803: How to Thrive in Your (Data Science) Career, with Daliana Liu
Super Data Science: ML & AI Podcast with Jon Krohn
Focus on Learning Relevant Tools in Spare Time
Product data scientists, analysts, or BI roles require less software engineering skills but prioritize SQL and data manipulation in pandas. Questions during interviews may center around experimentation, A.B. testing, and causal inference varying by company. Focus on tools that ease current workload rather than advanced AI or ML. Utilize spare time to learn by reading blogs and adapting to current workflow needs, ensuring it's never too late to upskill.
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