How to Take Notes for Technical Things | Tina Huang

Marketers are increasingly concerned about the effectiveness of their ad campaigns, with many reporting that impressive dashboard metrics do not translate into actual sales. This phenomenon, referred to as "bull spend," highlights the disconnect between metrics like impressions and tangible revenue. Experts emphasize the importance of focusing on return on investment rather than just reach, with LinkedIn being noted for its high return on ad spend.

In a discussion on effective note-taking for technical subjects, a speaker critiques traditional methods that prioritize memorization over practical application. They advocate for a two-pronged approach to note-taking that includes pre-learning techniques, such as priming, which involves familiarizing oneself with course content before diving in. This method not only enhances understanding but also maintains motivation by connecting learning to real-world projects.

The speaker also shares their personal note-taking system, which emphasizes creating a framework of references and documenting insights during the learning process. By focusing on how concepts interconnect and providing examples, learners can better grasp complex material. Additionally, they stress the importance of project notes, which serve as valuable resources for future reference, particularly in coding and technical fields.

How to Take Notes for Technical Things

The first 1000 visitors to https://www.shortform.com/tinahuang will receive a 20% discounted annual subscription.✉️ 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 how to take notes for technical things like coding, data infrastructure, math, web development, and data science.🔗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/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! :)

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