Super Data Science: ML & AI Podcast with Jon Krohn 828: Are “Citizen Data Scientists” A Myth? With Keith McCormick
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Oct 18, 2024 
In this engaging conversation, Keith McCormick, Data Science Principal at Further and an expert in online education, tackles the concept of 'citizen data scientists.' He explores the impact of low-code and no-code tools on data science, emphasizing how they can empower professionals and foster collaboration with experienced data scientists. Keith also discusses the role of AutoML, clarifying its limitations and how it can complement traditional data science, rather than replace it. Tune in for insights on enhancing data governance and boosting project success!
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Low-Code/No-Code History and Success
- Keith McCormick used low-code/no-code tools in the 90s, before Python or R's peak popularity, with tools like SPSS and SAS.
- He's worked on successful, eight-figure projects using these tools, like an insurance fraud project and a case involving copy toner theft.
Collaboration with Subject Matter Experts
- Subject matter experts can use low-code/no-code tools to spot trends and collaborate with data scientists.
- However, full production and data governance usually require a dedicated data science team.
KNIME for ETL in Finance
- A large bank trains thousands of finance employees to use KNIME for ETL, moving away from Excel.
- This aims to improve data governance and create a more transparent, collaborative process.