I'm an old-timer (37) who's studying Data Engineering & Data Analytics on the side. I work in Digital Marketing and I do analytics, visualizations, and work with BigQuery already. My thing is, I really like solving technical problems, I also like to use the data and provide clients with insights, but I would also love to bring companies ways that could increase their revenue and profit even more, with machine learning/AI. It's a lot to learn, but where's the hurry. P.s. Love your content and the way you present it, very clear.
bro ur great man .. thanks alot keep going
Sent this through to my recruitment team who currently have a role offer saying “data scientist” when we’re looking for “data engineer” - many thanks for clarification!
thank you Egor for another insightful video! I've seen many discussions and even job requirements that nowadays any "data-related" positions need to have a good grasp on skills that can work with social media platforms (twitter, facebook, etc...). Like doing NLP analytics or webscraping and extracting data from live websites. what do you think about it?
Bro just another great video as usual , but at 0:50 Don't you think that Analysis comes before Transformation , than Optimize
Hello Egor I like watching your videos a lot, they are quite interesting and the advices you offer really useful. I would like to become a data scientist but living in Cuba makes things difficult mainly because I can't access many valuable online resources due to US sanctions. I would like to wish you a lot of success in your career path and please keep creating valuable content.
Great information, as a supply chain management student looking to be more data driven. What input would you have for someone trying to be a supply chain scientist? Would you recommend the supply chain data analytical certification from courersa? Thanks in advance.
What is your salary?
@nocturnemirage