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Super Data Science: ML & AI Podcast with Jon Krohn
563: How to Rock at Data Science — with Tina Huang
Apr 5, 2022
Superstar data science YouTuber Tina Huang talks about key areas in data science, her five steps for consistency, day-to-day life at a tech company, computer science background, software languages used, SQL course benefits, traditional banking vs big tech, pharmacology impact on data science, and preparing for data science interviews
01:04:33
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Quick takeaways
- Focus on coding, math, and commercial acumen to start in data science.
- Tina outlines five steps for consistency: setting goals, having support, and maintaining commitment.
Deep dives
Key Areas for Getting Started in Data Science
Focusing on coding, math, and commercial acumen are key areas to start in data science. Tina highlights the importance of these aspects to build a strong foundation in the field.
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