

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/@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.
Episodes
Mentioned books

Jul 26, 2025 • 18min
What's the best certificate for data analysts? Google vs IBM Data Analyst Certificate | Tina Huang
What's the best certificate for data analysts? Google vs IBM Data Analyst Certificate
In this video I do an in depth comparison between the Google vs IBM data analyst certificate. I do an overview of both certificates and then go through the similarities, differences, my recommendation, and finally how to choose what's best for you. Luke's video: https://www.youtube.com/watch?v=fmLPS6FBbac📜Google Data Analytics Certificate: https://coursera.pxf.io/5bD1vL📜IBM Data Analytics Certificate: https://coursera.pxf.io/15MZvd🔗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/3LmOhqkTimestamps========================00:00 Intro00:53 Google data analytics certificate overview02:21 IBM data analyst certificate overview03:02 Similarities03:50 Differences - Career development 03:40 Differences - Tech stack 06:38 Differences - Teaching style08:27 Differences - Language08:42 Differences - Projects esp. Capstone project10:19 My recommendation & why12:42 Why choose google 13:03 Why choose IBM 📲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! :)#datascience #dataanalyst #certificate #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.
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Keywords: ai development, open source ai, gemini ai, coding tutorials, tech insights, tech productivity, ai safety, chatbots Learn more about your ad choices. Visit megaphone.fm/adchoices

Jul 25, 2025 • 3min
Watch This If You Need AI Use Cases Inspo | Tina Huang
Watch This If You Need AI Use Cases InspoTina 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.-------
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Keywords: coding tips, coding tutorials, gpt models, tech career, tina huang, data science, ai safety, open source ai Learn more about your ad choices. Visit megaphone.fm/adchoices

Jul 23, 2025 • 10min
How I chose my masters degree (as an international student) | Tina Huang
How I chose my masters degree (as an international student)
I'm a FAANG data scientist but my masters was in computer science? This was actually very intentional! In this video, I outline how I chose my computer science masters degree. I was an international student looking to study in the United States who did not have a technical degree in computer science, engineering, or anything even remotely related. I was gonna be a doctor lol. ______________________________________________________________________Ken's video on how he chose his masters degree: https://www.youtube.com/watch?v=domVw8isGOI&t=303sOur collab video on 7 Things to Look For in a Masters For Data Science:https://www.youtube.com/watch?v=ji7DtgUeKCI______________________________________________________________________You might also be interested in these videos:Upenn MCIT experience: https://www.youtube.com/watch?v=KsQU_3n0IYEThe Resume that got me my FAANG job (entry level data scientist):https://www.youtube.com/watch?v=vx-x-yXXE9I Day in the life of a FAANG Data Scientist: https://www.youtube.com/watch?v=lCi6fWuI8r4 ______________________________________________________________________Subscribe: https://www.youtube.com/channel/UC2UXDak6o7rBm23k3Vv5dww/?sub_confirmation=1______________________________________________________________________Check out StrataScratch for SQL interview prep: https://stratascratch.com/?via=tinaAlso my SQL data science interview question walkthroughs in real interview style: hhttps://www.youtube.com/watch?v=Td-cmLfQ7uU&list=PLVD3APpfd1tuXrXBWAntLx4tNaONro5dA&index=1______________________________________________________________________Contact:youtube: youtube comments are by far the best way to get a response from me! I answer every single comment! linkedin: https://www.linkedin.com/in/tinaw-h/ (second preferred)email: hellotinah@gmail.com *If you're reaching out through linkedin or email, I can get back to you the fastest if you leave a youtube comment just letting me know that you reached out :) ______________________________________________________________________*The StrataScratch affiliate program gives 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 #ComputerScience #ComputerScienceMasters
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.
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Keywords: ai development, tech interview, artificial intelligence, open source ai, data science, tech career, ai podcast, tech insights Learn more about your ad choices. Visit megaphone.fm/adchoices

Jul 23, 2025 • 18min
Why you keep quitting online courses (and then buy more) | Tina Huang
Why you keep quitting online courses (and then buy more)
Head to http://brilliant.org/TinaHuang/ to get started for free with Brilliant's interactive lessons. The first 200 people will also get 20% off an annual membership.✉️ NEWSLETTER: https://tinahuang.substack.com/ It's about learning, coding, and generally how to get your sh*t together c: In this video, I talk about why you keep quitting your online courses and then go and buy more. Then the cycle repeats itself... 🖱️ Some Additional Resources========================https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4046684/https://www.researchgate.net/publication/330316898_The_MOOC_pivot https://files.eric.ed.gov/fulltext/EJ1062943.pdfI didn't address explicitly that having degrees/certificates that actually mean something (like for Coursera and Udacity) also helps a lot with engagement, although of course that also makes them more expensive: https://docs.wixstatic.com/ugd/cc7beb_5803e625ebee463ebc6f4796027366f1.pdf🔗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📲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! :)
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.
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Keywords: tech productivity, tech interview, tech tutorials, ai trends, coding tips, machine learning, ai fundamentals Learn more about your ad choices. Visit megaphone.fm/adchoices

