Tina Huang

Tina Huang

Tina is a former data scientist at Meta. Her channel focuses on AI, coding, tech, career development, and self-study. Always striving to minimize effort while maximizing outcomes. In fact, she firmly avoids doing extra work to reach her goals — one of the many reasons she loves AI. Follow this podcast to get Tina Huang’s insights in audio format, perfect for learning on the go. Tina Huang on YouTube: https://www.youtube.com/@TinaHuang1 Disclaimer: This podcast is an independent audio adaptation of content originally created by Tina Huang. It was made by a viewer who values her insights and aims to make them more accessible for audio-first learners. This is not an official production of Tina Huang, and it is not affiliated with or endorsed by her. All rights to the original video content remain with Tina Huang. If you represent Tina and would like to discuss this project, please don’t hesitate to get in touch.

  1. 3 HR AGO

    🐙 1M Celebration x Hackathon | Tina Huang

    🐙 1M Celebration x Hackathon Tina is a former data scientist at Meta. Her channel focuses on AI, coding, tech, career development, and self-study. Always striving to minimize effort while maximizing outcomes. In fact, she firmly avoids doing extra work to reach her goals — one of the many reasons she loves AI. Follow this podcast to get Tina Huang’s insights in audio format, perfect for learning on the go. Tina Huang on YouTube: https://www.youtube.com/@TinaHuang1 Disclaimer: This podcast is an independent audio adaptation of content originally created by Tina Huang. It was made by a viewer who values her insights and aims to make them more accessible for audio-first learners. This is not an official production of Tina Huang, and it is not affiliated with or endorsed by her. All rights to the original video content remain with Tina Huang. If you represent Tina and would like to discuss this project, please don’t hesitate to get in touch. --- Learn more about your ad choices. Visit megaphone.fm/adchoices

    1h 11m

  2. 9 HR AGO

    Building unhinged AI projects? | Tina Huang

    Building unhinged AI projects? Tina is a former data scientist at Meta. Her channel focuses on AI, coding, tech, career development, and self-study. Always striving to minimize effort while maximizing outcomes. In fact, she firmly avoids doing extra work to reach her goals — one of the many reasons she loves AI. Follow this podcast to get Tina Huang’s insights in audio format, perfect for learning on the go. Tina Huang on YouTube: https://www.youtube.com/@TinaHuang1 Disclaimer: This podcast is an independent audio adaptation of content originally created by Tina Huang. It was made by a viewer who values her insights and aims to make them more accessible for audio-first learners. This is not an official production of Tina Huang, and it is not affiliated with or endorsed by her. All rights to the original video content remain with Tina Huang. If you represent Tina and would like to discuss this project, please don’t hesitate to get in touch. --- Learn more about your ad choices. Visit megaphone.fm/adchoices

    3 min

  3. 14 MIN AGO

    3 AI Tools For Learning 💡 | Tina Huang

    3 AI Tools For Learning 💡 Tina is a former data scientist at Meta. Her channel focuses on AI, coding, tech, career development, and self-study. Always striving to minimize effort while maximizing outcomes. In fact, she firmly avoids doing extra work to reach her goals — one of the many reasons she loves AI. Follow this podcast to get Tina Huang’s insights in audio format, perfect for learning on the go. Tina Huang on YouTube: https://www.youtube.com/@TinaHuang1 Disclaimer: This podcast is an independent audio adaptation of content originally created by Tina Huang. It was made by a viewer who values her insights and aims to make them more accessible for audio-first learners. This is not an official production of Tina Huang, and it is not affiliated with or endorsed by her. All rights to the original video content remain with Tina Huang. If you represent Tina and would like to discuss this project, please don’t hesitate to get in touch. --- Learn more about your ad choices. Visit megaphone.fm/adchoices

