Data Science Career, Work-life Balance, Study: 15K Sub Q&A
🔥 Receive top data science/ AI insights in your inbox 👉 https://thu-vu.ck.page/49c5ee08f6 🔗 Teach yourself CS (including Data structures & Algos): https://teachyourselfcs.com/ 🔑 TIMESTAMPS (I'm very sorry if I missed any of your questions! I hope I will be able to answer them in another video or another time 😉) ================================ 0:00 - Thank you 🙌🏽 0:40 - What is your belief on work-life balance? 2:08 - Is data analytics a stressful lifestyle; meaning, are you constantly having to work overtime? 2:47 - How often of each skillset (tableau, python, etc.) would you say you spend the most on? 3:13 - How can we make transition to making portfolio projects and most importantly showcase them? How many projects are optimal and or minimum for a portfolio? 4:00 - Tell us about your time in Vietnam! 🇻🇳 South or North? What made you want to learn English and move abroad. How come you chose The Netherlands? 4:50 - I am also planning on taking another Bachelor's. What do you think would be beneficial if I want to go to the IT Business Analyst track, to study CS or straight up go to a Bachelor's in Data Science? 5:39 - I am a physicist with Ph.D., strong knowledge in statistics and experience in scientific programming in R, but without experience in the industry. Should I try a position as a data scientist at the entry level or a higher level? 6:39 - Would you like to share your experience in studying abroad? 8:12 - How do you approach dealing with Math, specifically those that are technical? 8:52 - At what point can one use the Data Scientist/ Data Science consultant title? 9:36 - Pros and cons of working in data analytics at a consulting firm vs industry 10:25 - It would be really great for us if you start tutorial on advanced Data Science concepts. 11:07 - How old are you? (It's ok if you don't want to answer this 😅) 11:26 - How much time it took you to become an independent professional on the data analytics field 11:54 - How much mathematics do we need to learn for data analytics and machine learning. 12:47 - How long do you think it will take for one to start learning data analytics(beginner level) and be ready to apply for jobs? 13:34 - How did you handle impostor syndrome as a junior data analyst? And what would you advise? 14:50 - Could you address how you network to find a job? I understand that I should connect on linked and join career fair, but I don’t know how should i talk to network with them? 15:15 - What's your preferred development environment to build an end-to-end data science project?. 15:38 - Interview process of data analyst? 15:55 - Will there be the case for mixing data analyst and data scientist job? 16:26 - How do you manage to work at a faang company and still have time for YouTube and personal life?? 17:06 - How much data structure and algorithm is needed for better data science career? 18:18 - What are some books that helped you in your career and in your life? 👩🏻💻 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 some of the links above. It costs you nothing but helps me with content creation. #DataScience #Datanerd #DataAnalysis #CoffeeData #ThuVu #dataanalytics
