
Summary
Marketers are increasingly vocal about the phenomenon known as "bull spend," where advertising budgets are allocated to metrics that appear impressive until scrutinized by financial officers. This trend is highlighted in discussions among marketers who share their experiences and frustrations with ineffective spending strategies that fail to deliver tangible results.
A significant focus is placed on the Georgia Tech Online Master of Science in Computer Science (OMS CS) program, which has gained popularity due to its affordability and accessibility. The program requires 30 credit hours and offers various specializations, but prospective students are cautioned about the substantial background knowledge needed to succeed. Many courses assume familiarity with advanced concepts, making it challenging for those without a relevant undergraduate degree.
Concerns are raised about the program's support structure, as students may find themselves relying heavily on self-study due to limited assistance with homework and projects. Additionally, the lack of transparency regarding job placement statistics raises questions about the program's effectiveness in enhancing career opportunities. Ultimately, the program is deemed suitable primarily for individuals with a strong foundation in computer science or those willing to undertake significant self-study before enrollment.
Show Notes
Watch this video before applying to Georgia Tech OMSCS
Georgia Tech OMSCS is not for everyone.Btw sorry about audio quality, I have no idea what happened :( maybe turn on subs? ____________________________________________________________________Timestamps00:00 Intro00:52 Program overview02:14 Pros 03:15 My concerns + who should not take this program08:32 Who this program is for09:32 Who else this program is not for _____________________________________________________________________discord: https://discord.gg/5mMAtprshXlivestreaming google calendar: https://calendar.google.com/calendar/u/1?cid=cDBtOGgxOG1waW92bTJxYzdpZmkzNmgwODhAZ3JvdXAuY2FsZW5kYXIuZ29vZ2xlLmNvbQ_____________________________________________________________________Other videos you might be interested inHow to learn data science in 2021: https://www.youtube.com/watch?v=Axu4tJl8gbMThe resume that got me into FAANG as a data scientist: https://www.youtube.com/watch?v=vx-x-yXXE9I______________________________________________________________________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______________________________________________________________________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 :) ______________________________________________________________________*The StrataScratch affiliate program give me a small portion of the sales price at no cost to you. I really appreciate your support in helping improve this channel! :)#Computer Science #OMSCS #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. 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.
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Watch This If You Need AI Use Cases Inspo 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/@TinaHuang1 Disclaimer: 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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