    3 min

  4. 25 OCT

    Learn To Learn In 25 Minutes | Tina Huang

    Learn To Learn In 25 Minutes Build a website in minutes with with Hostinger: https://www.hostinger.com/tinahuang (get 10% off with code TINAHUANG)In this video I distill down Learning How To Learn, which is a 15 hour learning course, into 25 minutes. It was a packed course and very very good. It's also free!! If you want to check it out yourself: https://imp.i384100.net/oegQn9✉️ NEWSLETTER: https://tinahuang.substack.com/ It's about learning, coding, and generally how to get your sh*t together c: 🤖 AI Lunch & Learn series: https://www.lonelyoctopus.com/email-signupIt's a FREE weekly 1hr livestream about AI & tech topics eg. How to build a GPT, how to build AI products, jobs in the era of AI etc. 🐙 Lonely Octopus: https://www.lonelyoctopus.com/Check it out if you're interested in learning AI & data skill, then applying them to real freelance projects! 🤝 Business Inquiries: https://tally.so/r/mRDV99🖱️Links mentioned in video========================🔗Affiliates========================My SQL for data science interviews course (10 full interviews):https://365datascience.com/learn-sql-for-data-science-interviews/ 365 Data Science: https://365datascience.pxf.io/WD0za3 (link for 57% discount for their complete data science training)Check out StrataScratch for data science interview prep: https://stratascratch.com/?via=tina🎥 My filming setup ========================📷 camera: https://amzn.to/3LHbi7N🎤 mic: https://amzn.to/3LqoFJb🔭 tripod: https://amzn.to/3DkjGHe💡 lights: https://amzn.to/3LmOhqk⏰Timestamps========================00:00 intro 📲Socials ========================instagram: https://www.instagram.com/hellotinah/linkedin: https://www.linkedin.com/in/tinaw-h/ discord: https://discord.gg/5mMAtprshX🎥Other videos you might be interested in========================How I consistently study with a full time job:https://www.youtube.com/watch?v=INymz5VwLmkHow I would learn to code (if I could start over): https://www.youtube.com/watch?v=MHPGeQD8TvI&t=84s🐈‍⬛🐈‍⬛About me ========================Hi, my name is Tina and I'm an ex-Meta data scientist turned internet person! 📧Contact========================youtube: youtube comments are by far the best way to get a response from me! linkedin: https://www.linkedin.com/in/tinaw-h/ email for business inquiries only: hellotinah@gmail.com ========================Some links are affiliate links and I may receive a small portion of sales price at no cost to you. I really appreciate your support in helping improve this channel! :) Follow this podcast to get Tina Huang’s insights in audio format, perfect for learning on the go. Tina Huang on YouTube: https://www.youtube.com/@TinaHuang1Disclaimer: This podcast is an independent audio adaptation of content originally created by Tina Huang. It was made by a viewer who values her insights and aims to make them more accessible for audio-first learners. This is not an official production of Tina Huang, and it is not affiliated with or endorsed by her. All rights to the original video content remain with Tina Huang. If you represent Tina and would like to discuss this project, please don’t hesitate to get in touch. - Learn more about your ad choices. Visit megaphone.fm/adchoices

    30 min

  5. 25 OCT

    How to learn SQL for data science interview (the minimize effort maximize outcome way) | Tina Huang

    How to learn SQL for data science interview (the minimize effort maximize outcome way) This is a step by step guide for how I learned SQL for my FANG data science interview. I had never touched SQL before and only had 2 weeks to prepare for my interview. So I made a scientifically-backed study plan to learn SQL most efficiently with the least amount of time and effort. By the end of the 11 days, I felt super confident and prepared. I went on to pass my FANG data science interviews and got the job! My motto: Minimize effort and maximize outcome!!Btw apologies about audio quality from about 2 - 3.5 min mark. Something weird happened to my mic :( ______________________________________________________________________Timestamps: 00:00 Overview 01:01 Study Plan 06:00 SQL Interview Demo 08:47 End of Demo09:36 Final Thoughts ______________________________________________________________________Contact:email: hellotinah@gmail.comlinkedin: https://www.linkedin.com/in/tinaw-h/______________________________________________________________________Music Credit: Potato Deal - Craig MacArthur Smile - Slynk ______________________________________________________________________relevant topics: mysql, postgresql, postgresql tutorial ,postgresql tutorial for beginners Follow this podcast to get Tina Huang’s insights in audio format, perfect for learning on the go. Tina Huang on YouTube: https://www.youtube.com/@TinaHuang1Disclaimer: This podcast is an independent audio adaptation of content originally created by Tina Huang. It was made by a viewer who values her insights and aims to make them more accessible for audio-first learners. This is not an official production of Tina Huang, and it is not affiliated with or endorsed by her. All rights to the original video content remain with Tina Huang. If you represent Tina and would like to discuss this project, please don’t hesitate to get in touch. ----------------------- Learn more about your ad choices. Visit megaphone.fm/adchoices

