Tina Huang

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

Using Perplexity For CouponsTina 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

cake and big sister advice 🖤I bake you guys a cake and dole out career + life advice to celebrate 10k! I'm really so grateful that you're here :)______________________________________________________________________ Other videos you might be interested inHow to learn data science in 2021: https://www.youtube.com/watch?v=Axu4tJl8gbM The resume that got me into FAANG as a data scientist: https://www.youtube.com/watch?v=vx-x-yXXE9I______________________________________________________________________ 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 ______________________________________________________________________ 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 :)I have accepted that I will forever be a lazy person so have since decided to embrace that. My motto is to always minimize effort and maximize outcome! ______________________________________________________________________ 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 gives me a small portion of the sales price at no cost to you. :)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

Discover the secrets to becoming a more productive coder! Learn the importance of planning projects and documenting your code effectively. Find out how scheduling deep work blocks can enhance your focus. Tina highlights the value of taking breaks to spark creativity and problem-solving. Adopting a pre-work routine can set the tone for success. Plus, don’t let ego hold you back—collaboration is key! Tune in for practical tips that can transform your coding habits and reduce burnout.

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 Demo 09:36 Final Thoughts ______________________________________________________________________ Contact: email: hellotinah@gmail.com linkedin: https://www.linkedin.com/in/tinaw-h/ ______________________________________________________________________ Music Credit: Potato Deal - Craig MacArthur Smile - Slynk ______________________________________________________________________ relevant topics: mysql, postgresql, postgresql tutorial ,postgresql tutorial for beginnersFollow 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 data science resume that got me my FAANG (MANGA?) job (entry level data scientist)In this video, I go through the resume that got me into FAANG as a data scientist. The resume is the key to getting that interview, which is definitely the hardest part of the entire application process for a data scientist. Our role is super popular but actual positions few and far between. That's why I spent A LOT of time on this resume to get my foot in the door. We're going to go through this line by line and item by item as I go into the details and roast it hard. Sit back and enjoy! :)📜My resume: https://drive.google.com/file/d/1RS06YjcV4GoxZD0EOI3chzw9UgH20o4F/view?usp=sharing🔗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📲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 #DataScienceResume #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

3rd Year Statistics, Data Science, Computer Science Resume | Reviewing Your Resumes Ep. 1You should watch this video if you are applying for internships or full time jobs in software engineering and/or data science. In this video, I review Rachel's statistics, data science, and computer science resume, which she plans to submit for both data science and software engineering internships. I give in depth feedback, advice, and strategies for tailoring the resume for the role and how to pass ATS (Applicant Tracking Systems) that automatically parse resumes.00:00 Intro 00:54 What Rachel is Applying For 01:15 Strategy for Multiple Resumes 01:49 Start of Resume Review 03:34 Focus on Impact 04:02 Beepbeep Cat Says Hi 05:26 Consistent Tenses + Active Verbs 06:33 Simplify Language 08:45 How to Structure Each Item 10:50 Resume Formats 11:59 ATS Automated Parsing 12:43 List Technologies 13:26 My Resume Format 13:45 Conclusion 14:11 How to Submit Resume for Me to ReviewRachel's channel: https://www.youtube.com/channel/UCGr65O0GnTxsynaXZULN9SAFeel free to email me about anything: hellotinah@gmail.comFollow 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

Tina delves into her ambitious goals for 2026, emphasizing the power of AI in achieving efficiency. She shares her philosophy of minimizing effort while maximizing results in tech and coding. Insightful discussions on career development and self-study techniques lead listeners to rethink their own paths. Tune in for clever insights perfect for those looking to learn on the move!

Dive into the art of efficient learning with fascinating insights on focused versus diffuse thinking. Discover how techniques like relaxation and walking can unlock creative problem-solving. Uncover the limits of working memory and the importance of chunking information for better retention. Explore the fun side of learning by mapping skills to RPG attributes. Learn to overcome procrastination with actionable tactics and enhance your memory with spaced repetition. Plus, harness the power of collaboration and AI in your learning journey!

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/@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