Why I work so hard (despite having a ‘good’ job) | Tina Huang

Marketers are increasingly vocal about the inefficiencies of spending on metrics that may appear impressive but fail to deliver real value, a phenomenon referred to as "bull spend." This critique highlights the disconnect between flashy marketing dashboards and the actual effectiveness of campaigns, particularly when scrutinized by financial officers. The conversation emphasizes the need for more strategic spending, particularly on platforms like LinkedIn, which offers targeted advertising options.

In a personal reflection, a data scientist shares insights on the importance of continuous learning and adapting one's career path. They argue that the concept of a "dream job" is misleading, advocating instead for a proactive approach to creating personal happiness through diverse interests and skills. By blending their day job in data science with pursuits like YouTube and trading, they illustrate how varied experiences can enrich professional capabilities.

The speaker also discusses the complementary nature of seemingly unrelated skill sets, using their background in pharmacology and computer science to enhance their work as a data scientist. They stress the value of learning how to learn effectively in an age saturated with information, suggesting that the ability to distill and synthesize knowledge is crucial for success in technical fields. Ultimately, they advocate for a supportive community to foster accountability and motivation in the pursuit of lifelong learning.

Why I work so hard (despite having a ‘good’ job)✉️ 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 I always make time to learn new things AND how I manage to do it even though life gets very busy balancing being a data scientist, a course instructor, youtuber, and a (still relatively new) trader.🔗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 01:12 Create your own happiness 03:11 The whole is greater than the sum 05:33 Efficient learning in the information age 07:18 Learning is fulfilling 07:59 How I maintain this habit📲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: [email protected]======================== 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! :)#learningnewthings #dreamjob #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.

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