    14 min

  6. 25 OCT

    🐙 Lunch & Learn: AI Fundamentals for 2025 | Tina Huang

    🐙 Lunch & Learn: AI Fundamentals for 2025 Want to get ahead in your career using AI? Join my FREE workshop: https://www.lonelyoctopus.com/workshop🤝 Business Inquiries: https://tally.so/r/mRDV99🖱️Links mentioned in video========================🔗Affiliates========================My SQL for data science interviews course (10 full interviews):https://365datascience.com/learn-sql-for-data-science-interviews/ 365 Data Science: https://365datascience.pxf.io/WD0za3 (link for 57% discount for their complete data science training)Check out StrataScratch for data science interview prep: https://stratascratch.com/?via=tina🎥 My filming setup ========================📷 camera: https://amzn.to/3LHbi7N🎤 mic: https://amzn.to/3LqoFJb🔭 tripod: https://amzn.to/3DkjGHe💡 lights: https://amzn.to/3LmOhqk⏰Timestamps========================00:00 intro 📲Socials ========================instagram: https://www.instagram.com/hellotinah/linkedin: https://www.linkedin.com/in/tinaw-h/ discord: https://discord.gg/5mMAtprshX🎥Other videos you might be interested in========================How I consistently study with a full time job:https://www.youtube.com/watch?v=INymz5VwLmkHow I would learn to code (if I could start over): https://www.youtube.com/watch?v=MHPGeQD8TvI&t=84s🐈‍⬛🐈‍⬛About me ========================Hi, my name is Tina and I'm an ex-Meta data scientist turned internet person! 📧Contact========================youtube: youtube comments are by far the best way to get a response from me! linkedin: https://www.linkedin.com/in/tinaw-h/ email for business inquiries only: hellotinah@gmail.com ========================Some links are affiliate links and I may receive a small portion of sales price at no cost to you. I really appreciate your support in helping improve this channel! :) Follow this podcast to get Tina Huang’s insights in audio format, perfect for learning on the go. Tina Huang on YouTube: https://www.youtube.com/@TinaHuang1Disclaimer: This podcast is an independent audio adaptation of content originally created by Tina Huang. It was made by a viewer who values her insights and aims to make them more accessible for audio-first learners. This is not an official production of Tina Huang, and it is not affiliated with or endorsed by her. All rights to the original video content remain with Tina Huang. If you represent Tina and would like to discuss this project, please don’t hesitate to get in touch. --------------------- Learn more about your ad choices. Visit megaphone.fm/adchoices

    1h 33m

  7. 25 OCT

    Good coding habits to start developing NOW | Tina Huang

    Good coding habits to start developing NOW Win your Ultimate Work From Home Setup by entering Fasthosts' Techie Test here: https://www.fasthosts.co.uk/tinahuangIn this video I talk about the some coding habits that will help you be more productive, efficient, and avoid burnout. Enjoy: Good coding habits to start developing now! Timestamps 00:00 intro01:11 plan your projects03:38 running documentation05:24 learn how to learn08:31 schedule deep work 09:54 schedule breaks 11:38 hype routine 12:38 lose the ego ______________________________________________________________________SQL for tech and data science interviews course with 10 mock interviews: https://bit.ly/2TSqGsG **365 Data Science: https://bit.ly/3d7rOPE (link for 57% discount for their complete data science training)**Check out StrataScratch for SQL interview prep: https://stratascratch.com/?via=tinaReal SQL interview question walkthrough series: https://www.youtube.com/watch?v=Td-cmLfQ7uU&list=PLVD3APpfd1tuXrXBWAntLx4tNaONro5dA_____________________________________________________________________instagram: https://www.instagram.com/hellotinah/linkedin: https://www.linkedin.com/in/tinaw-h/ discord: https://discord.gg/5mMAtprshXstudy with Tina channel:https://www.youtube.com/channel/UCI8JpGrDmtggrryhml8kFGwlivestreaming google calendar:https://bit.ly/3wvPzHB_____________________________________________________________________Other videos you might be interested inHow I would learn to code (if I could start over):https://www.youtube.com/watch?v=MHPGeQD8TvI&t=84sHow I take notes - Tips for efficient note taking that speeds up learning: https://www.youtube.com/watch?v=q6_9mdCkQhE&t=1s______________________________________________________________________Subscribe: https://www.youtube.com/channel/UC2UXDak6o7rBm23k3Vv5dww/?sub_confirmation=1______________________________________________________________________About me Hi, my name is Tina and I'm a data scientist at a FAANG company. I was pre-med studying pharmacology at the University of Toronto until I finally accepted that I would make a terrible doctor. I didn't know what to do with myself so I worked for a year as a research assistant for a bioinformatics lab where I learned how to code and became interested in data science. I then did a masters in computer science (MCIT) at the University of Pennsylvania before ending up at my current job in tech :) ______________________________________________________________________Contactyoutube: youtube comments are by far the best way to get a response from me! linkedin: https://www.linkedin.com/in/tinaw-h/ email for business inquiries only: hellotinah@gmail.com If you're reaching out through linkedin, please leave a youtube comment just letting me know that you reached out :) ______________________________________________________________________Links marked with * are tracking links that track traffic that comes from my channel. Links marked with ** are affiliate links where I receive a small portion of the sales price at no cost to you. I really appreciate your support in helping improve this channel! :)#codinghabits #programming #tinahuang Follow this podcast to get Tina Huang’s insights in audio format, perfect for learning on the go. Tina Huang on YouTube: https://www.youtube.com/@TinaHuang1Disclaimer: This podcast is an independent audio adaptation of content originally created by Tina Huang. It was made by a viewer who values her insights and aims to make them more accessible for audio-first learners. This is not an official production of Tina Huang, and it is not affiliated with or endorsed by her. All rights to the original video content remain with Tina Huang. If you represent Tina and would like to discuss this project, please don’t hesitate to get in touch. - Learn more about your ad choices. Visit megaphone.fm/adchoices

