<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Analytics on NV Trends</title><link>https://blogs.nvtrends.com/tags/analytics/</link><description>Recent content in Analytics on NV Trends</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Wed, 18 Feb 2026 14:45:00 +0000</lastBuildDate><atom:link href="https://blogs.nvtrends.com/tags/analytics/index.xml" rel="self" type="application/rss+xml"/><item><title>What is Data Science? Career and Scope</title><link>https://blogs.nvtrends.com/posts/2026/what-is-data-science/</link><pubDate>Wed, 18 Feb 2026 14:45:00 +0000</pubDate><guid>https://blogs.nvtrends.com/posts/2026/what-is-data-science/</guid><description>&lt;p&gt;In today’s digital age, data is often called the &amp;ldquo;new oil.&amp;rdquo; Every time you order food from an app, watch a video on a streaming platform, or use a digital payment method in India, you are generating data. But raw data by itself isn’t very useful. It’s like crude oil that needs refining. This is where Data Science comes into the picture. Data Science is the process of extracting meaningful insights from complex and large volumes of data to help businesses make better decisions.&lt;/p&gt;</description></item></channel></rss>