Answering All Your Data Science Questions скачать в хорошем качестве

Answering All Your Data Science Questions

Hey there! In this video, I reply to some of the most common questions I get about data science in my comment section. I hope this helps clarify things. If you have more questions, please leave them in the comments—I might make a part two! NB: This video was filmed by the end of 2024 and has been stuck in editing for a while. If you are interested in reading about productivity, career, life design, and many more, check out my blog @ https://agnesaugustine.com 📙Resources mentioned in this video: 🔸Show Your Work: https://austinkleon.com/show-your-work/ 🔸Mathematics for Data Science on Coursera: https://www.coursera.org/specializati... 🔸Full Stack Data Scientist:   / journey-to-full-stack-data-scientist-model...   🔸Mathematics of Data Science: https://ocw.mit.edu/courses/18-s096-t... ⏱️TIMESTAMPS 00:00 Introduction 01:20 Is it possible to learn data science from online resources 04:24 Can freshers become data scientists 04:36 How not to waste time doomscrolling 05:33 Is it a good idea to quit your job to pursue data science 07:07 How to get a good remote job 09:24 Data science or full-stack development 11:20 Is a career gap a problem 13:26 How to land internships 14:16 How much DSA is needed for data science roles 16:03: How much math is needed for data science roles 16:40 Is it possible to switch to data science from mechanical engineering 17:00 Is an undergrad in data science worth it 18:10 My Master's specialization 18:40 Immigration plans 20:00 Wrap up 👩🏽‍💻WHO AM I: I'm Agnes, a full-time data scientist and a micro content creator from Kerala, India, who lives in Toronto, Canada. I create content about intentional life design, including career, productivity, nutrition, and more. #datascience #careerintech #qanda