Data Manipulation Challenges
Nick discusses the persistent challenges in data manipulation within companies, highlighting a reluctance to embrace diverse tools beyond SQL. He notes that while some organizations are open to various methods, many still adhere strictly to SQL due to ingrained practices. Jon adds that the reliance on quantifiable tests in hiring processes aims to minimize biases, emphasizing the importance of maintaining objectivity in evaluations to protect against socio-demographic biases.In this clip
From this podcast
Super Data Science: ML & AI Podcast with Jon Krohn
SDS 615: How to Ace Your Data Science Interview — with Nick Singh
Related Questions
What are the difficulties in hiring as discussed in the episode Why Some Engineers Rise to Leadership - And Others Don’t | Marcel de Vries | Beyond Coding #189 and the clip Hiring for Quality?
Can you get a job in data science in the modern workforce based on the insights from the episode MLOps: A leader's perspective // Stephen Galsworthy // MLOps Coffee Sessions #39 and the clip Tech Transformation?