Object-oriented Programming Visually Explained for Data scientists
👨💻 Master data science skills and build your portfolio in 10 minutes a week https://thu-vu.ck.page/49c5ee08f6 Hi everyone! In this video, I’m explaining the key ideas of object-oriented programming (OOP) that a data scientist should know! Enjoy! 👩🏻💻 COURSES & RESOURCES ▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀ 📖 Google Advanced Data Analytics Certificate 👉 https://imp.i384100.net/anK9zZ 📖 Google Data Analytics Certificate 👉 https://imp.i384100.net/15v9y6 📖 Learn SQL Basics for Data Science Specialization 👉 https://imp.i384100.net/AovPnJ 📖 Excel Skills for Business 👉 https://coursera.pxf.io/doPaoy 📖 Machine Learning Specialization 👉 https://imp.i384100.net/RyjykN 📖 Data Visualization with Tableau Specialization 👉https://imp.i384100.net/n15XWR 📖 Deep Learning Specialization 👉 https://imp.i384100.net/zavBA0 📖 Mathematics for Machine Learning and Data Science Specialization 👉 https://imp.i384100.net/LXK0gj 📖 Applied Data Science with Python 👉 https://imp.i384100.net/gbxOqv 🙋🏻♀️ LET'S CONNECT! ▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀ 🤓 Join my Discord server: https://discord.gg/SK7ZC5XhcS 📩 Newsletter: https://thu-vu.ck.page/profile ✍ Medium: https://medium.com/@vuthihienthu.ueb As a member of the Amazon and Coursera Affiliate Programs, I earn a commission from qualifying purchases on the links above. By using the links you help support this channel at no cost for you. 🔑 TIMESTAMPS ================================ 0:00 - Intro 0:33 - What is OOP? 1:02 - How it works - 4 principles of OOP 5:17 - Pros & Cons 5:50 - When should you use OOP in a Data science project 7:00 - Outro #ThuVu #Datanerd #DataAnalysis #CoffeeData #DataScience #dataanalytics
