SDS 563: How to Rock at Data Science — with @TinaHuang1

Super Data Science: ML & AI Podcast with Jon Krohn April 5, 2022
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Super Data Science: ML & AI Podcast with Jon Krohn

@superdatasciencewithjonkrohn

About

The latest machine learning, A.I., and data career topics from across both academia and industry are brought to you by host Dr. Jon Krohn on Super Data Science, the most listened-to podcast in the industry. In lighthearted conversation with renowned guests, Jon cuts through hype to fuel your professional impact. Whether you're curious about getting started in a data career or you're a deep technical expert, whether you'd like to understand what A.I. is or you'd like to integrate more data-driven processes into your business, we have inspiring guests and lighthearted conversation for you to enjoy. We cover tools, techniques, and implementation tricks across data collection, databases, analytics, predictive modeling, visualization, software engineering, real-world applications, commercialization, and entrepreneurship − everything you need to crush it with data science.

Video Description

#DataScienceCareer #DataScientistCareerAdvice #RockAtDataScience In this episode, superstar data science YouTuber Tina Huang joins us to discuss what it's like to work at one of the world's largest tech companies, her strategies for efficient learning, and how best to prepare for a career in data science from scratch. This episode is brought to you by Neptune Labs, the metadata store for MLOps, and by Einblick.ai, the collaborative way to explore data. In this episode you will learn: • The key areas to focus on when getting started in data science [4:15] • Tina’s five steps to consistently doing anything [10:07] • Tina's day-to-day life as a data scientist at one of the world’s largest tech companies [18:22] • How Tina's computer science background helps her work [24:28] • Traditional banking culture vs big tech [30:30] • How Tina's background in pharmacology impacts her work in data science [34:25] • The software languages that Tina uses daily in her work [43:45] • How Tina’s SQL course practically prepares you for data science interviews [45:32] Additional materials: https://www.superdatascience.com/563

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