Data analysis is for everyone, day-a-day everybody conscious or not uses this tool.
Data analysis is a basic biological activity, so that be an easy conclusion!
If you mean working with Large sets of data, perhaps this is not really somethin everybody do, however everybody gain a lot of insight when is able to arrange data in a Summary
In this sense perhaps Data visualization is much more important for Non-professionals.
In any case, more than Data Analysis, perhaps Statistics is the real math everybody should learn first of all. The science of uncertainty makes much more sense than doing the right thing
Let me answer the question this way. If the question is modified to: “Does every person regardless of his/her profession need to understand how the human body functions?”
Perhaps the answer would be - Well every person does need to understand how the human body functions, but the scope of his/her need of understanding would depend on the profession.
For someone like me in an IT profession, I need to understand it sufficiently to the extent that I need to rest my eyes once in a while, my back needs to be in correct posture, I need to keep myself fit, etc.
A medical professional needs a far more elaborate understanding of the human body. A research scientist working on COVID-19 vaccine also needs a far more elaborate understanding but in perhaps a slightly different manner than a doctor.
So - the same argument will apply to data analytics - more or less.
@jayesh.gokhale You replied to another question!
More or less.
@Jose Elizalde You are in the supermarket. Toothpaste A has great taste and can fight plaque and is priced at $2. Toothpaste B can fight plaque and can whiten your teeth and is priced at $1.50 only if you buy 3 of them.
Which one do you buy? Depending upon where you are coming from, you make a decision.
So - everyone who makes decisions, analyses data.
To widen the scope, every profession requires taking decisions at different levels, requiring data analysis.
But depending on your profession, it may or may not be part of your job to do large-scale number crunching and analytics. Data Science, Big data, ML, Ai are entire fields.
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