Jul 22, 2025 • 8min
The software engineering resume that got me into FAANG and Goldman Sachs (internship) | Tina Huang
The software engineering resume that got me into FAANG and Goldman Sachs (internship)
his is my software engineering resume that got me internship offers from goldman sachs and amazon. Looking back now, this resume really isn't the best but despite how hard I roast it, it still is the resume that got me my internship offers :) Enjoy!Videos mentioned: The resume that got me into FAANG as a data scientist: https://www.youtube.com/watch?v=vx-x-yXXE9IHow I got software engineering and data science internships: https://www.youtube.com/watch?v=Rx1i1J4m4MQ ______________________________________________________________________You might also be interested in these videos:Day in the life of a FAANG Data Scientist: https://www.youtube.com/watch?v=lCi6fWuI8r4How I learned SQL from Scratch in 11 Days to Pass my FANG SQL Interview: https://www.youtube.com/watch?v=vaD3ZFFNwhM______________________________________________________________________Subscribe: https://www.youtube.com/channel/UC2UXDak6o7rBm23k3Vv5dww/?sub_confirmation=1______________________________________________________________________Check out StrataScratch for SQL interview prep: https://stratascratch.com/?via=tina______________________________________________________________________Contact:youtube: youtube comments are by far the best way to get a response from me! I answer every single comment! linkedin: https://www.linkedin.com/in/tinaw-h/ (second preferred)email: hellotinah@gmail.com *If you're reaching out through linkedin or email, I can get back to you the fastest if you 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! :)#SoftwareEngineeringResume #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.
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Keywords: ai safety, coding tutorials, ai tools, programming Learn more about your ad choices. Visit megaphone.fm/adchoices

Jul 22, 2025 • 15min
How I trick myself to be self-disciplined | Tina Huang
How I trick myself to be self-disciplined
Start building your ideal daily routine! The first 100 people who click on the link will get 25% OFF on Fabulous Premium: http://thefab.co/tinahuang2✉️ NEWSLETTER: https://tinahuang.substack.com/ It's about learning, coding, and generally how to get your sh*t together c: In this video, I talk about all the ways I trick myself to be self-disciplined to study and just get things done in general. 🖱️Links mentioned in video========================lockbox: https://amzn.to/3G4oMsz🔗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📲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! :)
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.
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Keywords: tech productivity, ai trends, coding tutorials, ai learning, ai tools, ai agents, llm comparison, ai development Learn more about your ad choices. Visit megaphone.fm/adchoices

Jul 21, 2025 • 2h 18min
🐙 Lunch & Learn: Data Engineering + Lonely Octopus Q&A - Apps are now open! | Tina Huang
🐙 Lunch & Learn: Data Engineering + Lonely Octopus Q&A - Apps are now open!
A 1 hour lunch & learn Q&A w/ best selling DE author of Fundamentals of Data Engineering & renowned speaker! Lonely Octopus Q&A - applications close Oct. 7th 2023 at 11:59 pm PSTJoe's LinkedIn: https://www.linkedin.com/in/josephreis/🤖 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: 🐙 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! 🔗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.
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Keywords: gpt models, programming, tech insights Learn more about your ad choices. Visit megaphone.fm/adchoices

Jul 21, 2025 • 17min
SQL Data Science Interview Questions and Answers (interview style walk-through) | Question 3 | Tina Huang
SQL Data Science Interview Questions and Answers (interview style walk-through) | Question 3
Hi friends! Welcome back to SQL Sundays! A weekly SQL data science interview questions and answers walkthrough.This is another data science SQL interview question and answer done from beginning to end in a real interview style.🔗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📲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========================SQL Sundays Playlist: https://www.youtube.com/playlist?list=PLVD3APpfd1tuXrXBWAntLx4tNaONro5dAHow I learned SQL from Scratch in 11 Days to Pass my FANNG SQL Interview: https://www.youtube.com/watch?v=vaD3ZFFNwhMHow 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 the 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.
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Keywords: gemini ai, open source ai, self study, ai tools Learn more about your ad choices. Visit megaphone.fm/adchoices

Jul 21, 2025 • 27min
9 ways to make money coding (and the combo strategy I recommend) | Tina Huang
9 ways to make money coding (and the combo strategy I recommend)
Get your work done faster, in the appropriate tone, and confidently with Grammarly! Go to https://grammarly.com/tinahuang to sign up for a FREE account and get 20% off Premium. In this video, I talk about the 9 different ways you can make money coding and what my strategy would be if I could start over. I didn't mention discord bots or blockchain stuff! Another video? You should check those out too - it's what the cool kids are building these days lol Seattle Data Guy: https://youtube.com/c/SeattleDataGuyJake Amaral: https://youtube.com/user/jacobamaral🔗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 00:31 evaluation criteria01:28 freelancing 02:46 Grammarly 04:18 freelancing - make $100/month05:04 technical writing 06:47 tutoring08:19 templates & plugins (also discord bot)09:59 youtube 11:54 courses 13:55 applications 15:55 a job 16:42 startup18:35 summary/analysis20:37 my recommended combination 📲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! :)#Grammarly
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.
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Keywords: ai projects, coding tips, data science, ai apps, ai fundamentals, open source ai Learn more about your ad choices. Visit megaphone.fm/adchoices

Jul 20, 2025 • 2h 38min
2022 create a vision board/book + plan with me! | Tina Huang
2022 create a vision board/book + plan with me!discord: https://discord.gg/Q7rXsdmW (pls go to livestream-chat channel!)Hey y'all let's create a vision board/book together for 2022 and beyond and plan out our goals to achieve them :) Livestream will follow the format as I outlined in this video https://www.youtube.com/watch?v=deIUUboTeig so please check it out if you have a chance :)Also to get the most of the session I would recommend getting a notebook and/board (if you're creating a vision board), scissors, glue stick, markers, and other things to decorate with. You can always do this later but if you have the chance please do also print out pictures that represent your vision and/or find some magazines with visuals of your dreams that you can cut out and paste 🐈🐈This is going to be a super chill workshop and chatting session :) So excited!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.---------------
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Keywords: ai podcast, llm comparison, ai projects Learn more about your ad choices. Visit megaphone.fm/adchoices


