Get the foundation strong first.

There is no need to start with Python or R.

In Fact learn them last.

There is an emerging trend I see online that #datascience is all about learning #R or #Python and a false belief that as soon as you learn these you are good to go. This thinking is far from the truth.

I agree that SQL is a tool.

Then we have to decide on the features that are important to solve the problem. knowledge of the domain(atleast the basics) will be handy here. We retrieve the data we need.

Next, we decide on what statistical approach is needed to solve the problem. If it is a classification problem,what approach we going to take? If it is a clustering problem are we gonna use K means or something else?and so on. Knowledge about some statistics will help you there.

Then finally we need the tools – R or Python. We make use of these tools to apply the concepts on our data.

Do not confuse tools with concepts. Learn the right way.

Happy learning!

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