Summary
Marketers are increasingly vocal about the inefficiencies in advertising spending, particularly the phenomenon known as "bull spend," where metrics may look impressive but fail to translate into actual revenue. This issue is highlighted in discussions around the need for more meaningful metrics beyond mere impressions, emphasizing the importance of focusing on return on investment rather than just reach.
The conversation also touches on effective note-taking strategies that enhance learning and retention. Techniques such as priming the brain before note-taking, focusing on high-level concepts, and using active recall are emphasized as ways to improve understanding and memory. The speaker shares personal preferences for handwritten notes, which they believe aid in retention, and outlines a systematic approach to organizing notes that allows for easy reference in the future. This method includes summarizing key points at the end of each section, further reinforcing the learning process.
Show Notes
How I take notes - Tips for efficient note taking that speeds up learning
Hi friends! In this video, I share with you guys how I take notes from start to finish. I love things that minimize effort and maximize outcome so my note taking also doubles as a way to speed up the learning process. It's also fast and efficient, but still easy to reference when I want to revisit the notes in the future. I hope you enjoy this video: How I take notes - Tips for efficient note taking that speeds up learning Timestamps 00:00 Intro 01:23 Stationary02:48 Pre-notetaking 03:17 Notetaking03:35 Notetaking - system04:11 Notetaking - focus on high level concepts05:05 Notetaking - focus on own insights and connections06:22 Notetaking - full examples08:45 Notetaking - tip if you have FOMO09:07 Post-notetaking _____________________________________________________________________discord: https://discord.gg/5mMAtprshXlivestreaming google calendar: https://calendar.google.com/calendar/u/1?cid=cDBtOGgxOG1waW92bTJxYzdpZmkzNmgwODhAZ3JvdXAuY2FsZW5kYXIuZ29vZ2xlLmNvbQSQL for tech and data science interviews course with 10 mock interviews: https://www.udemy.com/course/sql-for-tech-and-data-science-interviews/?couponCode=DF947818F15A561AE84E ($12.99 promotion until July 18th, 2021!) _____________________________________________________________________Other videos you might be interested inHow I would learn to code (if I could start over):https://youtu.be/MHPGeQD8TvIHow to self study technical things:https://www.youtube.com/watch?v=_EzmbCuoFcU______________________________________________________________________Subscribe: https://www.youtube.com/channel/UC2UXDak6o7rBm23k3Vv5dww/?sub_confirmation=1______________________________________________________________________Real SQL interview question walkthrough series: https://www.youtube.com/watch?v=Td-cmLfQ7uU&list=PLVD3APpfd1tuXrXBWAntLx4tNaONro5dA**Check out StrataScratch for SQL interview prep: https://stratascratch.com/?via=tina______________________________________________________________________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 :) ______________________________________________________________________Contactyoutube: 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] If you're reaching out through linkedin, please leave a youtube comment just letting me know that you reached out :) ______________________________________________________________________Links marked with * are tracking links that track traffic that comes from my channel. Links marked with ** are affiliate links where I receive a small portion of the sales price at no cost to you. I really appreciate your support in helping improve this channel! :)#howitakenotes #datascience #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/@TinaHuang1Disclaimer: This podcast is an independent audio adaptation of content originally created by Tina Huang.
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A productive day as a data scientist | day in the life of a data scientist vlog #2This was a nice day :) ______________________________________________________________________ You might also be interested in these videosA less productive day in the life of a data scientist: https://www.youtube.com/watch?v=lCi6fWuI8r4 How to choose between software engineering and data science: https://www.youtube.com/watch?v=JUkSeqe1eYQ______________________________________________________________________ Subscribe: https://www.youtube.com/channel/UC2UXDak6o7rBm23k3Vv5dww/?sub_confirmation=1 ______________________________________________________________________ Real SQL interview question walkthrough series: https://www.youtube.com/watch?v=Td-cmLfQ7uU&list=PLVD3APpfd1tuXrXBWAntLx4tNaONro5dACheck out StrataScratch for SQL interview prep: https://stratascratch.com/?via=tina ______________________________________________________________________ Contactyoutube: youtube comments are by far the best way to get a response from me! linkedin: https://www.linkedin.com/in/tinaw-h/ (second preferred but I might suck at responding) email: [email protected]*If you're reaching out through linkedin or email, please 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! :)#DataScience #DataScientist #TinaHuang data scientist day in the life, day in my lifeFollow 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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