Who is defined as an individual without formal training in data science, using low-code or no-code tools?

The term "Citizen data scientist" describes an individual who may not have formal training in data science but utilizes low-code or no-code tools to analyze data, generate insights, and create data models. This role has gained prominence as organizations seek to democratize data analysis, enabling more people to interact with data without the necessity of extensive technical expertise.

Citizen data scientists often rely on accessible software platforms that simplify complex data tasks, allowing them to leverage their domain knowledge alongside data tools to contribute to data-driven decision-making. This approach increases the capacity for analytics within an organization by empowering users who can understand the business context but may lack the advanced statistical or programming skills associated with traditional data scientists.

In contrast, other roles such as data analysts and data engineers typically require more specialized skills and formal training in data manipulation, analysis, and engineering practices. Business analysts focus primarily on understanding business needs and facilitating communication between stakeholders, often without the extensive data manipulation capabilities that characterize citizen data scientists.