Why You Will Pick the Wrong Career
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Why You Will Pick the Wrong Career

Tina Huang 28.01.2023 833 030 просмотров 40 778 лайков обн. 18.02.2026
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Want to get ahead in your career using AI? Join my FREE workshop: https://www.lonelyoctopus.com/workshop Keep exploring at http://www.brilliant.org/TinaHuang/. Get started for free, and hurry—the first 200 people get 20% off an annual premium subscription. ✉️ 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/ 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! :)

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  1. 0:00 Segment 1 (00:00 - 05:00) 1175 сл.
  2. 5:00 Segment 2 (05:00 - 07:00) 539 сл.
0:00

Segment 1 (00:00 - 05:00)

thank you brilliant for sponsoring today's video Lily is about to graduate from college with a computer science degree she applied to over 200 jobs and went through grueling rounds of interviews but it did pay off and she ended up with two offers one as a software engineer and one as a data scientist she's obviously super happy grateful very relieved but now the question is which to choose on one hand software engineering is something that she's more familiar with it has a lot more job openings it's a more defined career a lot of her friends are software Engineers on the other hand she's always been interested in data she also really enjoyed taking the machine learning courses that were offered as electives and the field of data science seems like it's growing rapidly with more and more people being interested in data and using data so what to do she has watched all the videos about software engineering about data science she's reach out to people on LinkedIn But ultimately it feels really abstract because it's hard to Envision yourself actually going down either career paths and knowing which one you would like better and you know the thing is Lily has always been a pretty indecisive person at least when it comes to her career in college change your major a lot going from Finance to pharmacology to literature and she ultimately settled on computer science basically it has been a struggle and she has commitment issues to her it feels like every step she's supposed to narrow down what it is that she wants to do for the rest of her life with all the other options just closing forever the thought of choosing wrong terrifies her okay so this is what I would tell you don't sweat it girl you're right you are probably going to choose the wrong career wait what did you say but it's okay almost everybody does I mean seriously the probability of you choosing the right career is so small first of all how are you supposed to know you would really like doing something without embarking on that journey and actually experiencing it for example maybe you think data science is about building fancy machine learning models maybe you think it's about like a lot of coding and in reality it might just be you sitting there cleaning data for 80 of your time and losing your mind here's that only 27 of college grads have a job in their major another reason why you probably choose your career wrong it's at the by the careers are very long in fact a lot of the jobs that you see right now were even available like five years or ten years ago and it's hard to imagine what jobs will look like in five years or ten years from now and you get people like me and I genuinely love what I do right now I love my job I think my career is going a direction that I will be very happy with in the future as well but what exactly do I make internet videos for you guys I write a newsletter which by the way y'all should check out over here where I talk about my life and stuff and I run an octopus program about self-learning like what like how could I possibly have known that I would be doing something like this so you see if you somehow decide that you want to just like must exactly get the best career right now that is a lot of pressure on yourself and statistically speaking you're probably going to be wrong unless you know yourself very well and you can also predict the future and even some of the smartest and most successful people out there has pivoted multiple times in their career Elon Musk for example graduated from UPenn with a dual degree in physics and Ecom he started a PhD program in Material Science ended up dropping out and then founded several companies in a bunch of different fields sure Rose Amber the formal CEO of meta she started with a bachelor in economics worked at the World Bank did an MBA went to management consulting worked in advertising and then ended up as the chief operating officer at the tech company okay so I hope I drove home that point that it's okay I don't stress out so much like you're probably gonna choose the wrong career anyway a bit rude but noted and it's okay if you change your mind some of the most successful people do but I do want to make a point that there is one thing that matters way more to have an amazing career and it's something that all successful people share and that is a growth mindset someone with a growth mindset believes that intelligence talents and abilities are learnable and you can improve on them and this is in contrast with someone with a fixed mindset that believes that you pretty much are given what you have and then that's about it so having this growth mindset is what allows you to adapt to improve and to learn so you can thrive in whatever it is that you choose to do and when the opportunity presents itself for something better it allows you to take that opportunity and jump to the next thing and then thrive in that as well now that is how you end up with the best career for you going back to Elon Musk he's one of the best examples out there like the guy started off in something he realized that there was another opportunity that he could take advantage of and he just jumps at the opportunity he went from an econ and physics person to building Rockets that's insane from my personal experience as well I noticed that the smartest people and the most successful people are often those that started off in a certain career ended up like pivoting and jumping when opportunity presents itself for example I know a guy who races bikes and now he works in growth marketing a doctor who became a software engineer and it became a crypto developer these people are so Dynamic and I think they are the ones that end up being the happiest with the career that they ultimately craft for themselves okay so hopefully you feel less stressed out about this now and are more interested in developing a growth mindset but let's go back to Lily's example she still has to make a choice do we go for software engineering or data science well in Lily's case obviously both offers are absolutely amazing my advice would be to go for the choice that allows you to learn the most commit to this open yourself up go out there and learn as much as you can and when you're presented with the opportunity to learn more something that's exciting something
5:00

Segment 2 (05:00 - 07:00)

that's new to keep that opportunity because you're confident in your ability to learn and to adopt any situation which will push you to Greater Heights and that is how you end up crafting your perfect career you see you don't choose craft your perfect career okay so before I end this video I do want to make one more point you see I'm a pretty conservative person by Nature what I mean by this is that I respect people who are able to pursue their passions and be like this is the thing that I love doing and they don't think that much about money or status but with me I do care about money status and I also like having a certain quality of life so if I were given the choice between something like I don't know like a film assistant I may be super interested in Philips super passionate about it or a job offer a tech company in which I'm making really good money I will go with the tech company that's making me really good money but while I'm on that job I would also be self-learning how to do film stuff and maybe create a YouTube channel so I'm able to explore that side of things as well maybe one day I will have an opportunity in which I can then combine these two things together now a word from our sponsor brilliant. org we've been talking a lot today about having a growth mindset having that ability self-study to learn new things well brilliant is a great resource for this for all stem subjects brilliant is a stem learning platform that specializes in interactive Hands-On learning brilliant is so good at learning stem subjects specifically that recruiters and interviewers at top tech companies actually recommend using brilliant to learn and review math and stats for data science interviews it really focuses on not just learning the material but about problem solving and using logic even now when I'm not doing any interviews in particular I still use brilliant to keep on learning new stem subjects and making sure that I don't forget things that I knew in the past especially things like math and stats that I personally have a tendency of forgetting they have Timeless course offerings like math and stats programming in python as well as new course offerings to explore topics like neural networks and Quantum Computing so if you're interested in these subjects you can join in millions of people already learning on brilliant and head over to www. brilliant. org Tina Juan to get started for free also linked in description if you go through my link the first 200 people will get 20 off an annual membership all right back to the video all right I hope you enjoyed this video I hope this was helpful for you I hope you feel less stressed out about choosing the right career and things like that let me know in the comments if you're choosing between different careers right now what the different options are and what you think you're going to do now and I will see you guys in the next video for live stream

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