ANALYSIS OF ONLINE COURSES TO ACQUIRE DATA SCIENCE LITERACY

Data science skills relate to the competencies needed by everyone who wants to be successfully listed on the labour market. Successful data analysis increases the competitiveness of both the organization and every individual. More and more organizations allocate resources and have units built, even entire departments for processing and analyzing Big Data and forecasting. Evidence is the increasing offering of Data Science courses in the web.

This paper aims to analyze available online courses offered by different learning organizations. Platforms for massive open online courses (MOOC) have been studied, some of which are: Coursera, EdX, Cloudera, intellipaat, openHPI. An analysis of the learning methodology has been made. The differences, strengths and weaknesses of the offered courses are shown.

This paper also discusses the possibility of adapting data science courses to a specific group of learners who are not IT professionals to build their data science literacy.