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Tina Huang

Author: Tina Huang

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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.

233 Episodes
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🐙 Lunch & Learn: AI Skills for your Resume---------------------------------------------------- 🐙 Lonely Octopus: https://www.lonelyoctopus.com/ Check it out if you're interested in learning AI & data skill, then applying them to real company projects!🤖 Sign up here to get accompanying workbooks, summaries, and notifs for future lunch & learns: https://www.lonelyoctopus.com/email-signup✉️ NEWSLETTER: https://tinahuang.substack.com/ It's about learning, coding, and generally how to get your sh*t together c:🔗Affiliates ======================== My SQL for data science interviews course (10 full interviews): https://365datascience.com/learn-sql-for-data-science-interviews/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📲Socials ======================== instagram: https://www.instagram.com/hellotinah/ linkedin: https://www.linkedin.com/in/tinaw-h/ discord: https://discord.gg/5mMAtprshX🤯Study with Tina ======================== Study with Tina channel: https://www.youtube.com/channel/UCI8JpGrDmtggrryhml8kFGwHow to make a studying scoreboard: https://www.youtube.com/watch?v=KAVw910mIrIScoreboard website: scoreboardswithtina.comlivestreaming google calendar: https://bit.ly/3wvPzHB🎥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
Ranking The Best AI ChatbotsTina 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/@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
It’s Time To Take Your Dreams Seriously - The Alchemist by Paulo CoelhoAutomate blog posts with 1 click at https://seowriting.ai/?utm_source=youtube&utm_medium=tina_huang with promo code TINA25 for a 25% discount!I recently re-read one of my favourite books: The Alchemist. It's a book that truly changed my life and made me realize that I need to take my dreams seriously before it's too late.✉️ 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-signup It'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/mRDV9900:00 Intro 02:00 Santiago's dreams 05:40 Ad 07:28 Synchronicities 11:37 To those who feel lost 13:13 Your dreams will die🖱️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
Google's 9 Hour AI Prompt Engineering Course In 20 MinutesTry out a free trial with StraighterLine to save thousands on tuition: https://www.straighterline.com/bkIf you want to check out the full AI Prompting Essentials course 👉 https://imp.i384100.net/WyyJ1AI took Google’s AI Prompting Essentials course and here’s the cliff notes version if you also want to improve your AI prompt engineering skills! ✉️ 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-signup It'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
Will AI do this in 2026?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/@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
Science Based Learning Strategies In 16 MinutesHead 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
Data Science Resume Round-Up With @KenJee_ds - Episode 2In this video Ken Jee and I go through another 5 subscriber submitted resumes and review them. In this data science resume review episode, we give some of our best tips and suggestions to improve them. Here's to landing a data science job :D __________________________________________________________________ Ken's Channel For Next Week's Episode: https://www.youtube.com/channel/UC2UX... ______________________________________________________________________ Check out StrataScratch for SQL interview prep: https://stratascratch.com/?via=tina ______________________________________________________________________ Check out these videos:Resume Review Episode 1: https://www.youtube.com/watch?v=Ft4GVkQQtgk Ken's interview with me: https://www.youtube.com/watch?v=vfV4nm004VQ My first resume review: https://www.youtube.com/watch?v=mueI-I7Suxw ______________________________________________________________________ Subscribe: https://www.youtube.com/channel/UC2UXDak6o7rBm23k3Vv5dww/?sub_confirmation=1 ______________________________________________________________________ Contact:linkedin: https://www.linkedin.com/in/tinaw-h/ (preferred) email: hellotinah@gmail.com*I can get back to you the fastest if you leave a youtube comment just letting me know that you reached out :) ______________________________________________________________________ Music Credit:TheFatRat & Anjulie - Close To The Sun*The StrataScratch affiliate program give me a small portion of the sales price at no cost to you. I'm currently not monetized and really appreciate your support in helping improve this channel! :)#DataScience #TinaHuang #ResumeReviewFollow 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
How I Learn Things Really FastTina 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/@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.--- --------------------------------------How I Learn Things Really FastTina 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/@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
