Summary:
- The article discusses the concept of the "citizen data scientist" - individuals who perform data analysis and modeling without formal training in data science.
- It highlights the challenges and limitations of the citizen data scientist approach, including the risk of producing inaccurate or biased results due to lack of proper training and understanding of data science principles.
- The article emphasizes the importance of formal data science education and expertise, and suggests that the citizen data scientist trend may be a "mirage" that should not replace the need for professional data scientists.