All of these job titles do get confusing, especially when so many job listings use them interchangeably! I guess that’s why you have to just read the listing sometimes even if it’s not titled exactly what you call yourself haha
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!
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.
@@egorhowell Not entirely certain yet (probably doesn't sound too good...), but I might be content in a role between Data Engineer & Data Analytics, someone who does both. But, I want to look into these titles and careers more and see what it is that feels more like me. Then, I should probably do a Master's Degree in a STEM subject on top of my Business Bachelor, to even the deck. Right now I am enjoying studying Datacamp's Associate Data Engineer in SQL & Associate Data Analyst in SQL Career Tracks, from which I want to continue to the Python tracks. In addition, I do work with some BigQuery stuff at work and will be increasing my workload in that since it's interesting. On top of that, I found this book called "Learn to Code with (Ice) Hockey", which I'm enjoying as I am a fan of the sport and like to dig into player analytics. P.s. Sorry for the long read 😄
@@egorhowell That being said, I would be interested in being a Marketing Data Scientist, as I have a decades' worth of experience in it so it would support my career very well. Probably have to interview a few Marketing Data Scientists and see what their job is like day to day. Obviously having been an entrepreneur, I have no problem going on my own and doing whatever I feel like :D
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?
Hmmm, I guess it depends on what company you work for. I mainly work in the supply chain industry and this is not the case. From experience, I don't think this is a requirement and I haven't really seen these on job descriptions.
@@egorhowell thank you for your reply. maybe it depends on each company, or there's a different demand for each region. regardless of the situation, it seems like the distinction between data roles can be a bit ambiguous and wide. it seems like becoming an "all-rounder" person in the data landscape will make that person highly marketable!
Yeah it can. I have always been a big believer that you can learn a specialty like recommendation systems and reinforcement learning in a year. You will not be a complete expert of course, but you will know the area to a good standard that you can probably work a job there.
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.
I see your point, technically you should be analysing at each step to make sure everything is correct. By analysis I mean using the tables to answer a business problem, however you may have to transform your tables to do this :)
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.
Hey, I haven't done the certificate myself, so can't say if I recommend it or not! In general, I would say its better to do a supply chain based project and document it somehow.
hi, what you do think about Jay L Devore book: "probability and statistics for engineering and the sciences" for LEARN data science STATISTICS? greetings from Chile
bro ur great man .. thanks alot keep going
Cheers bro, thanks for the support!
All of these job titles do get confusing, especially when so many job listings use them interchangeably! I guess that’s why you have to just read the listing sometimes even if it’s not titled exactly what you call yourself haha
Very true! Its a new field, so the naming conventions can be ambiguous.
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!
Glad it was of value to you!
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.
Thank you man!!! Are you planning on transitioning to DS?
@@egorhowell Not entirely certain yet (probably doesn't sound too good...), but I might be content in a role between Data Engineer & Data Analytics, someone who does both. But, I want to look into these titles and careers more and see what it is that feels more like me.
Then, I should probably do a Master's Degree in a STEM subject on top of my Business Bachelor, to even the deck.
Right now I am enjoying studying Datacamp's Associate Data Engineer in SQL & Associate Data Analyst in SQL Career Tracks, from which I want to continue to the Python tracks.
In addition, I do work with some BigQuery stuff at work and will be increasing my workload in that since it's interesting.
On top of that, I found this book called "Learn to Code with (Ice) Hockey", which I'm enjoying as I am a fan of the sport and like to dig into player analytics.
P.s. Sorry for the long read 😄
@@egorhowell That being said, I would be interested in being a Marketing Data Scientist, as I have a decades' worth of experience in it so it would support my career very well. Probably have to interview a few Marketing Data Scientists and see what their job is like day to day. Obviously having been an entrepreneur, I have no problem going on my own and doing whatever I feel like :D
yeah fair enough, sounds ideal for you!!!
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?
Hmmm, I guess it depends on what company you work for. I mainly work in the supply chain industry and this is not the case. From experience, I don't think this is a requirement and I haven't really seen these on job descriptions.
@@egorhowell thank you for your reply. maybe it depends on each company, or there's a different demand for each region.
regardless of the situation, it seems like the distinction between data roles can be a bit ambiguous and wide. it seems like becoming an "all-rounder" person in the data landscape will make that person highly marketable!
Yeah it can. I have always been a big believer that you can learn a specialty like recommendation systems and reinforcement learning in a year. You will not be a complete expert of course, but you will know the area to a good standard that you can probably work a job there.
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.
I wish you all the luck in your journey!!!
Bro just another great video as usual , but at 0:50 Don't you think that Analysis comes before Transformation , than Optimize
I see your point, technically you should be analysing at each step to make sure everything is correct. By analysis I mean using the tables to answer a business problem, however you may have to transform your tables to do this :)
@@egorhowell I see that, I liked your opinion on this greatly
Thank you!
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.
Hey, I haven't done the certificate myself, so can't say if I recommend it or not! In general, I would say its better to do a supply chain based project and document it somehow.
hi, what you do think about Jay L Devore book: "probability and statistics for engineering and the sciences" for LEARN data science STATISTICS? greetings from Chile
Hey, can't comment as I haven't used it before!
@@egorhowell ok, thanks
No problem
What is your salary?
Unfortunately I can't disclose that