My boss gave
me 30 days (not working days) to learn Python to transfer to Data Science team.
What is the best approach to learn as much as possible?
Background: I’m working as DB and BI Developer and interested
in joining Data Science team. Boss asked me to learn Python as much as possible
and he will hold a test and interview after 30 days. Just to be clear - I’m not
looking at Python web development.
In order to prepare for a position on a team you already
work closely with, you should spend close to 100% of your time learning about
their Python code, not “learning Python”.
However, for most data scientist positions, you
won't be able to learn the required skills in 30 days. If the only thing separating
data scientists from BI developers at your company is Python knowledge, they
are BI developers who know Python.
Data science heavily involves statistics in most
cases. You cannot learn applied statistics enough for those positions without
investing a lot of time. If you spend 30 days learning a language and
memorizing a few snippets of ”data science” code, and then start applying
statistics, you will make many mistakes and you will have no way of knowing
that you're making them. And if that's how your data science team is run, you
may not want to be a part of it.
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