NO FUTURE FOR DATA SCIENCE?| how to become data scientist, needed skills, Python, insights

Hello, guys! My name is Anna, I’m Data Analyst. In this video I’m talking to engineering manager Andrew Kusyy who has been working as Lead Data Scientist for 2,5 year. Andrew worked for Softserve, Toptal and Grammarly (currently). In this video you can find the answers to such questions as how to become a data scientist, what background is needed for Data Science and Machine Learning, how much SQL or Python is needed for data scientist, what skills are really important (not obvious) or maybe you should try data engineering? Plus, Andrew is explaining the tasks of Lead Data Scientist and engineering manager, giving the sense of unsuccessful manager, micromanagement and sharing info about IT jobs that will be in demand or fashionable next years or even decade (if you considering where to go it will be very useful). I guess, one of the most important thing that we are discussing is an impact of no-code or low-code platforms on data science. If you just starting your career path as a data scientist, watch this video till the end as Andrew is giving really cool advises. If you have any questions to me or Andrew or comments please write below 🙏 Please subscribe my channel and click like ❤️ Time codes: 00:43 - careerpath to data scientist 01:37 - 2 ways to data science 02:23 - what does Lead Data Scientist do 03:00 - important skills for Lead Data Scientist or Engineering Manager 04:30 - difference between "good" and "bad" Lead or Manager 06:04 - needed skills for Data Scientist 08:36 - how much Python or SQL is needed for Data Scientist 11:30 - Future for Data Scientist 15:37 - Are jobs in data science or ML areas overrated? 21:55 - Recommendations for Data Scientists and beginners I post daily stories about my life and data analyst routine on my Instagram - Instagram • https://www.instagram.com/artamonova_anya/ ---------------------------------------­­-- Credit song: https://tunetank.com/track/1598-urban-vibe #howtobecomedatascientist #dataanalysis #datascience #engineeringmanager