Why being a data scientist is awesome! | Tina Huang

Why being a data scientist is awesome!

In the last video, we talked about why you should not be a data scientist. If you still think that data science could be the right career path for you then this video is for you! In this video, we're going to flip it around and talk about why being a data scientist is awesome! Which I clearly think it is since I'm here talking to you still as a full time data scientist :) 🔗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=tinaTimestamps 00:00 Intro00:31 6 figure entry level salary02:21 freedom to explore 03:32 applicable to many industries 04:41 never get bored 06:40 specialization 08:26 easily transferable to other roles _____________________________________________________________________instagram: https://www.instagram.com/hellotinah/linkedin: https://www.linkedin.com/in/tinaw-h/ discord: https://discord.gg/5mMAtprshXstudy with Tina channel:https://www.youtube.com/channel/UCI8JpGrDmtggrryhml8kFGwlivestreaming google calendar:https://bit.ly/3wvPzHB_____________________________________________________________________Other videos you might be interested inWhy you should not be a data scientist: https://www.youtube.com/watch?v=sOZ8MxFw8TQ&t=36sWhy I work so hard (despite having a 'good' job): https://www.youtube.com/watch?v=XPYT8BaTqoA&t=112sHow I would learn to code (if I could start over): https://www.youtube.com/watch?v=MHPGeQD8TvI&t=84s______________________________________________________________________Subscribe: https://www.youtube.com/channel/UC2UXDak6o7rBm23k3Vv5dww/?sub_confirmation=1______________________________________________________________________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 :) ______________________________________________