
Summary
Marketers are increasingly voicing concerns over "bull spend," a term used to describe advertising expenditures that yield impressive metrics but fail to translate into tangible results. This phenomenon is highlighted in discussions about the effectiveness of ad campaigns, particularly when metrics like impressions are prioritized over revenue generation. The call to action is clear: marketers should focus on metrics that truly reflect business success rather than those that merely look good on dashboards.
In the realm of coding, beginner programmers are encouraged to embark on various projects that not only enhance their skills but also serve practical purposes. Projects range from automating decision-making processes to creating personal finance dashboards and even developing games. For instance, one suggested project involves building a recommendation system for anime using Python, which can evolve from a simple list to a more complex application utilizing APIs and data manipulation techniques.
Additionally, the podcast explores the burgeoning field of NFTs and cryptocurrency, suggesting projects that analyze NFT collections and predict Ethereum prices. These projects leverage data science tools and techniques, allowing aspiring developers to engage with current trends in technology and finance while honing their programming abilities. The emphasis is on starting small and gradually building complexity, fostering a hands-on learning experience that can lead to more advanced applications in the future.
Show Notes
5 Unique Python Projects (beginner to intermediate)
The projects cover a variety of different topics from NFTs to games to data science! ✉️ NEWSLETTER: https://tinahuang.substack.com/ It's about learning, coding, and generally how to get your sh*t together c: 👨💻 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)🖱️Links mentioned in the video========================Avery's NFT network analysis tutorial: https://www.youtube.com/watch?v=Fxdqwqo-1TISnake game base project: https://www.geeksforgeeks.org/create-a-snake-game-using-turtle-in-python/Ethereum price prediction base project:https://medium.com/bitgrit-data-science-publication/ethereum-price-prediction-with-python-3b3805e6e512🔗Affiliates========================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. 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. 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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