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What is Data Science and How to Learn It?

What is Data Science and How to Learn It? (Longest, Simple and SEO-Friendly Hindi Blog – No Extra Space, Clean for Copy-Paste) What is data science? Data science is a field that involves collecting, cleaning, analyzing and extracting valuable information from data. The purpose of data science is to extract patterns, trends and insights from large and complex data sets that can help make informed decisions in business, research, health, marketing and other areas. In today's digital age, millions of data points are being generated every second. Data scientists are needed to understand and use them. That's why data science is considered the hottest and in-demand skill today. Key parts of data science Data Collection: Collecting data – from websites, mobile apps, social media, surveys, transactions, etc. Data Cleaning: Removing incorrect, incomplete or duplicate data to make the analysis accurate. Data Analysis: Analyzing the data to find out what it is saying. ...

HTML vs. CSS vs. Javascript: What's the Difference?  

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Three essential technologies are unavoidably encountered when delving into the realm of web development: HTML, CSS, and JavaScript. Although they can appear complicated at first, it is essential to comprehend their functions and how they cooperate in order to create dynamic and captivating websites. Let's dissect each of these technologies and examine how they each provide something special to the field of web development. HTML: The Web's Foundation Consider HTML to be a website's framework. It offers the fundamental organization and content, outlining the components that comprise a webpage, including as headers, paragraphs, pictures, links, and forms. HTML marks up text and defines its meaning with tags, which are surrounded in angle brackets (<>). For instance, a top-level heading is indicated by the <h1> tag, but a paragraph is represented by the <p> tag.  https://cartoonani.yju.ac.kr/gallery/18 https://www.konev.cz/diskuse/ying-dui-bu-kao-pu-de-lun-wen...

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