
893: How to Jumpstart Your Data Career (by Applying Like a Scientist), with Avery Smith
Super Data Science: ML & AI Podcast with Jon Krohn
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Navigating a Data Career Path
This chapter explores the essential timeline and strategies for preparing for a career in data science. Emphasizing a data-driven approach to job applications, the discussion includes innovative methods for networking and portfolio development while critiquing common application platforms. It also highlights the importance of originality in project selection and the effectiveness of dedicated portfolios over using GitHub for showcasing skills.
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