    17 min

  8. 25 OCT

    Science Based Learning Strategies In 16 Minutes | Tina Huang

    Science Based Learning Strategies In 16 Minutes Head to http://brilliant.org/TinaHuang/ to get started for free with Brilliant's interactive lessons with 20% off an annual membership.In this video I cover science based learning strategies to learn things faster and better. Want to get ahead in your career using AI? Join my FREE workshop: https://www.lonelyoctopus.com/workshop🤝 Business Inquiries: https://tally.so/r/mRDV99🖱️Links mentioned in video========================🔗Affiliates========================My SQL for data science interviews course (10 full interviews):https://365datascience.com/learn-sql-for-data-science-interviews/ 365 Data Science: https://365datascience.pxf.io/WD0za3 (link for 57% discount for their complete data science training)Check out StrataScratch for data science interview prep: https://stratascratch.com/?via=tina🎥 My filming setup ========================📷 camera: https://amzn.to/3LHbi7N🎤 mic: https://amzn.to/3LqoFJb🔭 tripod: https://amzn.to/3DkjGHe💡 lights: https://amzn.to/3LmOhqk⏰Timestamps========================00:00 intro 📲Socials ========================instagram: https://www.instagram.com/hellotinah/linkedin: https://www.linkedin.com/in/tinaw-h/ discord: https://discord.gg/5mMAtprshX🎥Other videos you might be interested in========================How I consistently study with a full time job:https://www.youtube.com/watch?v=INymz5VwLmkHow I would learn to code (if I could start over): https://www.youtube.com/watch?v=MHPGeQD8TvI&t=84s🐈‍⬛🐈‍⬛About me ========================Hi, my name is Tina and I'm an ex-Meta data scientist turned internet person! 📧Contact========================youtube: youtube comments are by far the best way to get a response from me! linkedin: https://www.linkedin.com/in/tinaw-h/ email for business inquiries only: hellotinah@gmail.com ========================Some links are affiliate links and I may receive a small portion of sales price at no cost to you. I really appreciate your support in helping improve this channel! :) Follow this podcast to get Tina Huang’s insights in audio format, perfect for learning on the go. Tina Huang on YouTube: https://www.youtube.com/@TinaHuang1Disclaimer: This podcast is an independent audio adaptation of content originally created by Tina Huang. It was made by a viewer who values her insights and aims to make them more accessible for audio-first learners. This is not an official production of Tina Huang, and it is not affiliated with or endorsed by her. All rights to the original video content remain with Tina Huang. If you represent Tina and would like to discuss this project, please don’t hesitate to get in touch. ---------- Learn more about your ad choices. Visit megaphone.fm/adchoices

    21 min
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About

Tina is a former data scientist at Meta. Her channel focuses on AI, coding, tech, career development, and self-study. Always striving to minimize effort while maximizing outcomes. In fact, she firmly avoids doing extra work to reach her goals — one of the many reasons she loves AI. Follow this podcast to get Tina Huang’s insights in audio format, perfect for learning on the go. Tina Huang on YouTube: https://www.youtube.com/@TinaHuang1 Disclaimer: This podcast is an independent audio adaptation of content originally created by Tina Huang. It was made by a viewer who values her insights and aims to make them more accessible for audio-first learners. This is not an official production of Tina Huang, and it is not affiliated with or endorsed by her. All rights to the original video content remain with Tina Huang. If you represent Tina and would like to discuss this project, please don’t hesitate to get in touch.

Information

  • Creator
    Tina Huang
  • Years Active
    2K
  • Episodes
    221
  • Rating
    Explicit
  • Copyright
    © Tina Huang

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