(1614) ROAD MAP IN DEVELOPING DATA SCIENCE COMPETENCES

摘要

The advent of modern technologies has led to the expansion of the use of databases and data services. This phenomenon has led to the rise of Data Science, and data scientists have become professionals with a particular importance in terms of extracting new knowledge from data. Achieving a comprehensive competence for learning through “big data” is a task of re-engineering the existing way of learning. It is appropriate to understand what knowledge and skill base data scientists must have in order to meet the current technology capabilities and the expectations of business organizations. Тhe research addresses the following questions: 1 What skills base should a data scientist have? 2 What is the good practice in data science training? 3 What are the potential students of data science training course and what will be their input knowledge and skills base? The aim of this study is to present the road map of the progress for a student in developing the identified competences through Data Science Curriculum. In the context of the data science area, the curriculum as an endpoint in the map refers to the building of certain skills that allow extracting knowledge from the available data and is aimed at training students of the University of Library Science and Information Technology in Bulgaria