The Typical Data Scientist Profile in 2019

February 9, 2019

This infographic was produced by 365DataScience. Last year they completed a research on 1,001 data scientists to get a profile of the ‘typical’ data scientist in 2018. They replicated the study with new data. Below are the findings. Here are some of our key findings: R (45%) and Python (54%) are the programming languages that dominate the data science field with 73% of the cohort knowing at least one of the two. Other popular languages are SQL (36%), MATLAB (19%), and Java (18%). 59% of the data scientists come from one of three educational backgrounds: Computer science (22%), Economics and Social Sciences (21%), and Statistics and Mathematics (16%). There are fewer people who studied Data science and analysis (12%), Natural Sciences (11%), and Engineering (9%).

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Interana is the fast and scalable event-based analytics solution to answer critical business questions about how customers behave and products are used. Interana allows users to analyze and explore the key business metrics that matter most in a data-driven world – such as growth, retention, conversion and engagement – in seconds, rather than the hours or days it often takes with existing solutions. Interana allows customers to discover and investigate these key insights easily through its visual and interactive interface, which makes data analysis a natural extension of everyone’s workflow.

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