Why you keep quitting online courses (and then buy more) | Tina Huang

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/3LmOhqk Timestamps ======================== 00:00 Intro 00:53 Google data analytics certificate overview 02:21 IBM data analyst certificate overview 03:02 Similarities 03:50 Differences - Career development 03:40 Differences - Tech stack 06:38 Differences - Teaching style 08:27 Differences - Language 08:42 Differences - Projects esp. Capstone project 10:19 My recommendation & why 12:42 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/UCI8JpGrDmtggrryhml8kFGw How to make a studying scoreboard: https://www.youtube.com/watch?v=KAVw910mIrI Scoreboard website: scoreboardswithtina.com livestreaming 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=INymz5VwLmk How 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/@TinaHuang1 Disclaimer: This podcast is an independent audio adaptation of content originally created by Tina Huang. ---------- 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 [https://megaphone.fm/adchoices]

Watch This If You Need AI Use Cases Inspo | Tina Huang

Watch This If You Need AI Use Cases Inspo 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. ------- ------------- 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 [https://megaphone.fm/adchoices]

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=303s Our 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_3n0IYE The 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=tina Also 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/@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. ------------ 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 [https://megaphone.fm/adchoices]

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.pdf I 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/UCI8JpGrDmtggrryhml8kFGw How to make a studying scoreboard: https://www.youtube.com/watch?v=KAVw910mIrI Scoreboard website: scoreboardswithtina.com livestreaming 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=INymz5VwLmk How 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/@TinaHuang1 Disclaimer: This podcast is an independent audio adaptation of content originally created by Tina Huang. --------------- 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 [https://megaphone.fm/adchoices]

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-yXXE9I How 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=lCi6fWuI8r4 How 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/@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. -------------- Keywords: ai safety, coding tutorials, ai tools, programming Learn more about your ad choices. Visit megaphone.fm/adchoices [https://megaphone.fm/adchoices]