Learn To Learn In 25 MinutesBuild 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-signup It'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
5 Unique AI Projects (beginner to intermediate) | Python, LangChain, RAG, OpenAI, ChatGPT, ChatBotCheck out this free resource to help you use AI to be more productive: https://clickhubspot.com/7knIn this video I walk through 5 unique AI projects from beginner to intermediate to advanced. We'll be using python as the coding language and use technologies such as LangChain, RAG, GPT4o, DALL-E, Whisper, Claude, and other open source models.Resources & Code: https://bit.ly/3WLXMXv✉️ 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-signup It'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
Biology to Data Science (data professor's tips on how to get a data science research position)How did data professor transition from biology into data science? How do you get a research position with a professor? Will machine learning become automated? Where is data science headed in the future?I had the incredible opportunity to interview Chanin aka. Data Professor! He is a bioinformatics research professor that transitioned from biology to data science through his PhD. He's extremely knowledgeable and I think you guys will derive so much value from this video! :DP.S. Data professor actually is a real professor! P.P.S check out our collab video we did on data professor's channel: https://www.youtube.com/watch?v=OBsxUjQ7Ua0 _____________________________________________________________________ Timestamps: 00:00 Intro 01:14 Data professor's background 04:43 Birth of data professor! 11:04 Data science opportunity in biology 18:03 Machine learning is getting automated 18:35 How to future proof yourself 19:16 Data scientist's essential toolkit 22:43 How to get a research position with a professor 30:29 Super Secret Lightning round ______________________________________________________________________ Check out data professor's channel and links we mention in the video: Data professor's channel: https://www.youtube.com/channel/UCV8e2g4IWQqK71bbzGDEI4Q How to make a bioinformatics web app: https://www.youtube.com/watch?v=iZUH1qlgnys Strategies of learning data science: https://www.youtube.com/watch?v=7XdoaQYwTeA Data professor's article about data science process: https://towardsdatascience.com/the-data-science-process-a19eb7ebc41b Ken Jee's video different data roles: https://www.youtube.com/watch?v=BZFfNwj7JhE Best data science project: https://www.youtube.com/watch?v=2goqyY5XBeI&t=3s ______________________________________________________________________ Other channels to check out: Ken Jee: https://www.youtube.com/c/KenJee1/videos Codebasics: https://www.youtube.com/c/codebasics/videos Krish Naik: https://www.youtube.com/channel/UCNU_lfiiWBdtULKOw6X0Dig Andrew from Data Leap: https://www.youtube.com/c/DataLeapTech/videos ______________________________________________________________________ My backstory: I was pre-med with a specialist (equivalent of major) in pharmacology at the University of Toronto. I worked in bioinformatics for a year before doing my masters in computer science at the University of Pennsylvania (UPenn MCIT). I interned at Goldman Sachs and am now a full time data scientist at a FAANG company. ______________________________________________________________________ Contact: linkedin: https://www.linkedin.com/in/tinaw-h/ (preferred) email: hellotinah@gmail.com *I'm the fastest to respond on youtube, followed by linkedin (especially if you mention in a youtube comment that you messaged me)! Don't be a stranger ^^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
Ranking Vibe Coding Tools From Beginner to AdvancedTina 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/@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
The Ultimate Guide to Land a Data Science Internship | schedule and time management survival guideIn this video, I walk through the entire process of landing a data science internship + 2 backup plans! I feel like there are lots of videos that talk about the recruiting process but don’t go into detail about how to best apply and interview. Most importantly, what to do if things don’t work out. I also include tips for time management, how to prioritize, and how to keep sane. Happy recruiting season! 😱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.---------- ---------------------------------------The Ultimate Guide to Land a Data Science Internship | schedule and time management survival guideIn this video, I walk through the entire process of landing a data science internship + 2 backup plans! I feel like there are lots of videos that talk about the recruiting process but don’t go into detail about how to best apply and interview. Most importantly, what to do if things don’t work out. I also include tips for time management, how to prioritize, and how to keep sane. Happy recruiting season! 😱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
The Most Important Skills To Learn In 2026 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
