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‘To fulfill the role of a Citizen Data Scientist, business users today can leverage augmented analytics solutions; that is analytics that provide simple recommendations and suggestions to help users easily choose visualization and predictive analytics techniques from within the analytical tool without the need for expert analytical skills.’
Her talk addressed career paths for people in data science going into specialized roles, such as data visualization engineers, algorithm engineers, and so on. Jupyter Community Workshop , Jun 22-23, Córdoba. In an organization the size of Netflix, teams need to be differentiated. CogX , Jun 10-12, London. spaCy IRL , Jul 5-6, Berlin.
Gartner defines a citizen data scientist as, ‘ a person who creates or generates models that leverage predictive or prescriptiveanalytics, but whose primary job function is outside of the field of statistics and analytics.’ So, let’s get started. What is a Cititzen Data Scientist? Who is a Citizen Data Scientist?
As such any Data and Analytics strategy needs to incorporate data sovereignty as per of its D&A governance program. Coding skills – SQL, Python or application familiarity – ETL & visualization? Yes, prescriptive and predictive analytics remain very popular with clients. Thanks for the overview Andrew.
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