You should then make 2 separate lists, one list for web dev technologies and a second list for data science, AI and ML ... the overlap between these two areas (people who can do both) is close to zero.
I appreciate your opinion. But I really don't understand, why people treat Data Science differently...
Nowadays Data Science is everywhere. For example, if someone has an E-commerce site, they can trained a module based on existing data and make some predictions for his business strategy.
Now, Data Science has two parts,
1) Research -- Only for Data Scientist.
2) Coding staff -- web developers can do it easily.
Right, I see your point - if you leave the research (the conceptual "thinking") to a proper data scientist, then writing the code can probably be done by a developer versed in Python or whatever language is required. But in that case I wonder how much real "data science" is needed at all by the dev, it's a matter of coding what the data scientist cooks up.
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Machine Learning, AI also comes in this list.
You should then make 2 separate lists, one list for web dev technologies and a second list for data science, AI and ML ... the overlap between these two areas (people who can do both) is close to zero.
I appreciate your opinion. But I really don't understand, why people treat Data Science differently...
Nowadays Data Science is everywhere. For example, if someone has an E-commerce site, they can trained a module based on existing data and make some predictions for his business strategy.
Now, Data Science has two parts,
1) Research -- Only for Data Scientist.
2) Coding staff -- web developers can do it easily.
Right, I see your point - if you leave the research (the conceptual "thinking") to a proper data scientist, then writing the code can probably be done by a developer versed in Python or whatever language is required. But in that case I wonder how much real "data science" is needed at all by the dev, it's a matter of coding what the data scientist cooks up.