How I motivate myself to study with a full time job (1 year in and haven’t given up yet 🤯)I go through my FULL system to get myself to be motivated and not give up and keep on self studying despite having a full time job. I am quite proud of it because it somehow actually worked despite me being the laziest person I've ever met.🔗Affiliates ======================== 365 Data Science: https://bit.ly/3tIUBCY (link for 57% discount for their complete data science training)Check out StrataScratch for data science interview prep: https://stratascratch.com/?via=tinaGoogle Data Analytics Certificate on Coursera: https://bit.ly/33tYQYA🎥 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 I accept my weakass willpower and design around it 01:16 overview of system 02:17 How it all started 03:11 this year's goals 03:42 system - study with me livestreams 05:15 system - scoreboard 06:16 system - pack of cards📲Socials ======================== instagram: https://www.instagram.com/hellotinah/linkedin: https://www.linkedin.com/in/tinaw-h/discord: https://discord.gg/5mMAtprshX🤯Study with Tina ======================== Study with Tina channel: https://www.youtube.com/channel/UCI8JpGrDmtggrryhml8kFGwHow to make a studying scoreboard: https://www.youtube.com/watch?v=KAVw910mIrIScoreboard website: scoreboardswithtina.comlivestreaming google calendar: https://bit.ly/3wvPzHB🎥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 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 :)📧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! :)#tinahuang #studywithme #selfstudy #selfstudymotivationFollow 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
3 AI Tools for 2026Tina 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/@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
A productive day as a data scientist | day in the life of a data scientist vlog #2This was a nice day :) ______________________________________________________________________ You might also be interested in these videosA less productive day in the life of a data scientist: https://www.youtube.com/watch?v=lCi6fWuI8r4 How to choose between software engineering and data science: https://www.youtube.com/watch?v=JUkSeqe1eYQ______________________________________________________________________ Subscribe: https://www.youtube.com/channel/UC2UXDak6o7rBm23k3Vv5dww/?sub_confirmation=1 ______________________________________________________________________ Real SQL interview question walkthrough series: https://www.youtube.com/watch?v=Td-cmLfQ7uU&list=PLVD3APpfd1tuXrXBWAntLx4tNaONro5dACheck out StrataScratch for SQL interview prep: https://stratascratch.com/?via=tina ______________________________________________________________________ Contactyoutube: youtube comments are by far the best way to get a response from me! linkedin: https://www.linkedin.com/in/tinaw-h/ (second preferred but I might suck at responding) email: hellotinah@gmail.com*If you're reaching out through linkedin or email, please leave a youtube comment just letting me know that you reached out :) ______________________________________________________________________ *The StrataScratch affiliate program give me a small portion of the sales price at no cost to you. I'm currently not monetized and really appreciate your support in helping improve this channel! :)#DataScience #DataScientist #TinaHuang data scientist day in the life, day in my lifeFollow 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
A day in the life of a data scientist (FAANG data scientist remote)This is a day in the life of a data scientist! I'm a FAANG data scientist currently working remotely due to the pandemic. This is a realistic day in my life. Hope you guys enjoy it! ______________________________________________________________________ How I learned SQL from Scratch in 11 Days to Pass my FAANG Data Science SQL Interview: https://www.youtube.com/watch?v=vaD3ZFFNwhM SQL Interview Question Walkthrough Series: https://www.youtube.com/playlist?list=PLVD3APpfd1tuXrXBWAntLx4tNaONro5dA ______________________________________________________________________ My backstory: I was pre-med with a specialist (equivalent of major) in pharmacology at the University of Toronto. I worked in bioinformatics for a year before doing my masters in computer science at the University of Pennsylvania (UPenn MCIT). I interned at goldman sachs and am now a full time data scientist at a FAANG company. ______________________________________________________________________ Contact: linkedin: https://www.linkedin.com/in/tinaw-h/ (preferred) email: hellotinah@gmail.com *I'm the fastest to respond on youtube, followed by linkedin! Don't be a stranger ^^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
Good coding habits to start developing NOWWin 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 intro 01:11 plan your projects 03:38 running documentation 05:24 learn how to learn 08:31 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 meHi, 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.comIf 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 #tinahuangFollow 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
5 Rapid Questions With Tina HuangTina 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/@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
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