Answering ALL your DATA SCIENCE questions: salary, work life balance, tech interviews, and more!

Answering ALL of your DATA SCIENCE questions: salary, work life balance, breaking into data science, building portfolio projects, the future of data science and more 🫶 📲Socials: instagram: https://www.instagram.com/maggieindata linkedin: https://www.linkedin.com/in/y-maggie-ma/ discord: https://discord.com/invite/DSKykW5bAQ 🎥Watch next: Day in the life as a data scientist in Toronto: https://youtu.be/kGnEeJ6nY18 Beginner Friendly Python Tutorial EDA (mentioned in video): https://youtu.be/pkYtQjHhi3Q Week in my life | office tour, 1:1 with CEO, daily tasks: https://youtu.be/yoeaelkOP3s 00:00 intro 00:44 agenda 01:24 my education background and how I chose my majors 02:54 my 7 internships experience: my first job ever, how I got these opportunities 05:21 do i have a master’s degree? 05:48 my tech interview experience 06:21 big tech vs start up 07:45 work life balance 08:45 all about imposter syndrome 09:47 data scientist salary expectations 11:18 what data scientists really do 11:54 steps by steps guide on approaching a data science problem in industry 13:20 skills you need to break into data science 14:01 what I actually do at work 15:02 work environment in tech 15:40 resources to prepare for data science interviews 16:45 data science vs software engineer: degree or bootcamp? 17:34 current job market landscape in data science and in tech 18:24 how to get started on data science portfolio projects 19:19 how many projects should I have in my portfolio 19:37 future of data science and AI 🖥️My Cozy Desk Set Up https://kit.co/maggieindata/desk-setup Business Inquiry Only: [email protected] tags: data science q&a, q&a, data science questions, how to break into data science, breaking into data science without degree, how to build a data science portfolio, data science portfolio projects, tech, startup, start up culture, day in the life working in tech, what do data scientists get paid, my experience as a data scientist, my experience as a data scientist working in tech, maggie in data, university of toronto, toronto, toronto living, how to get a job in data science, my journey, my journey breaking into data science, machine learning, future of data science, future of technology, ai, future of ai #datascience #tech #q&a