Summary
Many marketers are expressing frustration over the phenomenon known as "bull spend," where advertising metrics appear favorable until scrutinized by financial officers. This has led to calls for a reevaluation of marketing strategies that prioritize superficial metrics over genuine brand growth.
The discussion shifts to the online learning industry, where a staggering 90% of individuals reportedly do not complete the courses they enroll in. This issue is attributed to the design of many online platforms, which prioritize profit over educational quality. Companies like Udemy and Skillshare have shifted their models to focus on quantity rather than quality, resulting in a plethora of low-cost courses that often lack depth and engagement.
In contrast, platforms like Coursera and Udacity, while still facing challenges, offer a more structured and potentially rewarding learning experience through partnerships with recognized institutions. These platforms aim to provide a better return on investment for students, although they still grapple with completion rates. The conversation concludes with suggestions for learners to take control of their education by selecting courses thoughtfully and seeking out more interactive and engaging learning environments.
Show Notes
Why you keep quitting online courses (and then buy more)
Head to http://brilliant.org/TinaHuang/ to get started for free with Brilliant's interactive lessons. The first 200 people will also get 20% off an annual membership.✉️ 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 you keep quitting your online courses and then go and buy more. Then the cycle repeats itself... 🖱️ Some Additional Resources========================https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4046684/https://www.researchgate.net/publication/330316898_The_MOOC_pivot https://files.eric.ed.gov/fulltext/EJ1062943.pdfI didn't address explicitly that having degrees/certificates that actually mean something (like for Coursera and Udacity) also helps a lot with engagement, although of course that also makes them more expensive: https://docs.wixstatic.com/ugd/cc7beb_5803e625ebee463ebc6f4796027366f1.pdf🔗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! :)
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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ADE is here!Tina is a former data scientist at Meta.Her channel focuses on AI, coding, tech, career development, and self-study.Always striving to minimize effort while maximizing outcomes.In fact, she firmly avoids doing extra work to reach her goals - one of the many reasons she loves AI.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. 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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