A data scientist has mathematical and statistical knowledge, often combined with a hacker approach to solving problems in innovative ways.
S/he is involved in the design of data modelling processes for which s/he creates algorithms, predictive models, automation systems and data frameworks.
A Data Scientist develops new tools and methods to extract the information an organization needs to solve complex problems and applies critical-thinking skills and business intuition to understand the implications of the data.
Her/his areas of expertise include data governance, automation, and prediction. A Data Scientist is often a Data Engineer, a System Architect or an AI expert. Typically, s/he can work as a Researcher, a Data Analyst and a Data Manager.
Is Open Source ideal for AI use in business? By the time you leave university, you will already be using many tools and platforms from the open-source environment. Open Source offers an infinite number of tools, essentially free of cost. Communities usually support these tools with many potentials, so your future development needs are fully… Read more
