You can read more in Measuring Digital Competencies section.
If you are a representative of another university and would like to implement the Data Culture project in your educational programmes, then you can contact Timofey Nikulin.
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