What is Data Science?

Data Science

Smit Kiri's avatarLucid Tech

You probably hear the word “Data Science”
on a regular basis. But what exactly is data science? And why are we
hearing so much about it now?

First let us understand why data science is needed.

The need for Data Science

In this era
of smartphones and internet, we have seen an exponential increase in
data. More and more data is produced everyday as the number of people
using internet is increasing. This led to the problem of storing the
enormous amount of data. Frameworks like Hadoop and others solved the
problem of storing the data. But what about processing this data? The
previous techniques can no longer be used efficiently as they were built
of processing on smaller data.This is where Data Science comes into the picture.

What is Data Science?

The formal definition of Data Science goes as follows: “Data
scienceis an interdisciplinary field that uses scientific methods,

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Data Analysis vs Data Analytics

data , data analysis , data analytics

mostlyfad's avatarData Journal Blog

Interchanging Analysis and Analytics may seem fine as both words have the same meaning in the dictionary. But when it comes to data, and from a technical perspective, we are talking about two different subjects, regardless of the fact of analyzing data for insights to drive all types of decisions.

According to Merriam-Webster dictionary, Analysis is the separation of a whole into its component parts, while Analytics is the method of logical analysis.

For an easier understanding, as many data scientists love to explain it, think in terms of past and future: Analysis is an overview of what happened while Analytics is about predicting what will happen:

Analysis: having the whole data set and analyzing a sample from it to learn more about it, and see how it is related to the other samples; ex: how my marketing campaign performed and what is the number of customers who responded according…

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